strengthening statistical computing for nars-2014_01-07-14.pdf

Strengthening StatiStical computing for narS

Printed on : March 2014

Component : 1 (Catalyzing Agent for Management of Change in the Indian NARS)

Citation : Final Report of NAIP Sub-project ‘Strengthening Statistical Computing for NARS’. Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi. 108 p. (2014, Eds. Rajender Parsad)

Copyright : © Indian Council of Agricultural Research (ICAR), New Delhi. All rights reserved. Reproduction of material in this report for educational or other non-commercial purposes is permitted provided the source is fully acknowledged.

Disclaimer : The information presented herein is contribution of the consortia.

Published by : Director, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110 012,

Phone: 011-25841479, Fax: 011-25841564 Email: [email protected], Website: www.iasri.res.in

Edited by : Rajender Parsad

Compiled by : Rajender Parsad, Ravinder Malhotra, B. Singh, Latika Sharma, Dileep Panda, N. Uttam Singh, M. Gopinath Rao, A. Dhandapani, Shrinivas Jahageerdar, Seema Jaggi, Lalmohan Bhar, Amrit Kumar Paul and Samir Farooqui

Hindi translation : Sh. R.S. Tomar, Ms. Sunita and Hindi Unit, IASRI, New Delhi

Other Credits : Project Team (including scientists, technical officers, SRFs and administrativestaff) and all Nodal Officers for their contributions in complementation. Sh. A.R. Paul for designing the layout.

Cover page photographs : Indian NARS Statistical Computing Portal Screen shot and Statistical Computing Hub wise distribution of researchers trained.

Typeset & Printed by : Royal Offset Printers, A-89/1, Naraina Industrial Area, Phase -I, New Delhi-110028

Strengthening StatiStical computing for narSForeword

Statistics is the science of drawing valid conclusions under uncertainty. The importance of statistical science in agriculture is obvious, where the collection, analysis and interpretation of numerical data are concerned to answer quantitative biological questions from research data. Statistics plays an important role in experimentation, while manyscientificproblemscouldbesolvedbydifferentstatisticalprocedures.Widespreaduseofcomputersandspecialized high end statistical software packages have helped and greatly improved the ability of researchers to analyze and interpret voluminous data. The statistical computing support is essential in improving the quality of agricultural research to make it globally competitive and acceptable. With this background, the present project on Strengthening Statistical Computing for NARS (SSCNARS) funded by National Agricultural Innovation Project (NAIP) of Indian Council of Agricultural Research (ICAR) was taken up. Implementationof this consortium in 3-tier structurewithfirst tier as lead centre, 08NARSorganizations asStatistical Computing Hubs at second tier and third tier as 142 other NARS organizations as nodes is unique effort in the sense that each NARS organization is linked with each other, which has resulted into effective collaboration among all NARS organizations. This has empowered the statisticians and other researchers by creating healthy statistical computing environments and by providing the high-end statistical computing package(s) for statistical computing as is available at premier Institutes. It has provided the statisticians an opportunity to interact with each and every researcher of NARS through 115 (11 for trainers and 104 for researchers) training programmes and e-resources. The Indian NARS Statistical Computing Portal developed for providing service oriented computing has been well received by NARS researchers. The automation system developed for creation of research data repository and standardization of analysis of All India Sorghum Crop Improvement Project would be a guiding force for other All India Coordinated Projects in the Council.The interventions made have been helpful in drawing statistically valid conclusions, use of complex statistical techniques and save on time and resources. The capacity building efforts have paved the way for publishing research papers in the high impact factor journals. This would be continued as a research activity of Indian Agricultural Statistics Research Institute in XII Plan. To further harness the benefits of the healthy statistical computingenvironment created and meeting the future requirements, the activities of enhancing Statistical Computing for National Agricultural Research and Education System (NARES) may be continued in the form of a network project with provision of appropriate funds. In future, for procurement of statistical packages as per requirement and updates and upgrades of the existing ones, enough provision of funding needs to be made. The scientists involved in this project from IASRI and Consortium Partners have put in a lot of valiant efforts in providing this facility to the researchers of NARS and training them in enhancing their computing and research analytics skills. The entire team of SSCNARS led by Dr. Rajender Parsad deserves appreciation for carrying out this work. It is expected that the healthy statistical computing environment created in NARS would continue benefittingthescienceandthescientists.

New Delhi June 2014 Director,

IASRI & Consortium Leader


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PrefaceStatistics provides a strong base for any scientific investigation. Statistical techniques help in drawing validinferences on the basis of data collected during the course of investigation. Statistical tools have wide applicability covering almost all branches of science dealing with uncertain phenomena involving aggregates. Statistical computing methods enable to answer quantitative biological questions from research data so that the amount of information generated is maximized. In order to provide statistical computing environment in NARS, the present project on Strengthening Statistical Computing for NARS (SSCNARS) was formulated. This consortium is an outcome of visualization of research managers, research facilitators, researchers and trainers to create sound and healthy statistical computing environment for the benefit of scientists ofNARS so as to help inmakingagricultural research globally competitive, with enhanced acceptability and increased visibility. This project targeted at providing advanced, versatile, innovative and state-of the art high end statistical packages, mainly SAS, and technical support on statistical computing by applications of these packages to undertake appropriate, sophisticated and computationally involved statistical analysis of data. Strengthening Statistical Computing labs have been established at lead Centre (with 20 desktop computers) and at 08 other Statistical Computing Hubs (with 10 desktop computers at each hub). The general purpose Statistical Software Package(s) SAS EAS, JMP and JMP Genomics have been procured with 151 licenses (100 Standalone and 50 Intranet Based) + SAS Enterprise Business Intelligence Server with all modules of SAS Intranet based for perpetual use with three years updates and upgrades by 151 different NARS Organizations. It can be installed on multipleofficialmachines.Morethan200 researchers/nodalofficersfrom151 NARS organizations have been trained through 35 Orientation-cum-Installation Training Programmes. The software is installed on more than 2750 computers of 151 NARS organizations. 2785 researchers (209 trainers, 2330 researchers; 246 RA/SRFs/research scholars) have been trained through 115 training programmes organized by lead centre IASRI, New Delhi and Consortium Partners in the usage ofstatisticalsoftware.Fifteenofthese115trainingprogrammeswereorganizedforspecificneedsofdifferentInstitutions. For providing service oriented computing to Indian NARS users, a portal has been established which is available through IP authentication at http://stat.iasri.res.in/sscnarsportal. This portal contains different modules for statistical analysis of data. Both the portal and bulletin of portal are copyrighted material of ICAR. The prototype developed for creation of research data repository and standardization of analysis of data for All-India Coordinated Sorghum Crop Improvement Project, if scaled up would cover all AICRPs through a separate mega network project for paving the way for developing research data repositories, standardizing the analytical modules and saving on time and resources. Besides these, 07 Macros / Codes have been developed for customized analysis and are made available on Institute’s home page.Instructionalmaterialintheformofreferencemanualshasbeenpreparedforthebenefitoftheresearcherswhichinclude live examples from different areas of agriculture, animal and fisheries research illustrating the power ofnewer statistical computing techniques and made available in open access at project website www.iasri.res.in/sscnars. Healthy statistical computing environment and capacity building efforts have paved the way for use of appropriate statistical techniques; publication of research in international refereed journals of repute with high impact factors and savings on time and resources.


Availability of a sound statistical computing environment for the scientists in NARS containing powerful, modern, efficientandprecisegeneralpurposestatisticalsoftwarepackageforundertakingin-depthandaccuratestatisticalanalysis of data generated from agricultural research is expected to bring a revolution in the analysis of agricultural researchdata.Thiswilldefinitelyincreasethevisibilityofagriculturalresearchatinternationallevel.Tofurtherharnessthebenefitsofthehealthystatisticalcomputingenvironmentcreatedandmeetingthefuturerequirements,the activities of enhancing Statistical Computing for NARES may be continued in the form of a network project with provision of appropriate funds.We take this opportunity to thank former and present National Director, NAIP; National Coordinator, NAIP Component–IandotherofficersandstaffofNAIP-PIUforprovidingusthegrantforundertakingthisbiginitiativeand guiding us from time to time. We are also grateful to all the members of various committees constituted by NAIP to identify the path for providing high end statistical computing support to scientists of NARS. We are also thankful to Negotiation Committee constituted by NAIP-PIU for procurement of high end statistical computing package(s). We express our sincere thanks to Directors and Vice-Chancellors of all the 09 Statistical Computing Hubs including lead centre, for their guidance and making all necessary facilities available to us. We express our gratitudetoallNodalOfficersfrom151NARSorganizationsfortheirwillingco-operationandhelpforsmoothnationwide implementation of the project. We are also thankful to one and all who were involved in this project.

New Delhi PROJECT TEAMJune 2014


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Executive SummaryStatisticalcomputingprovidesastrongbaseforanyscientificinvestigationandenables toanswerquantitativebiological questions so that the amount of information generated is maximized. The present project on Strengthening Statistical Computing for NARS (SSCNARS) funded by NAIP of ICAR targets at providing research guidance in statistical computing and creating sound and healthy statistical computing environment through advanced, versatile, innovative and state-of the-art high end statistical packages for analysis of data so as to enable drawing meaningful and valid inferences and converting research output into knowledge. Thisconsortiumhasbeenimplementedin3-tierstructurewithfirsttierasleadcentre,08NARSorganizationsas Statistical Computing Hubs at second tier and 142 other NARS organizations as nodes at third tier. MOUs were signed with each NARS organization for the enhanced usage of the environment created which has resulted into effective collaboration among all NARS organizations. This effort is unique in the sense that all NARS organizations are linked with each other. This has empowered the statisticians and other researchers by providing the facilities of statistical computing to them as is available at premier Institutes. It has provided the statisticians an opportunity to interact with each and every researcher of NARS through training programmes and e-resources. Statistical Computing labs have been established at lead Centre (with 20 desktop computers) and at 08 other Statistical Computing Hubs (with 10 desktop computers at each hub). General purpose Statistical Software Package(s) SAS EAS, JMP and JMP Genomics have been procured with 151 licenses (100 Standalone and 50 Intranet Based) + SAS Enterprise Business Intelligence Server with all modules of SAS Intranet based for perpetual use with three years updates and upgrades by 151 different NARS Organizations. Itcanbeinstalledonmultipleofficialmachines.Thesoftwareisinstalledonmorethan2750computersof151NARS organizations (on an average more than 18 computers per NARS organization). More than 200 researchers/nodalofficersfrom151NARSorganizationshavebeentrainedthrough35Orientation-cum-InstallationTrainingProgrammes. This activity has ensured that trained manpower to install the software is available at all the NARS organizations.Capacitybuildingeffortshavebeenmadethroughorganizationoftrainingprogrammesincludingsubjectspecificones, preparing e-manuals and case studies for rejuvenating statistical thinking and use of appropriate advanced statistical techniques in agricultural research and teaching. For creating a base for resource persons, 209 trainers have been trained through 30 working days training programmes on SAS: A Comprehensive Overview and SAS Genetics/JMP Genomics across 85 NARS organizations. In order to provide customized training to researchers in NARS, 2166 research personnel have been trained on Data Analysis using SAS through 104 training programmes of one week duration each including 37 trainings at differentorganizations and15 subject specificcustomized trainingprogrammes for specificneedsofdifferentinstitutions.164researchershavebeentrainedbynodalofficersatTamilNaduAgriculturalUniversity,CoimbatoreNational Research Centre on Agroforestry, Jhansi; Indian Grassland and Indian Grassland and Fodder Research Institute, Jhansi and Junagarh Agricultural University, Junagarh. 156 research scholars and 90 RA/SRFs have also been trained.To sensitize the scientists in NARS with the statistical computing capabilities available for enhancing their computing and research analytics skills, 21 sensitization workshops were organized at different NARS organizations.ForefficientandeffectiveuseofInternetTechnologiesfordeliveringlecturestosavefundsand

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resources, several Webinar sessions were organized in collaboration with Central Research Institute on Dryland Agriculture, Hyderabad where the licenses for Webinar sessions have been procured. Webinar sessions were also organized through the use of Social Networking Tools (Google Hangouts). For providing service oriented computing, developed and established Indian NARS Statistical Computing portal, which is available to NARS users through IP authentication at http://stat.iasri.res.in/sscnarsportal. It is a paradigm of computing techniques that operate on software-as-a-service. There is no need of installation of statistical package at client side. Twenty-four different modules of analysis of data are available on this portal. These modules can be usedbyuploading*.xls,*.xlsx,*.csvand*.txtfilesandresultscanbesavedas*.rtfor*.pdffiles.ThishashelpedtheresearchersinNARSinanalyzingtheirdatainanefficientmannerwithoutlosinganytime.Theportalisbeingused extensively throughout NARS and has helped the researchers in analyzing their data without losing any time. INDIAN NARS STATISTICAL COMPUTING PORTAL (both content and software) are copyrighted material of ICAR with copyright numbers: L-55719/2013 and SW-7397/2013 issued on October 25, 2013 by Registrar, Copyrights. Some other IP authenticated services like Web Report Studio, BI DashBoard, Web OLAP Viewer, E-Miner 6.1, E-Miner 7.1 have also been provided to the researchers of NARS.For creation of research data repository and standardization of analysis of data for All-India Coordinated Sorghum Crop Improvement Project, a prototype has been developed by NAARM, Hyderabad and IASRI, New Delhi in collaboration with Directorate of Sorghum Research, Hyderabad. This system was made operational and now made available at www.aicsip.naarm.org.in. This would be shifted to IASRI, New Delhi after validation and testing. The prototype for automation of All India Coordinated Sorghum Improvement Project needs to be scaled up to cover all AICRPs through a separate mega network project for paving the way for developing research data repositories, standardizing the analytical modules and saving on time and resources. Work in collaboration with AICRP on Vegetable Crops has already been initiated.For customized analysis, macros for analysis of augmented designs, split-split plot designs, split factorial designs, strip plot designs, econometric analysis (diversity indices, instability index, compound growth rate, Garret scoring technique and demand analysis using LA-AIDS model) have been developed and made available on the project website which are being extensively used by researchers.Referencemanualshavebeenpreparedforthebenefitoftheresearcherswhichincludeliveexamplesfromdifferentareasofagriculture,animalandfisheriesresearchillustratingthepowerofnewerstatisticalcomputingtechniquesand are made available at the website of sub-project www.iasri.res.in/sscnars. These include Data Analysis Using SAS, Genetics/ Genomics Data Analysis Using SAS, Data Analysis in Social Sciences Research Using SAS, Data Mining Using SAS, Data Analysis of Agroforestry Experiments Using SAS, Data Analysis of Natural Resources Management Research Using SAS; Data Analysis of Farm Implements and Machinery Research; Data Analysis in Dairy Sciences Research and Data Analysis Using R.The capacity building efforts have paved the way for publishing research papers in the high impact factor journals. Based on feedback received from NARS organizations, 173 research reports, 260 research papers have been published / accepted for publication (in journals like Animal Food Science and Technology, Field Crops Research, Journal of Food Engineering, Euphytica, Journal of Applied Polymer Science, etc.) by analyzing the data using high end statistical computing facility (out of these 260 research papers, 135 are in Journals with NAAS rating ≥ 6.0); more than 300 students have used this in their dissertations; 1700 students have used in their course work. Thenumberofdatasetsanalyzedismorethan6000acrossNARS.NodalofficerfromCMFRI,Kochihasreporteda saving of 20 man months in compilation of data related to Marine Fish Household Census 2010 consisting of 10 lakh households with 16 attributes. Website of the project is being maintained and updated regularly. Website has been registered under google analytics on November 15, 2010. Till March 31, 2014 there were 43,239 page views across 529 cities of 82 countries. Average time on page is 3.03 minutes. The total hits to the portal are: 1,97,816 since April 01, 2011, which amounts to more than 100 hits per day. Based on the user logged information, the


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total number of logged in users from Indian NARS since March 2012 are 24,926. It has been included in the FOCARS training programmes conducted by NAARM, Hyderabad and 799 scientists have been sensitized about the capabilities of the software and data analysis using SAS. Also 211 scientists were sensitized through Refresher Courses conducted at NAARM, Hyderabad about data analysis using SAS.The high end Statistical Computing Package procured with perpetual license can be used till hardware and operating systems would support the versions available as on June 29, 2013. Hence, the statistical computing environment created would be useful in all future research endeavours. The capacity building efforts made are expected to have a multiplier effect. The activities of Strengthening Statistical Computing for NARS are proposed in EFC for XII Plan of IASRI and would be continued in project mode from April 01, 2014. This would facilitate implementation ofupdatinglicensefiles,resolvingmaintenanceissuesandmaintenanceofserviceorientedcomputingmodules. Tofurtherharnessthebenefitsofthehealthystatisticalcomputingenvironmentcreatedandmeetingthefuturerequirements, the activities of enhancing Statistical Computing for National Agricultural Research and Education System (NARES) may be continued in the form of a network project with provision of appropriate funds. It would also help in strengthening of Indian NARS Statistical Computing Portal by adding more modules of statistical analysis of data to culminate into a service oriented computing resource for standardization of statistical analysis of data. Capacity building efforts in statistical concepts and statistical computing need to be pursued on continuing basis including international exposure for synthesizing various statistical packages into the basket. More statistical packages including freeware may be brought under this umbrella. In future, for procurement of statistical packages as per requirement and updates and upgrades of the existing ones, enough provision of funding need to be made.


1. Title of the sub-project : Strengthening Statistical Computing for NARSwww.iasri.res.in/sscnars (Global URL)http://stat.iasri.res.in/sscnarsportal (IP Authenticated Service oriented computing)

2 Sub-project code : Number: 102001

3 Component : Component-I

4 Date of sanction of sub-project

: April 20, 2009

5 Date of completion : March 31, 2014

6 Extension, if granted April 01, 2012-March 31, 2014

7 Total sanctioned amount for the sub-project

: ` 1467.43595 lakhs[Released ` 1270.55958 lakhs {refunded ` 30.34199lakhs balanced of year 2011-12 to NAIP}: Actual Release ` 1240.21759 lakhs]

8 Total expenditure of the sub-project

: `1254.25016 lakhs (till 31.03.2014)

9 Consortium Leader : Director Indian Agricultural Statistics Research Institute,Library Avenue, Pusa, New Delhi-110 012Phone No.: 011-25841479Fax No.: 011-25841564E-mail: [email protected]

10. List of Consortium Partners

Name of CPI/CCPI with designation

Name of organization and address, phone & fax, email

Duration(From-To)

Budget (` Lakhs)

CPI Dr. Rajender ParsadPrincipal Scientist & Head

Division of Design of Experiments,Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi-110 012Phone (O) 011-25843573Fax: 011-25841564E-mail: [email protected]; [email protected]; [email protected]

20.04.2009 to 31.03.2014

987.56325

Part-I: General Information of Sub-project


8

CCPI 1 Dr. Ravinder Malhotra Principal Scientist

DES & M Division,National Dairy Research Institute,Karnal-132001, HaryanaPhone: (O) 0184-2259172 Fax: 0184-2250042E-mail: [email protected]; [email protected]; [email protected]

20.04.2009 to 31.03.2014

60.79750

CCPI 2 Dr. B. SinghPrincipal Scientist & Head

Division of Livestock Economics & Statistics, IVRI, Izatnagar -243122, U.P.Phone: (O) 0581-2300207 Fax: 0581-2303284E-mail: [email protected]; [email protected]

20.04.2009 to 31.03.2014

58.43700

CCPI 3 Dr. K.A.VargheseAssociate Professor

Department of Statistics & Computer Application, RCA, Maharana Pratap University of Agriculture & Technology, UdaipurEmail:[email protected]

20.04.2009 to 01.01.2010

55.42660

Dr. Latika SharmaAssistant Professor andFieldOfficer

Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur-313001 RajasthanPhone: (O) 0294-2412306 & 2417004; Fax: 0294-2420447E-mail: [email protected]

01.01.2010 to 31.03.2014

CCPI 4 Dr. Dileep PandaSenior Scientist

Directorate of Water Management, Opposite Rail Vihar, Chandrasekharpur Bhubaneswar-751023, Orissa Phone: (O) 0674-2300060 Fax: 0674-2301651 E-mail: [email protected]; [email protected]

20.04.2009 to 31.03.2014

66.10840

CCPI 5 Dr. Med Ram VermaScientist

ICAR Research Complex for NEH Region, Umiam (Barapani), Meghalaya-793103 Phone: (O) 0364-2570635 Fax: 0364-2570355; 0364-2570680

20.04.2009 to 04.08.2009

49.83463

Sh. N. Uttam SinghScientist

Division of Agricultural Economics & Statistics, ICAR Research Complex for NEH Region, Umiam (Barapani), Meghalaya-793103 Phone: (O) 0364-2570635 Fax: 0364-2570355; 0364-2570680E-mail: [email protected]

05.08.2009 to 31.03.2014

CCPI 6 Dr. M. Gopinath RaoProfessor & Head

Department of Agricultural Statistics, College of Agriculture, GKVK, UAS, Bengaluru-560065Phone: (O) 080-23330153-364 Fax: 080-23636730E-mail: [email protected]; [email protected]; [email protected]

20.04.2009 to 31.03.2014

58.81740

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9

CCPI 7 Dr. M.N. ReddyPrincipal Scientist

National Academy of Agricultural Research Management,Rajendranagar, Hyderabad-500407 Phone: (O) 040-24581324; Fax: 040-24581452 E-mail : [email protected]

20.04.2009 to 21.12.2011

64.75960

Dr. A. DhandapaniPrincipal Scientist

National Academy of Agricultural Research Management,Rajendranagar, Hyderabad-500407 Phone: (O) 040-24581324 Fax: 040-24581452 E-mail: [email protected]

22.12.2011 to 31.03.2014

64.75960

CCPI 8 Dr. Shrinivas JahageerdarPrincipal Scientist

Central Institute of Fisheries Education, Fisheries University Road, Seven Bugalows, Versova, Mumbai – 400 061Phone: (O) 022-26361446 Fax: 022-26361573E-mail: [email protected]; [email protected]; [email protected]

20.04.2009 to 31.03.2014

65.69160

CPI-Consortia Principal Investigator; CCPI- Consortium Co-Principal Investigator

Statement of budget released and utilization partner-wise (` in Lakhs)

CPI/ CCPI Name, designation & address)

Total budget sanctioned

Fund released(till 31/12/2013)

Fund utilized(till 31/03/2014)

CPI Dr. Rajender ParsadPrincipal Scientist & Head of Division IASRI, New Delhi

987.56325 936.1241(945.37852)

(Rs. 9.25446 lakhs refunded to NAIP as balance of 2011-12)

938.69900

CCPI 1 Dr. Ravinder Malhotra Principal ScientistNDRI, Karnal

60.79750 36.12760 36.15855

CCPI 2 Dr. B. SinghPrincipal Scientist and Head of DivisionIVRI, Izatnagar

58.43700 33.06938(39.11158)


32.06958

CCPI 3 Dr. Latika SharmaAssistantProfessor&FieldOfficer

MPUA&T, Udaipur

55.42660 33.79626 33.50546

CCPI 4 Dr. Dileep PandaSenior ScientistDWM, Bhubuneswar

66.10840 37.39790(44.25672)


39.85449

CCPI 5 Sh. N. Uttam SinghScientistICAR RC NEHR, Barapani

49.83460 41.85926 44.46906


10

CCPI 6 Dr. M. Gopinath RaoProfessor & HeadUAS, Bengaluru

58.81740 39.96908 39.71780

CCPI 7 Dr. A. DhandapaniPrincipal ScientistNAARM, Hyderabad

64.75960 35.70387(43.89035)


40.66491

CCPI 8 Dr. Shrinivas JahageerdarPrincipal Scientist CIFE, Mumbai

65.69160 46.17020 49.11130

Total 1467.43595 1240.21759(1270.55958)

(Rs.30.34199 lakhs refunded to NAIP as balance of 2011-2012)

1254.25016

CPI-ConsortiumPrincipal Investigator;CCPI-ConsortiumCo-Principal Investigator; figures in the parenthesis show theactual release.


Part-II: Technical Details 1. Introduction Statistical analysis is an important tool to extract as much information as possible from the given data. Statistical computing methods enable to answer quantitative biological questions from research data and help to plan new experiments in a such way that the amount of information generated from each experiment is maximized. Proper and appropriate use of statistical methods for agricultural data analysis in particular is crucial, and serves as a tool tomaximizethebenefitsobtainedfrominvestmentsinagriculturalresearch.Widespreaduseofcomputersandspecialized high end statistical software packages have helped and greatly improved the ability of researchers to analyze and interpret voluminous data. Developments in computerized statistical analysis have enhanced the ability of researchers to come up with better conclusions. This has helped in improving their statistical, computer-related and networking skills of the researchers. For exploiting and sustaining these developed skills, availability of proper computing and infrastructure facilities to agricultural research in National Agricultural Research System (NARS) is of utmost consequence. The statistical computing support would be useful in improving the quality of agricultural research and make it globally competitive and acceptable by way of publications in International refereed Journals. Therefore, research managers, research facilitators, researchers and trainers visualized to create asoundandhealthystatisticalcomputingenvironmentforthebenefitofscientistsofNARS.In order to put this thought into reality, a committee was constituted by NAIP to identify the path for providing high end statistical computing support to scientists of NARS. The committee unanimously desired that a system may be evolved wherein the agricultural research workers may get specialized statistical computing support so that their research becomes globally competitive. Broadly the committee suggested the following:• Tocreateahealthystatisticalcomputingenvironment for thebenefitof thescientists inNARSbywayof

providing advanced, versatile, innovative and state-of the art high end statistical software packages. • The availability of an excellent statistical computing environment would benefit the scientists in NARS

immensely and enable them to draw meaningful and valid inferences from their research. • Statistical computing support would help improve the quality of agricultural research and make it globally

competitive and acceptable by way of publications in International refereed Journals. Itwasalsodebatedastohowthequalityofresearchwouldbeenhancedandfinallythecommitteewasoftheview that the quality of research would improve by the quality of statistical data analysis being done. If the data are subjected to sophisticated analysis and sound interpretation, the quality and reliability of research output is expected to enhance. It is emphasized here that for performing the quality data analysis, the relevant statistical packages would play a very important role. To implement this, it was suggested that NAIP may consider negotiating for general purpose statistical software for all the scientists in NARS. It was also realized that while the general purpose statistical software is a good step but there was an apprehension that because of poor connectivity and differential requirements of different research organization the general purpose software may not yield the desired results. Given the state of internet connectivity at that time in NARS, the following alternatives were suggested: • The general purpose statistical software may not be hosted at a centralized server. Instead it may be decentralized

and each institute may have individual licenses and the software hosted at their respective institutes. This


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wouldgiveafreedomtotheInstitutestoselectmodules/add-onsaccordingtotheirspecificresearchneeds.• A negotiated cost of the perpetual license along with the cost of add-ons and updates for single user / multi-

user may be obtained. The software may be made available at the negotiated cost to all those Institutes which require such software.

On the basis of these suggestions, NAIP initiated a process to assess the existing status of statistical computing along with the preferences for high end statistical computing requirements. For this purpose a questionnaire was designed for obtaining relevant information from various research organizations under NARS. A total of 74 responses were obtained. Majority of the respondents said that they do not have access to statistical packages tomeet their requirementsofstatisticalanalysis,availabilityofqualifiedstatisticalprofessionals is inadequateand funds availability for strengthening statistical computing is inadequate. Several user meetings were also organized by PIU-NAIP. In these meetings 28 users (13 from ICAR Institutes and 15 from SAUs) representing the disciplines of Plant Breeding and Genetics, Plant Biotechnology, Soil Science, Agronomy, Entomology, Soil Physics, Plant Physiology, Post Harvest Technology, Agricultural Engineering, Floriculture, Fishery Sciences and Animal Sciences attended the meeting. In this meeting, user scientists were of the opinion that this initiative should aim at capacity building of scientists and also help them to improve the quality of agricultural research through appropriate, sophisticated, valid and accurate analysis of data generated. To achieve this, availability of a general purpose statistical package is the requirement of the NARS. The availability of general purpose statistical software package would help in the proper statistical analysis of data and drawing statistically valid conclusions and hence in improving the quality of research and thus the investment to be made in this project will be helpful for improving the quality of agricultural research. However, accuracy and reliability of computations along with ensured technical support should be one of the keys for deciding on the procurement of statistical package. It was expressed by some of the stakeholders (CIFE, Mumbai) that the availability of general purpose statistical package i.e. SAS, has improved the quality of research and education at their respective Institutions. The scientists and the students have been able to publish their research in international journals. On the basis of the information received from various research organizations and the meetings with the user scientists, the committee constituted the idea of realizing this task of providing high end statistical computing was initiated and conceptualized in the form of this project. The present project, therefore, aims at providing research guidance in statistical computing so as to provide enabling statistical computing facilities to the researchers of NARS by applications of general purpose statistical software package(s) that help in undertaking appropriate, sophisticated and computationally involved statistical analysis of data keeping in mind also the accuracy and precision of results. It also aims at providing advanced, versatile, innovative and state-of the-art high end statistical packages for analysis of data so as to enable drawing meaningful and valid inferences and converting research output into knowledge.The efforts would not merely be focused on an interface of statistics, computer science and numerical analysis, but it would also involve designing of intelligent algorithms for implementing statistical techniques particularly for analyzing massive data sets, simulation, bootstrap, etc.

2. Overall Sub-project Objectives1. To strengthen the high end statistical computing environment for the scientists in NARS.2. To organize customized training programmes and also develop training modules and manuals for the trainers

at various hubs.3. To sensitize the scientists in NARS with the statistical computing capabilities available for enhancing their

computing and research analytics skills.

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3. Sub-projectTechnicalProfileWork planObjective 1: To strengthen the high end statistical computing environment for the scientists in NARS.

• Establishment of Statistical Computing labs at 09 statistical computing hubs (including lead centre).• Procurement of general purpose high-end Statistical Software Package(s) SAS, JMP and JMP

Genomics with 150 perpetual licenses (100 Standalone and 50 Intranet Based) + SAS Enterprise Business Intelligence Server for 151 different NARS Organizations (ICAR Institutes/ NRCs/ PDs/ SAUs/CAUs/Agricultural Colleges with Post Graduate Education).

• ConfigurationofSASBIServer/centralizedstatisticalcomputingfacilityatIASRI,NewDelhiforuseof all researchers across NARS.

• Installation of software on server and/or on multiple machines in NARS organization. • Development and strengthening of service-oriented computing modules and development of prototype

of creation of research data repository and standardization of analysis of data from All India Coordinated Sorghum Improvement Project was added for the extension period.

Objective 2: To organize customized training programmes and also develop training modules and manuals for the trainers at various hubs.• Strengthening Statistical Computing Hubs in terms of imparting training and technical support in the

usageofstatisticalsoftwarepackage(s)tothescientificandtechnicalpersonnelofstatisticalcomputinghubs. This would involve - Organization of installation training at each statistical computing hub.- Conduct of training of a total of 274 days by vendor company comprising of 30 days at each of the 08

statistical computing hubs and 34 days at Lead Centre. Expected number of people to be trained is 180. - Organization of training programmes for trainers from statistical computing hubs at lead centre

with an orientation towards application in agricultural sciences.Objective 3: To sensitize the scientists in NARS with the statistical computing capabilities available for enhancing their computing and research analytics skills.• Organization of training programmes in the usage of statistical software package(s) to the research

personnel of different NARS organizations along with the help and technical support of the vendors. This will be done both by lead centre and other 08 statistical computing hubs.

• It is expected to train approximately 1400 researchers across NARS in the usage of statistical package through 71 researchers training programmes of one week duration each. Target was revised by adding organizationof28moretrainingprogrammesforfurthercapacitybuildingandharnessingthebenefitsfortheextensionperiod.Itincludedcustomizedtrainingprogrammesforspecificneedsofdifferentinstitutions and workshops/training programmes on specialized topics of statistical computing.

• To organize sensitization programmes at different NARS organizations.• Preparation of instructional material by including live examples from different areas of agriculture,

animalandfisheriesresearch.Itwillinvolvecollectionoflivedatasetsforillustratingthepowerofnewer statistical computing techniques which in turn is expected to enhance the quality of research.

Monitoring IndicatorsThe monitoring indicator of the system would be the extent to which the researchers have been trained in the effective usage of computing facilities developed for improving the quality of their research. Some of the monitoring indicators will be as under:


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• Number of software licenses purchased and installed• Number of training programmes organized• Number of research personnel who acquired sophisticated statistical computing skills• Number of trainings imparted to the people managing statistical computing hubs• Number of advanced areas and topics on which training were imparted to researchers of NARS • Number of post graduate students who took advantage of high end statistical computing facilities• Providing a platform for knowledge sharing and cross leveraging of learning• Enhancingscientists’skillsfortheirselfconfidence,independenceandsoundknowledgeforstatistical

analytical techniques • Number of data sets analyzed with advanced statistical techniques• Number of hits on the Website of the project• Number of hits on Indian NARS Statistical Computing PortalIn addition to above quantitative monitoring indicators, the success of the project will also be evaluated through qualitative attributes such as recognitions by peer group on the researches carried out with the help of latest statistical tools, drawing valid and correct inferences and conclusions on application of high end statistical computing techniques and feed-back from researchers.

Expected output• Availability of high end statistical software package(s) with NARS organizations• Statistical Computing Labs at each of the 09 statistical computing hubs• Trained manpower in the usage of statistical packages• Service Oriented Computing Modules through Internet Protocol (IP) Authentication• Number of publications in international journals with high impact factor using the statistical computing

environment made available• Number of quality publications, both papers and reports

Expected outcome• Availability of very healthy statistical computing environment for the scientists in NARS containing

a very powerful, all inclusive, amodern, efficient and precise general purpose statistical softwarepackage for undertaking a probing, in-depth and accurate analysis of data generated from agricultural research. This is expected to bring a revolution in the analysis of agricultural research data.

• Exploratory data analysis, which previously was avoided because of non-availability of the high end statistical package, would become a common feature of all agricultural research. The power of the package to graphically display dynamic, interactive visual research can enrich the knowledge of agriculturalscientistsandilluminateconceptswhichwasmoredifficulttocomprehendearlierwithoutstatistical software package.

• Publication of research in international refereed journals of repute with high impact factors, leading thereby to an increased visibility of agricultural research at international level.

• Heavy impact on scientific research publications in general and accelerated growth of agriculturalresearchinadvancedareaslikebiotechnology,geneticsandbreeding,agriculturalfieldexperiments,micro-arrays, etc.

• Realization of the importance of statistical computing in agricultural research and enrichment of statistical computing skills of agricultural scientists.

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• The trained researchers would become the trainers at their respective organization to have a multiplicative effect on the development of trained manpower in the country.

• Indian NARS Statistical Computing Portal to culminate into a service oriented computing resource for standardization for statistical analysis of data generated by researchers in the Indian NARS and to pave the way for facilitating customized modules / prototype for one All India Co-ordinated Research Project.

4. Baseline Analysis To assess the existing status of statistical computing along with the preferences for high end statistical computing requirements, NAIP-PIU designed a questionnaire for obtaining relevant information from various research organizations under NARS. A total of 74 responses were obtained. Majority of the respondents said that they do not have high-end statistical packages to meet their requirements of statistical analysis, availability ofqualifiedstatisticalprofessionalsisinadequateandfundsavailabilityforstrengtheningstatisticalcomputingis inadequate. Further, in several user meetings organized by PIU-NAIP, the user scientists were of the opinion that this initiative should aim at capacity building of scientists and also help them to improve the quality of agricultural research through appropriate, sophisticated, valid and accurate analysis of data generated. To achieve this, availability of a general purpose statistical package is the requirement of the NARS. The availability of general purpose statistical software package would help in the proper statistical analysis of data and drawing statistically valid conclusions and hence in improving the quality of research. Some of the stakeholders (such as CIFE, Mumbai) expressed that the availability of general purpose statistical package i.e. SAS, has improved the quality of research and education at their respective Institutions. The scientists and the students have been able to publish their research in International Journals. Based on informal discussions, it was observed that prior to 2010, SAS was available with CIFE, Mumbai; UAS, Dharwad (which were paying more than Rs. 4.00 lakhs p.a.), IASRI, New Delhi; DOR, Hyderabad (only SAS E-miner: Rs. 0.80 lakhs p.a.). Some NARS organizations CMFRI, Kochi; CIFA, Bhubaneswar; Sher-E-Kashmir University of Agricultural Sciences & Technology-K, Shalimar, Srinagar and NCIPM, New Delhi had SAS but could not continue due to inadequate resources. Some organizations such as NCAP, New Delhi were at the advanced stage of procurement.

5. Research Achievements with SummaryThisconsortiumhasbeenimplementedin3-tierstructurewithfirsttierasleadcentre,08NARSorganizationsas consortium partners Statistical Computing Hubs at second tier and third tier as 142 other NARS organizations as nodes. MOU’s were signed with each NARS organizations for the enhanced usage of the environment created which has resulted into effective collaboration between all NARS organizations. It is unique in the sense that every NARS organization is linked with each other. This has empowered the statisticians and other researchers by providing the facilities of statistical computing to them as is available at premier Institutes. It has provided the statisticians an opportunity to interact with each and every researcher of NARS through training programmes and e-resources.

Establishment of Statistical Computing Lab

- Statistical computing labs have been established at Lead Centre (with 20 desktop computers) and at 08 other Statistical Computing Hubs (with 10 desktop computers at each hub). The Lab at Lead Centre was inaugurated by Dr. S. Ayyappan, Secretary DARE and Director General, ICAR on June 08, 2010. The statistical computing labs have been used in the training programmes conducted under the aegis of this sub-project, other NAIP Sub-projects, Summer/ Winter Schools/ CAFT programmes and students and researchers across NARS.


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Procurement, Handing Over the Software Depot & Manuals and Installation- Procured General purpose Statistical Software Package(s) SAS EAS, JMP and JMP Genomics with

151 licenses (100 Standalone and 50 Intranet Based) + SAS Enterprise Business Intelligence Server with all modules of SAS Intranet based with three years updates and upgrades for perpetual use by 151 differentNARSOrganizations.Itcanbeinstalledonmultipleofficialmachinesonsinglemachineand/or server.

- Eachof the 151NARSorganizations nominatedNodalOfficers for their respective organizations.ThesoftwaredepotswerehandedovertoallNodalOfficersin2010.Thelistofnodalofficersisgivenat http://www.iasri.res.in/sscnars/Nodal_Officers.aspx. Even though nodal officershavebeenchanged(in 46 organizations, sometimes more than once) due to promotion/transfer/superannuation, it was ensured that the software depots are properly handed over to the newly appointed nodal officers.The statistical computing architecture is shown as below:

Inauguration of Statistical Computing Laboratory at IASRI, New Delhi

Statistical Computing Architecture

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- Updates and upgrades have been received for three years till June 2013. Imparted installation training to more than 200 researchers/nodalofficersfrom151 NARS organizations through 35 Orientation-cum-Installation Training Programmes spread across a total of 60 days (2 days of one training per year at each of the 09 Statistical Computing Hubs, except at ICAR RC NEHR Barapani during 2011-12). This activity has ensured that at all NARS organizations, trained manpower is available to install the software.

- Detailed installation manuals were prepared and made available at sub-project website.

- Infirst year, theseworkshopsweremainlymeant for installation training andhandingoverof thedepotandinnextthreeyears,thesewereheldtohaveafacetofaceinteractionwithnodalofficers,toresolve the installation & implementation issues and handing over of updates and upgrades. All updates andupgradeshavebeengiventonodalofficersacrossNARSorganizationthroughOrientation-cum-Installation Training Programmes as described earlier. In these workshops, emphasis was also laid on using Indian NARS Statistical Computing Portal.

- Also organized SAS BI Server Platform Administration training during June 02-05, 2010 for 20 Scientific/technicalpersonnelofIASRI,NewDelhi.

- BusinessIntelligenceServer(BIServer)hasbeenconfiguredatIASRI,NewDelhiwithaprovisionofany number of concurrent users (subject to maximum server load). All researchers of Indian NARS can use this facility through IP Authentication. Other IP Authenticated Services are:

(i) Web Report Studio: http://stat.iasri.res.in/sscnarswebreportstudio;

(ii) BI Dash Board: http://stat.iasri.res.in/sscnarsbidashboard;

(iii) Web OLAP Viewer: http://sas.iasri.res.in:8080/sscnarswebolapviewer;

(iv) E-Miner 6.1: http://sas.iasri.res.in:6401/AnalyticsPlatform and

(v) E-Miner 7.1: http://stat.iasri.res.in/SASEnterpriseMinerJWS/Status.

- The software has been installed at more than 2750 computers in 151 NARS organizations (on an average 18 computers per NARS organization).

- JMP Genomics has been installed in Thin Client environment at Agricultural Bioinformatics Lab, IASRI, New Delhi.

- Launch Workshop of the project was organized on June 08-09, 2010 which was inaugurated by Dr. S. Ayyappan, Secretary DARE and Director General, ICAR. A Workshop (Completion as per earlier schedule of the project) was organized at IASRI, New Delhi during June 25-26, 2012. Dr. S Ayyappan, Secretary DARE and Director General, ICAR inaugurated the Workshop. Bulletin on Indian NARS Statistical Computing Portal was released during the occasion.


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The details of versions of the software components that are available with each NARS organization are given in the following Table 1.Table 1: List of Versions of Software Components: Available with Each NARS Organization

S.No SAS 9.2 SAS 9.3

32 bit 64 bit 32 bit 64 bit

1. SAS EAS SAS EAS SAS EAS SAS EAS2. AppDev Studio AppDev Studio SAS (TS1M2) SAS (TS1M2)3. JMP 8 - AppDev Studio AppDev Studio4. JMP Genomics 4.1 - JMP 9 JMP 95. - - JMP10 JMP106. - - JMP Genomics 5.1 JMP Genomics 5.17. - - JMP Genomics 6 JMP Genomics 68. - - JMP Pro 9 JMP Pro 99. - - JMP Pro 10 JMP Pro 1010. - - SAS Enterprise Guide 5.1 -

- SASLicensefiles(SAS9.2,9.3;SASEG4.2,4.3,5.1;SASE-Miner6.1,7.1;SASIMLStudio3.2,3.3; JMP Statistical Discovery Software 8.0, 9.0, 10.0 and JMP Genomics 4.1, 5.1, 6.0) have been uploaded on resource page (http://stat.iasri.res.in/sscnarsportal/public) of Indian NARS Statistical Computing Portal along with instructions for renewal which can be accessed through IP Authentication. ThelicensefileshavealsobeensenttoallnodalofficersthroughE-mail.

A view of Workshop held at IASRI, New Delhi

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- Besides the above, the resource page also contains Reference Manuals, Video links, sample data sets, etc.- To discuss the progress made, lessons learnt and future course of action for Strengthening Statistical

Computing for NARS, 05 Partner’s Meet were organized on June 07-09, 2010; April 28, 2011; November 01, 2011; June 25, 2012 and September 17, 2013 at IASRI, New Delhi. Following publications prepared were released on September 17, 2013 by the dignitaries during the Partner’s Meet (i) Quick Reference Guide: Installation, Maintenance and Trouble Shooting; (ii) Poster on Indian NARS Statistical Computing Portal and (iii) Installation Manual for SAS 9.3.

First Screen of Resource Page

A view of Partners' Meet held on September 17, 2013


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Indian NARS Statistical Computing PortalFor providing service oriented computing, developed and established Indian NARS

Statistical Computing Portal and made available to NARS users through IP authentication at http://stat.iasri.res.in/sscnarsportal. Any researcher from Indian NARS can obtain User name and password from Nodal Officers of their respectiveNARS organizations. It is a paradigm of computing techniques that operate on software-as-a-service. There is no need of installation of statistical package at client side. A screen shot of the Portal is as:

Following 24 analysis modules are available on this portal, which have been classified into four broadcategories as

Basic Statistics • DescriptiveStatistics• UnivariateDistributionFitting• TestofSignificancebasedont-test• TestofSignificancebasedonChi-squaretest• CorrelationAnalysis• RegressionAnalysis

Multivariate Analysis • PrincipalComponentAnalysis• LinearDiscriminantAnalysis

Statistical Genetics • EstimationofHeritabilityfromhalf-sibdata• EstimationofGeneticVariance-Covariance

(from block designs)

Designs of Experiments • Completelyrandomizeddesigns• BlockDesigns(includesbothcompleteand

incomplete block designs) • CombinedBlockDesigns• AugmentedBlockDesigns• ResolvableBlockDesigns• NestedBlockDesigns• Row-ColumnDesigns• CrossOverDesigns• SplitPlotDesigns• Split-Split-PlotDesigns• SplitFactorial(mainA,subB×C) designs • Split Factorial (main A×B, sub C×D) designs • StripPlotDesigns• ResponseSurfaceDesigns

• Theabovemodulescanbeusedbyuploading*.xlsx,*.csvand*.txtfilesandresultscanbesaved as *.rtf or*.pdffiles.

The important features of the portal are as follows: (i) Customized output; (ii) Importantfindingsareeasilyunderstandablebytheresearchers; (iii) In most of the analyses, appropriate tables are created which can be used directly in Reports/Publication.

First Page of Indian NARS Statistical Computing Portal

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Screens on the working of Indian NARS Statistical Computing Portal

• The portal is extensively being used throughout NARS and has helped the researchers in analyzing their data without losing any time. The total hits to the portal are: 1,97,816 since April 01, 2011 which amounts to more than 100 hits per day. Based on the user logged information, the total number of logged in users from Indian NARS since March 2012 are 24,926. The month wise distribution of logged in users is depicted below:


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First Screen of the Prototype

• INDIAN NARS STATISTICAL COMPUTING PORTAL (both content and software) are copyrighted material of ICAR with copyright numbers: L-55719/2013 & SW-7397/2013 issued on October 25, 2013, Registrar, Copyrights.

Prototype for AICRP- Developed a prototype for creation of research data repository and standardization of analysis of data for

All-India Coordinated Sorghum Crop Improvement Project (AICSIP) by NAARM, Hyderabad and IASRI, New Delhi in collaboration with Directorate of Sorghum Research Hyderabad. This system was made operational and now made available at www.aicsip.naarm.org.in. This would be shifted to IASRI, New Delhi after validation and testing. First screen shot of the prototype is

Number of Logged in Users on Indian NARS Statistical Computing Portal

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Different Modules in AICSIP Automation System and Process Flow There are 5 modules in AICSIP automation, namely Experiment Creation Module, Data Upload and Scrutiny,

Analysis Module, Management Module & Admin Module. It facilitates planning of experiments, generate randomizedlayouts/datafilepreparation,maintaininformationabouttheexperimentsatacentralizedplace,allow enter/upload experimental data during the course of experiment (or at the end), has the ability to carry out appropriate statistical analysis and automate uniform reporting process, provides secured access to data for authorized users and different access rights at different levels of users, ability to store the data and results in personal/project folder by the users and be linked to Indian NARS Statistical Computing Portal for online design generation and online analysis of experimental data. The following section explains each module in detail.

Experiment Creation Module The different tasks in this module are (i) Updating the genotype lines database, (ii) Experiment Planning,

(iii) Randomized Layouts (iv)View/Print Randomized layouts. Before planning of the experiments, the genotype lines database should be updated so that it becomes easy while planning the experiment. The updating will involve typically two tasks, namely• Enter new lines received from different centres and assign SPH/SPV numbers. Numbers are assigned

automatically based on the last number assigned• Update Levels of testing for the lines based on last year trials/recommendations from the annual workshop.

This will ensure that only relevant entries are shown automatically while creating advanced trials. The user(s) with “admin” role will be allowed to make these changes.

Types of Experiments The next step in Experiment creation is to create experiment details identifying the type of experiments,

treatments (lines & checks or fertilizer levels etc.), statistical design to be used, locations where the experiments to be conducted, observations to be collected etc. The types of experiments which can be created are as follows:• Breeding Trials

o Initial Trialso Advanced Trialso Late Sown Trials

• Plant Protection Trialso Entomology Trialso Pathology Trials

• Plant Production Trialso Agronomy Trialso Plant Physiology Trials

• Other Trials Thebreedingtrialsareexpectedtobecreatedfirstastheothertrialssuchasplantprotectiontrialsmayinclude

same lines as treatments. The following tasks are to be performed by the experiment incharges of breeding trials:

Tasks• Fill in general information of the experiment (Experiment Type, Season, Other experiment incharges who

are allowed to modify), objectives.


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• Select the observations to be collected along with due dates (Optional).• Select locations where the experiments will be conducted and select the concerned experimenters from

the locations.• Select pick lines from the database. Choose the lines to be included from the list available and choose

check lines.• Select statistical design to be adopted. Two options are available, Randomized Complete Block (RCB)

designs and Alpha Designs. If alpha design(s) is(are) available for the selected number of treatments (lines + checks), choose one from available designs based on number of replications and block size required. For RCB design, enter number of replications.

This completes the step of creating breeding experiments. A unique experiment ID is created for the each experiment. In case of any changes, one can modify the information. A Screen shot is

Late Sown Trials Late sown trials are those trials in which the same lines are included but sown late in the season. Since all the

information are already available, experimenter incharge is required to specify locations where these trials are to be conducted. A new experiment ID is created for each late sown trials.

Plant Protection Trials Using this option, one can create an experiment based on the Breeding trials. The experiment incharge of

Entomology/Plant Pathology shall choose the breeding trials to use, additional checks to include, locations where the Trials will be conducted and observations to be collected. The statistical design which can be used in these trials is restricted to RCB design.

Plant Production/Any other Trials Using this option, experiment incharges of Agronomy and other disciplines can create experiments. The

differences between this and breeding trials are use of two factors with different levels as treatments, wide variety of statistical designs to choose from (CRD, RCBD, Factorial CRD, Factorial RCBD and Split Plot). The same option can also be used for creating any other type of trials.

Experiment Creation

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The information entered during the experiment creation tasks are saved in the database. This information for a particular experiment is accessible only to those who are designated as Experiment Incharge for that experiment.

Creation of Randomized Layouts After all experiments are created, the next step is to create randomized layouts. This step is to be performed by

the experiment incharge for each experiment separately. During this process, the experiment incharge should decide on use of random coding of genotype lines in breeding trials. It is possible to code genotype lines differently in each replications or use the same random code in all replications. The starting number should also bespecifiedbytheexperimentincharge.Incaseofdifferentrandomcodingineachreplication,thesystemwillautomatically start codes after 50. For example, if there are 25 treatments in a trial and the experiment incharge choose 1000 to be starting number for the random coding and there are 3 replications, the treatments will be coded from 1001 to 1025 for replication 1; 1051 to 1075 for replication 2 and 1100 to 1125 for replication 3. In case, there are more than 50 treatments in a trial, continuous coding will be used.

Most of the time in breeding experiments, local checks are also included as one of the checks. In such cases, thelocalcheckswillbeassignedthelastrandomcodeineachreplicationforeasyidentification.

In Plant Protection trials, the random coding used in breeding trials will be used. The checks in the plant protection trials are not coded.

In Late Sown trials, the random coding created in the corresponding trial will be used.

This step creates the randomized layouts for each location in the experiment. After this step, no changes in the treatments/locations are allowed in the experiment.

View/Print Experiment Layouts After randomization step, one can view the randomized layouts and other details. The detailed information (in

PDF form) includes title, experiment type, locations, incharges, treatment coding and layouts of each location. Only concerned experiment incharge is allowed to view the keys to the random coding. Others are not allowed to view this information. For those who are from cooperating centre and are designated as location incharge, can view the randomized layouts of their centre only.

Data Sheet Download and Upload Module All the cooperating centre users who have been designated as experimenters can download the datasheets for

each of their experiments. The datasheet downloaded will be in Microsoft®Excel®format.Theexcelfilewillinclude all the relevant details as per the layout (i.e. treatments will appear as per the layout). After entering theinformationforeachplotonalltheobservedcharacters,thesameexcelfilecanbeuploadedtothesystem.Whileuploading,theuserswillbeaskedtoenteradditionalinformationsuchasdateofsowing,flowering,etc.whicharegeneralinformation.TheuploadingprocesswillbesimilartoattachingfileswhilesendingtheE-mail.Afterthefileisuploaded,thesystemwillcheckthefileandifthereareanyerrors(suchaswrongdatasheet is being uploaded for an experiment, treatment details are not matching etc.), users will be prompted forresending.Iftherearenoerrors,thefilewillbeuploadedtothedatabase.Oncedatasheetisuploaded,itisnot possible to resubmit the data without the approval of experiment incharge.

Layout of a Trial


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Prototype has been submitted for joint copyright of NAARM, Hyderabad; IASRI, New Delhi and DSR, Hyderabad (diary number 45964/2014-CO/L dated April 02, 2014.

Capacity Building Capacitybuildingeffortshavebeenmadethroughtrainingprogrammesincludingsubjectspecificones,

e-manuals, and case studies at sub-project website www.iasri.res.in/sscnars for rejuvenating statistical thinking and use of appropriate advanced statistical techniques in agricultural research and teaching. The details are given in the sequel.

Training Programmes for Trainers: 11 Training Programmes 209 trainers have been trained on SAS: A Comprehensive Overview (30 working days at each of the

08 Statistical Computing Hubs and 32 working days in two spells at lead centre); SAS Genetics/JMP Genomics (05 working days at lead centre) and on Data Analysis Using SAS (06 working days at Lead Centre) for providing an orientation of applications of Statistical packages towards agricultural sciences to the Partners’. These 209 trainers trained were from 85 NARS organizations. List of participants is available at http://www.iasri.res.in/sscnars/Trainers.aspx. The distribution of participants trained at various statistical computing hubs is depicted as below:

Data Scrutiny and Analysis Module The data uploaded by individual centres can be monitored by the concerned experiment incharge. In case

ofwrongdataentriesorimportantcharacterstobeobservedareblankintheuploadedfile,theexperimentincharge can reject the data uploaded and ask for correction and fresh upload. In the analysis module, the experiment In charge can opt for individual character/location/zone or multiple characters/locations/zones etc. If any characteristics measured are on plot-wise (for example, grain yield), these would be changed to standard unit area such as per hectare. The analyzed report would include actual lines used in the experiment, location-wise analysis and zone wise analysis.

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At lead centre, the distribution of 41 distinct trainers trained is given as below:

Training Programme I, II and III I & II II & III I III IV

Number of Distinct Participants 8 16 2 2 10 3

Here I: SAS: A Comprehensive Overview (Phase I); II: SAS: A Comprehensive Overview(Phase II); III: SAS Genetics/JMP Genomics and IV: Data Analysis Using SAS

Training Programmes for Researchers: (2166 Researchers + 246 research scholars/RA/SRFs) by Statistical Computing Hubs and 164 byNodalOfficers2166 research personnel have been trained on Data Analysis Using SAS through 104 training programmes

of one week duration each (details available at http://www.iasri.res.in/sscnars/Researchers_TP.aspx) including

• Thirty seven of these 104 training programme were organized at the doorstep of following NARS organizations - Pt. Deen Dayal Upadhayaya Veterinary University and Gau Anusandhan Sansthan, Mathura; NDUAT,

Faizabad; RVSKVV, Gwalior; SKRAU, Bikaner; IISS Bhopal;- CIRB, Hisar; PAU, Ludhiana; SKUAST, Jammu;- GBPUA&T, Pantnagar; CIRG, Makhdoom; CSUAT, Kanpur; VPKAS, Almora; CSWCRTI, Dehradun;- BAU, Ranchi; JNKVV, Jabalpur; CIFRI, Barrackpore; CARI, Port Blair; UBKV, Cooch Behar; OUAT,

Bhubaneswar (02); BCKV, Kalyani; IGKV, Raipur; NIRJAFT, Kolkata; CRIJAF, Barrackpore;- ICAR RC for NEH Region, Manipur Centre, Imphal; CAU, Imphal;- CTCRI, Thiruvananthapuram; CPCRI, Kasargod; KVAFSU, Bidar; PDADMAS, Bangalore; CIFT, Cochin;- RARS Tirupati; TANUVAS, Chennai; TNAU, Coimbatore; - MPKV, Rahuri; BSKV, Dapoli; AAU, Anand.

• Fifteenof theabove104 trainingprogrammeswereorganizedforspecificgroupof researcherson thefollowing topics - Data Analysis of Agro-forestry Experiments Using SAS


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- Data Analysis of NRM Research Using SAS- Genetics/Genomics Data Analysis Using SAS: 03 times- Data Analysis in Social Sciences Research Using SAS- Data Analysis and Interpretation in FIM Research Using SAS- Data Analysis in Dairy Sciences Research Using SAS- Data Analysis in Veterinary

Sciences Research Using SAS- SAS: Multivariate Data

Reduction and Analysis: 02 times

- Data Mining Using SAS- Sample Survey Data Using SAS- Experimental Data Using SAS- Predictive Models in Agriculture and Aquaculture Research

Training Session in Progress

• The list of 2166 participants (1185 from SAUs and 971 from ICAR Institutes) are given at http://www.iasri.res.in/sscnars/Directory.aspx. The distribution of the participants trained in differentyearsandbydifferentstatisticalcomputinghubsisgiveninfollowingfigure.

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Distribution NARS Organization Type Wise(Institutes: ICAR Institutes & National Bureaus; NRCs: National Research Centres; PDs: Project Directorates; SAUs: State Agricultural Universities, Central Agricultural Universities and Agricultural Colleges with PG Education)

Designation wise distribution(S: Scientist, SS: Senior Scientists and PS: Principal Scientist)

Year wise distribution Statistical Computing Hub wise distribution

• The distribution of participants according to type of Institution and Designation are given in the following figure.


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• The NARS organization type wise and designation wise distribution is given in the Table 2.Table 2: Distribution of Participants Designation and NARS Organization Type Wise

Designation

NARS Organization Type

TOTALInstitutes/ NBs PDs NRCs SAUs/CAU

Principal Scientist/Professor

97 22 5 97 221

Senior Scientist/Associate Professor

280 69 18 329 696

Scientist / Assistant Professor

281 56 22 697 1056

TechnicalOfficer 120 8 3 62 193

TOTAL 778 155 48 1185 2166

*Institutes: ICAR Institutes & National Bureaus; NRCs: National Research Centres; PDs: Project Directorates; SAUs: State Agricultural Universities, Central Agricultural Universities and Agricultural Colleges with PG Education

• The designation and gender wise distribution of the participants is given in Table 3.Table 3: Distribution of Participants Designation and Gender Wise

DesignationGender

Female Male TotalPrincipal Scientist/Professor 27 194 221Senior Scientist/Associate Professor 101 595 696Scientist / Assistant Professor 203 853 1056TechnicalOfficer 29 164 193Total 360 1806 2166

246 (156 research scholars and 90 RA/SRFs) have also been trained. The details are given at http://www.iasri.res.in/sscnars/rasrfjrf.aspx.

164researchershavebeentrainedbynodalofficersatTamilNaduAgriculturalUniversity,Coimbatore(90 through 3 training programmes of one week duration each) and NRCAF, Jhansi; IGFRI, Jhansi (20 through 5 days training programme); IGKV, Raipur (40 through 2 training programmes of 5 days duration each) Junagarh Agricultural University, Junagarh (14 through 3 days training programme)

The training programmes were designed to acquaint the participants with the capabilities of SAS and JMP Statistical Discovery Softwares along with hands on experience training. The emphasis was laid on statistical concepts, use of appropriate statistical techniques for data analysis, interpretation of results presentation and interpretation of results. It has been told that the statistical packages are only helpful in avoiding the drudgery of computation and are not a replacement of a trained statistician. If a trained statistician is not consulted for generation, analysis and interpretation of data for answering the research question, then the blind use of statistical packages may end with disaster. During the capacity building of resource scientists, they were sensitized on how to use statistics in their research work and team up with a statistician preferably in their institutes and at IASRI, New Delhi.

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Website of the Sub-Project

Website of the sub-project was developed and hosted at www.iasri.res.in/sscnars. The website contains information about the sub-project, project team, nodal officers.Prominent linkson thewebsiteare the 08 Reference Manuals and Case Studies, 07 Macros for customized analysis, Important Links (specially link on Webcasts and Webinars), FAQs, Feedback and IP Authenticated Services. A screen shot of the website is shown below.

First Page of the website

The website was registered under google analytics on November 15, 2010. Till March 31, 2014, there were 43,239 page views across 529 cities of 82 countries. Average time on page is 3.03 minutes.

Sensitization of Researchers- E-mails regarding availability of high-end statistical computing environment and Indian NARS Statistical

Computing Portal have been sent to more than 3500 researchers.- NodalOfficershavebeen requested toconducthalfadayseminar in their respectiveorganizationson

Statistical Computing facilities available and Indian NARS Statistical Computing Portal. They have also been requested to provide link of consortium website on their respective LAN. Link has been provided at ICAR Website.

- 559 participants were sensitized through 21 sensitization training programme-cum-workshops as per details given in Table 4.


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Table 4: Sensitization Programmes Organized

IASRI, New Delhi

1 Data Analysis Using SAS July 25-26, 2012 for training programme on Field Survey, Data Acquisition and Analysis of NCAP, New Delhi

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2 Data Analysis Using SAS November 22-24, 2012 at NBAIM, Mau 14

3. Data Analysis Using SAS March 13-14, 2013 at Sardar Vallabhbhai Patel University of Agricultural and Technology, Meerut

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4. Data Analysis Using SAS March 28, 2013 at IISR, Lucknow 20

5. Data Analysis Using SAS June 01, 2013 at NCIPM, New Delhi 20

6. Data Analysis Using SAS November 13, 2013 at Project Directorate on Cattle, Meerut 18

7. Data Analysis Using SAS December 20, 2013 at IIVR, Varanasi 18

NDRI, Karnal

8. JMP Genomics: An Overview January 16, 2014 14

9. Statistical Computing with SAS in Agriculture

February 05-07, 2014 at DWR, Karnal 27

10. Statistical Computing Using SAS in Agriculture

March 05-07, 2014 at Dr. YSP University of Horticulture and Forestry, Nauni

30

MPUAT, Udaipur

11. Statistical Computing March 18-19, 2013 12

12. Statistical Computing in NARS March 20-21, 2013 10

13. Statistical Computing with SAS in Agriculture

February 14, 2014 46

DWM, Bhubaneswar

14. Data Analysis Using SAS June 27-29, 2012 at ICAR RCER, Patna 25

ICAR RC NEHR, Barapani

15. Data Analysis Using SAS February 03-04, 2013 at ICAR RC NEHR Regional Station, Gangtok Sikkim

32

16. Data Analysis Using SAS AAU, Khanpara 50

NAARM, Hyderabad

17. Data Analysis Using SAS February 28-March 02, 2013 at College of Agricultural, Bapatla, ANGRAU

40

18. Data Analysis Using SAS March 11-13, 2013 at TANUVAS, Chennai 25

CIFE, Mumbai

19. SAS for Research Data Analysis January 11-13, 2013 for Research Scholars of CIFE Mumbai and Scientists

20

20. SAS for Research Data Analysis February 01-02, 2013 at DOGR, Rajguru Nagar, Pune 24

21. Data Analysis Using SAS September 30-October 01, 2013 30

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Some Special Sessions/Seminars Organized- Four special sessions were organized at Directorate of Sorghum Research, Hyderabad; Directorate

of Oilseeds Research, Hyderabad; Central Marine Fisheries Research Institute, Kochi and CCS HAU, Hisar to sensitize the researchers about the capabilities of the environment.

SensitizationProgrammesConductedbyNodalOfficers• NodalOfficerfromNBPGR,NewDelhiconductedatrainingprogrammeonApplicationofJMP

Genomics (SAS) for the scientists of Division of Genetic Resources (erstwhile NRC on DNA Fingerprinting, NBPGR) on February 27-28, 2013.

• NodalOfficerfromCRRI,CuttackconductedatrainingprogrammeonStatisticalAnalysisUsingSAS Software for 28 scientists from CRRI and SMS of KVK under CRRI during October 03-05, 2013.

• NCAP, New Delhi organized two days training programme on Price Forecasting Using SAS Software during January 03-04, 2014 under the aegis Network Project on Market Intelligence.

• Center for Environment Science and Climate Resilient Agriculture, IARI, New Delhi organized a Workshop on Statistics during February 07-10, 2014 in which one day was devoted on Data Analysis Using SAS and Indian NARS Statistical Computing Portal.

- It has been included in the FOCARS training programmes conducted by NAARM, Hyderabad and 799 scientists have been sensitized about the capabilities of the software and data analysis using SAS. Also, 211 scientists were sensitized through Refresher Courses conducted at NAARM, Hyderabad about data analysis using SAS. The details are as given in Tables 5 & 6.

Table 5: Details of FOCARS Training Programmes

S.No. ARS Foundation

Course Batch

Dates No. of Days

Number of Participants

Responsible Partner

1 90th 20 April to 17 August 2010 02 44 NAARM, Hyderbad

2 91st 11 May to 7 September 2010 02 38

3 92nd 01 September to 29 December 2010 02 76

4 93rd 27 April to 24 August 2011 02 100

5 94th 15 September to 13 December 2011 02 136

6 95th 23 January to 21 April 2012 02 20

7 96th July-October 2012 02 33

8 97th 01 January-01 April 2013 02 124

9 98th 01 July–30 September 2013 02 23

10 99th 01 January-01 April 2013 02 205

Total Number of Participants 799


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Table 6: Refresher Course on Agricultural Research Management for Senior / Principal Scientists

S.No. Duration No. of days No. of Participants Responsible Partner

1 November 03-23, 2011 02 28 NAARM, Hyderbad 2 January 19-February 08, 2012 01 30

3 June 05-18, 2012 01 324 January 07-19, 2013 01 315 July 15-27, 2013 01 456 Febrauary 03-15, 2014 01 45Total Number of Participants 211

- To sensitize the researchers about the availability of this high end statistical package, 50 presentations were made in different NARS Organizations during the training programmes/ Conferences /Workshops organized. The details are given under item 15.

Usage and Impact The capacity building efforts have paved the way for publishing research paper in the high impact factor

journals. • Based on feedback received from NARS organizations, 173 research reports, 260 research papers have

been published/ accepted for publication (in journals like Animal Food Science and Technology, Field Crops Research, Journal of Food Engineering, Euphytica, Journal of Applied Polymer Science, etc.) by analysing the data using high end statistical computing facility; more than 300 students have used this in their dissertations; 1700 students have used in their course work. The number of data sets analyzed is more than 6000 across NARS.

• Nodal officer fromCMFRI,Kochi has reported savingof20 man months in compilation of data related to Marine Fish Household Census 2010 consisting of 10 lakh households with 16 attributes based on the experience of similar exercise in 2005 by the same team.

• Installation at 151 NARS organizations on more than 2750 Computers (average more than 18 machines per NARS Organization).

• Website of the project is being maintained and updated regularly. Website is registered under google analytics on November 15, 2010. Till March 31, 2014 there were 43,239 page views across 529 cities of 82 countries. Average time on a page is 3.03 minutes.

• The e-manual developed has been cited in Journal of Doctoral Research in Economics of the Bucharest Academy of Economic Studies. The macro developed for augmented designs has been cited by Jennifer Kling, Oregon State University in Introduction to Augmented Designs and Ir. Suprayogi from Laboratory of Plant Breeding and Biotechnology, Central Java, Indonesia and Ogbonna Alex C. from National Root Crops Research Institute, Umudike, Nigeria.

• Number of hits at Indian NARS Statistical Computing Portal since April 01, 2011: 1,97,816 which amounts to more than 100 hits per day. Based on the user logged information, the total number of logged in users from Indian NARS since March 2012 are 24,926.

• It has been included in the FOCARS training programmes conducted by NAARM, Hyderabad and 799 scientists have been sensitized about the capabilities of the software and data analysis using SAS. Also 211 scientists were sensitized through Refresher Courses conducted at NAARM, Hyderabad about data analysis using SAS.

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• CIFE, Mumbai and IASRI, New Delhi reported good Placements for students in MNCs and Doctoral Program overseas.

• Notional Savings: As some of the NARS organizations were paying more than Rs. 4.0 lakh per annum for less number of modules than currently available. Therefore, taking annual cost as Rs. 4.0 lakh per annum for three years and at least use for 5 years beyond the period of three years at Rs. 1.3 lakh per annum compounded to 6% increase every year, total notional savings are 23.26 crores. The computations are given as in Table 7.

Table 7: Notional Savings

Educational Analytics Suite

Average Buying Price Per Unit

Yearly Buying Price 3 years total (Renewal Based)

151 Institutes 4.0 lakhs (CIFE, UAS Dharwad)

6.04 crores 18.12 crores

Enterprise Miner Buying Price Per Unit


15 Institutes 0.80 lakhs (DOR) 0.12 crores 0.36 crores Enterprise Business Intelligence Server

Buying Price Per Unit


1 Institute 30 lakhs 0.30 crores 0.90 crores Notional Price For 03 years only 19.38 crores *Purchase Price Perpetual license 7.18 crores TotalBenefitfor3years

For 03 years only 12.20 crores

Perpetual license (minimum 05 years post 3 years)

Rs. 1.3 lakh per annum compounded to 6% increase every year

11.06 crores

Total Savings 23.26 crores

• More than 100 NARS organizations have analyzed more than 5 data sets. Therefore, if we take only 100 organizations for 3 years at Rs. 4.0 lakh per annum, then an amount of Rs. 12.00 crores would have been required against the present investment of Rs. 7.18 crores for all 151 NARS organizations. Further, it is available as perpetual license and can be used till hardware and operating environment would support.

• The users have opined that the interventions have been helpful in drawing statistically valid conclusions, useofcomplexstatisticaltechniquesandsaveontimeandresources.Somespecificcomments/feedbackfrom research managers and users are given at the link “Reviews and Comments” on the Consortium Website www.iasri.res.in/sscnars.

Secretary, DARE and Director General, ICAR, New Delhi: On the Occasion of Nodal OfficersWorkshop(Dated:25.06.2012):“It is a silent revolution in capacity building. This is the only project where no excuses for delay have been made and as a matter of fact the achievements are more than targeted.”


36

6. Innovations(Describe about the innovations and their impacts, one page each, please be clear about innovation concept and describe only innovation(s) in brief)

Innovation in technologies Innovation Descriptioni) Indian NARS Statistical Computing Portal

Indian NARS Statistical Computing Portal has been developed for providing service oriented computing, which is available to users from Indian National Agricultural Research System through IP authentication at http://stat.iasri.res.in/sscnarsportal. It is a paradigm of computing techniques that operate on software-as-a-service. There is no need of installation of statistical package at client side. Following 24 analysis modules of analysis of data are available on this Portal: Completely randomized designs, Block Designs (includes both complete and incomplete block designs), Resolvable Block Designs, Augmented Block Designs, Block Designs conducted over locations/time, Row-Column Designs, Nested Block Designs, Cross Over Designs, Split Plot Designs, Split-Split-Plot Designs, Split Factorial (main A, sub B×C) designs, Split Factorial (main A×B, sub C×D) designs, Strip Plot Designs, Fitting of Response Surfaces, DescriptiveStatistics,UnivariateDistributionFitting,TestofSignificancebased on t-test and Chi-square test, Linear Discriminant Analysis, Principal Component Analysis, Correlation Analysis, Regression Analysis and Estimation of Heritability from half sib data, Estimation of Genetic Variance-Covariance matrix.

Theabovemodulescanbeusedbyuploading*.xlsx,*.csvand*.txtfilesandresults can be saved as *.rtf or *.pdf files.The Portal is dynamic in natureand new additions/ updates are being made from time to time, to strengthen it further. The portal is extensively being used throughout NARS. This has helpedtheresearchersinanalyzingtheirdatainanefficientmanner.

ii) Prototype for creation of research data repository and standardization of analysis of data

Prototype for creation of research data repository and standardization of analysis of data for All-India Coordinated Sorghum Improvement Project. This prototype would − facilitateplanningofexperiments,generaterandomizedlayouts/datafile

preparation, maintain information about the experiments at a centralized place, allow enter/upload experimental data during the course of experiment (or at the end), ability to carry out appropriate statistical analysis and automate uniform reporting process, provide secured access to data for authorized users and different access rights at different levels of users, ability to store the data and results in personal/project folder by the users and be linked to Indian NARS Statistical Computing Portal for online design generation and online analysis of experimental data.

iii) Use of Social Networking Tools (Google hangouts) for efficientutilizationofresourcesand imparting training at different centres at same time

ForefficientandeffectiveuseofInternetTechnologiesfordeliveringlecturesto save on funds and resources, several Webinar sessions were organized in collaboration with CRIDA, Hyderabad where the licenses for Webinar sessions have been procured. Webinar sessions were also organized through the use Social Networking Tools (Google Hangouts).

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7. Process/ Product/Technology Developed

S. No. (Process/Product/Technology Developed) Adoption/ Validation/ Commercialization, etc.

Responsible Partner

1. Developed and established Indian NARS Statistical Computing Portal for providing service oriented computing, which is available to users from Indian National Agricultural Research System through IP authentication at http://stat.iasri.res.in/sscnarsportal. Twenty four different statistical analysis modules are available on this portal.

The total hits to the portal are: 1,97,816 since April 01, 2011 which amounts to more than 100 hits per day. Based on the user logged information, the total number of logged in users from Indian NARS since March 2012 are 24,926.

IASRI, New Delhi and NAARM, Hyderabad

2. Developed 07 macros for customized analysis of data- Augmented Block Designs http://www.iasri.res.in/sscnars/augblkdsgn.aspx- Econometric Analysis (diversity indices, instability

index, compound growth rate, Garret scoring technique and Demand analysis using LA-AIDS model)

http://www.iasri.res.in/sscnars/ecoanlysis.aspx- Split-Split plot designshttp://www.iasri.res.in/sscnars/spltpltdsgn.aspx- Split Factorial (Main A , Sub B×C) designs http://www.iasri.res.in/sscnars/spltfctdsgn.aspx- Strip Plot Designshttp://www.iasri.res.in/sscnars/StripPlot.aspx - Split Factorial (main A×B, sub C×D) designs http://www.iasri.res.in/sscnars/spltfactm2s2.aspx - Estimation of heritability along with its standard error

from half sib data http://www.iasri.res.in/sscnars/heritability.aspx All these macros have been made available on the

project website.

Useful for all researchers and being extensively used by other research organizations including from Africa as evidenced from email correspondence with the authors of the macro


3. Prototype for creation of research data repository and standardization of analysis of data for All-India Coordinated Sorghum Improvement Project and made available at www.aicsip.naarm.org.in

Being used for Kharif and Rabi trials of AICSIP during 2013-14

NAARM, Hyderabad and IASRI, New Delhi


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8. Patents (Filed/Granted):

S. No. Title of Patent Inventor(s) (Name & Address)

Filed/Published/ Granted (No./Date)

Responsible Partner

1. Indian NARS Statistical Computing Portal (Bulletin & Manual)

Rajender Parsad A. Dhandapani & Team

L-55719/201325/10/2013


2. Indian NARS Statistical Computing Portal (Software)

Rajender Parsad A. Dhandapani & Team

SW-7397/201325/10/2013


3. AICSIP Information System A. Dhandapani, Rajender ParsadJV Patil and Sujay Rakshit

45964/2014-CO/L 02/04/2014


9. Linkages and Collaborations

S. No. Linkages developed(Name & Address of Organization)

Date/Period From-To

Responsible Partner

1. Implementedin3-tierstructurewithfirsttierasleadcentre,08NARS organizations as Statistical Computing Hubs at second tier and third tier as 142 other NARS organizations as nodes. As a consequence linkages were established with 151 NARS Organizations (http://www.iasri.res.in/sscnars/Nodal_Officers.aspx):− Signed MOU with each NARS organizations for the enhanced

usage of the environment created which has resulted into effective collaboration between all NARS organizations;

− Software procured is installed at 151 NARS organizations on more than 2750 Computers (average more than 18 machines per NARS Organization)

June, 2010 - till date. Expected to continue till hardware and operating system would support the use of statistical package

IASRI, New Delhi; NDRI, Karnal; IVRI, Izatnagar; MPUA&T, Udaipur; DWM, Bhubaneswar; ICAR RC NEHR, Barapani; UAS, Bengaluru; NAARM, Hyderabad and CIFE, Mumbai

2. All India Sorghum Improvement Project, Directorate of Sorghum Research, Hyderabad− Prototype for creation of research data repository and

standardization of analysis of data for All-India Coordinated Sorghum Improvement Project and made available at www.aicsip.naarm.org.in

April 2012 - till date


3. Knowledge gained was shared with other government agencies such as National Dairy Development Board, Anand and National Academy of Statistical Administration (NASA), Central Statistical Organization, Govt. of India through consultancy and training programmes

In the form of training programmes


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10. Status on Environmental and Social Safeguard Framework: Not Applicable

11. Constraints, if any and Remedial Measures Taken

Problems SuggestionsNodal officers particularly from large NARSorganizationsexpresseddifficultiesinInstallationof software on all Machines or updating the license files.

•Suggested to make it accessible through Server-Client Architect in LAN of the organization and client depot was prepared and made available to all researchers;

•Alternatively make it accessible through Citrix environment where computers on LAN can be used as terminals. This, however, required procurement of Enterprise license for Citrix and require additional funds for the purpose;

•LicensefileshavebeenuploadedonResourcepageofthe Portal which is accessible from IP Authenticated machinesandusercanupdatethelicensefiles.

Demand from NARS organizations to conduct training programmes at their door steps.

•37 training programmes and 16 sensitization programmes were organized at the doorstep of the users;

•Social Networking Tools (Google hangouts) have been usedforefficientutilizationofresourcesandimpartingtraining at different centres at same time. Webinars through Google Hangouts have a limitation that only one screen can be shared at a time and around 9 people can joinatatime.Itposesdifficultiesinlivedemosessionsand reaching to large number of participants. Therefore, it is suggested that licenses for full Webinar sessions may be procured that may facilitate joining of many participants at a time and have the facility of desktop by the instructor. It is suggested that Webinar license may be procured.

At present Server capacity is not sufficient tocater to the needs of increasing user base of Indian NARS Statistical Computing Portal. Non-accessibility of the Portal from several regional centres due to non-availability of static public IP address.

•The server is being maintained to meet the requirements of researchers across NARS;

•Advised all NARS organizations including regional centres to have static IP Addresses that would ensure the usage across NARS;

•NodalofficersfromNARSorganizationsinthenearbyplaces were requested to install software at the regional centres;

•High-end scalable dedicated servers for Indian NARS statistical computing portal along with high bandwidth capacity may be helpful in resolving the problem and for further strengthening the Portal and capacity building, enahacing statistical computing in NARES may be continued as a network project with appropriate provision of funds.


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In the beginning, the problem was faced in the procurement of the software due to non-availability of software procurement documents. The concerned authorities were ignorant about the differences between goods and software procurement. The major difference are as follows:“Software is unique and different from “goods or equipment” in many aspects. The differences are software license (right to use and access and not transferred), usage of software, warranty as per the standard industry practices, intellectual property rights, piracy, reverse engineering, source code, maintenance service such as updates - upgrades, number of installations and territory of usage, also the type of usage of the software after installation, etc. Factors such as type of software license, the type of maintenance services, type of usage of the software after installation, copies and disaster recovery type & usage also decide the price of the software.”

•ThishasbeenexplainedtoWorldBankofficials in themeeting held on March 03, 2010. They have agreed to add a new Clause GCC 38 for this purpose. It has resolved the issue. The document prepared has been helpful in procurement of software in other NAIP Consortia.

Non-availability of high-end statistical package at New SAUs and ICAR Institutes

•Several new SAUs (to name a few Kerala Veterinary and Animal Sciences University, Thiruvananthapuram; Tamil Nadu Horticultural University, Coimbatore; Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar) have been established. Further, there are Agricultural Colleges funded by State Governments affiliated to SAUs in other states/NGOs/ AgriculturalFaculty in other universities (College of Agriculture, PuducherryaffiliatedtoTNAU,Coimbatoreandfundedby Puducherry Government; Sam Higginbottom Institute of Agriculture Technology and Sciences Allahabad, Allahabad; School of Agricultural Sciences and Rural Development, Medziphema Campus, Medziphema under Nagaland University; Institute of Agriculture, Palli Shiksha Bhavan, Visva-Bharati University, Shantiniketan). These organizations were not provided license in the first phase. Requests are being receivedfrom these organizations for providing software licenses. Therefore, it was proposed to procure some licenses for new SAUs and Agricultural Colleges funded by State Governments affiliated toSAUs inother states/NGOs/Agricultural Faculty in other universities, etc. under same terms and conditions of procurement of 2010. This proposal, however, was not approved by Cost Committee of NAIP-PIU.

• It is suggested that these organizations may procure the software from their own funds under same terms and conditions of procurement of 2010.

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12. PublicationsA. Research papers in peer reviewed journals

Based on the feedback received from NARS organizations, 173 research reports, 260 research papers have been published/ accepted for publication (in journals like Animal Food Science and Technology, Field Crops Research, Journal of Food Engineering, Euphytica, Journal of Applied Polymer Science, etc.) by analysing the data using high end statistical computing facility; 300 students have used this in their dissertations; more than 1700 students have used in their course work. Some of these papers in NAAS Score 6 or more than 6 are given below [the papers in which CPI, CCPI or Co-PI are Authors are marked with aestrik (*)]:

IARI, New Delhi1. *Singh Anupma, Sarkar Dhurba Jyoti, Parmar Balraj S., Singh A.K., Parsad Rajender and Kumar Anil

(2011). Studies on novel nanosuper absorbent components: Swelling behaviour in different environments and effect on water absorption and retention properties of sandy loam soil and soil less medium. Journal of Applied Polymer Science, 120, 1448-1458. J054(2013):7.5

2. Behera T.K., Jack E. Staub, Behera Snigdha and Shanna Mason (2010). Response to phenotypic and marker-assisted selection for yield and quality component traits in cucumber (Cucumis sativus L.). Euphytica, 171, 417–425. E081(2013): 7.6

3. Behera T.K, Jack E. Staub, Behera Snigdha, Delannay Isabelle and Chen Jin (2011). Marker-assisted backcross selectioninaninterspecificCucumispopulationbroadensthegeneticbaseofcucumber(Cucumis sativus L.). Euphytica, 178, 261–272. E081(2013): 7.6

4. *Marathi Balram, Guleria Smriti, Mohapatra Trilochan, Parsad Rajender, Nagarajan M., Vinod K.K., Atwal Salwinder S., Prabhu Vinod K., Singh, Nagender K. and Singh Ashok K. (2012). QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.). BMC Plant Biology, doi:10.1186/1471-2229-12-137. http://www.biomedcentral.com/1471-2229/12/137. B012(2013): 7.9.

5. *Kumar Jitendra, Nisar Keyath, Shakil N.A., Walia Suresh and Parsad Rajender (2010). Controlled release formulations of metribuzin: Release kinetics in water and soil. J. Env. Sci. Health, Part B: Pesticides, Food Contaminants, and Agricultural Wastes, 45(4), 330-335.J146(2013): 7.3

NDRI, Karnal6. *Banu Rashia, Singh Avtar, Malhotra R., Gowane G., Kumar V., Jaggi Seema, Varghese E., Gandhi R.S.,

Chakravarty A K., Raja T.V. (2012). Comparison of different lactation curve models in Karan Fries cattle of India. Indian Journal of Animal Sciences, 82(11), 1377-1380. I032(2013): 6.6

CIFE, Mumbai7. *Gopikrishna G., Gopal C., Krishna G., Jahageerdar Shrinivas, Rye M., Lozano C., Gitterle T., Venugopal

G., Paulpandi S., Ravichandran P., Pillai S.M., Ponniah A.G. and Hayes B. (2011). Effect of stocking density, water exchange rate and tank substrate on growth and survival of post-larvae of Penaeus monodon (Fabricius, 1798). Indian Journal of Fisheries, 58(3), 57-61. I050(2013): 6.2

8. *Hayes B.J., Gitterle T., Gopikrishna G., Gopal C., Krishna G., Jahageerdar Shrinivas, Lozano C., Alavandi S., Paulpandi S., Ravichandran P. and Rye M. (2010). Limited evidence for genetic variation for resistance to the white spot syndrome virus in Indian populations of Penaeus monodon. Aquaculture Research, 41, 872–877. A185(2013): 7.5


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9. *Krishna G., Gopikrishna G., Gopal C., Jahageerdar Shrinivas, Ravichandran P., Kannappan S., Pillai S.M., Paulpandi S., Kiran R.P., Saraswati R., Venugopal G., Kumar Dilip, Gitterle T., Lozano C., Rye M. and Hayes B. (2011). Genetic parameters for growth and survival in Penaeus monodon cultured in India. Aquaculture, 74-78. A182(2013): 7.7

10. Sajina A.M., Chakraborty S.K., Jaiswar A.K., Pazhayamadam D.G., Sudheesan D. (2010). Stock structure analysis of Megalaspis cordyla (Linnaeus, 1758) along the Indian coast based on truss network analysis. Fisheries Research, 108(1), 100–105. F016: 7.6

11. *Sen S., Jahageerdar Shrinivas, Jaiswar A.K., Chakraborty S.K., Sajina A.M. and Dash G.R. (2011). Stock structure analysis of Decapterus russelli (Ruppell, 1830) from east and west coast of India using truss network analysis. Fisheries Research, 112, 38-43. F017(2013):7.6

12. *Shetty C.P., Jahageerdar Shrinivas, Rajendran K.V. and Sahu N.P. (2011). Hyperplastic development and hypertrophic growth of muscle fasciculi in Macrobrachium rosenbergii (De Man 1879). Indian Journal of Fisheries, 58(3), 63-68. I050(2013): 6.2

13. *Sukumaran K., Pal A.K., Sahu N.P., Jahageerdar Shrinivas, Khambadakone D. and Debnath D. (2011). InfluenceofdietaryphosphorusonmineralizationandmorphologyofIndianmajorcarp,catla(Catlacatla)fingerlings.Aquaculture International, 19,749-763. A183(2013):7.4

14. Kumar Satish T., Krishnan P., Makesh M., Chaudhari A., Purushothaman C.S. and Rajendran K.V. (2011). Natural host-range and experimental transmission of Laem-Singh Virus (LSNV). Diseases of Aquatic Organisms, 96(29), 21-27.D017(2013): 7.7

CRRI, Cuttack15. Kumar Anjani, Nayak A.K., Shukla Arvind K., Panda B.B., Raja R., Shahid Mohammad, Tripathi Rahul,

Mohanty Sangita and Rath P.C. (2012). Microbial Biomass and Carbon Mineralization in Agricultural Soils as Affected by Pesticide Addition. Bull Environ Contam Toxicol, 88, 538–542. B144(2013): 7.5

16. Mohanty Sangita, Nayak A.K., Kumar Anjani, Tripathi Rahul, Shahid Mohammad, Bhattacharyya P., Raja R. and Panda B.B. (2013). Carbon and nitrogen mineralization kinetics in soil of riceerice system under long term application of chemical fertilizers and farmyard manure. European Journal of Soil Biology, 58, 113-121. E100(2013): 7.6

17. Nayak A.K., Gangwar B., Shukl, Arvind K., Mazumdar Sonali P., Kumar Anjani, Raja R., Kumar Anil, Kumar Vinod, Rai P.K. an Mohan Udit (2012). Long-term effect of different integrated nutrient management on soil organic carbon and its fractions and sustainability of rice–wheat system in Indo Gangetic Plains of India. Field Crops Research, 127, 129–139. F010(2013): 7.7

IGFRI, Jhansi18. Rai Arvind K., Tripathi S.B., Tripathi S.N., Dixit A.K., Rai S.K., Singh D.K. and Richhariya S.C. (2010).

Effect of organic and inorganic sources of nutrients on performance of guinea grass (Panicum maximum jacq.) based cropping system and soil properties. Range mgmt. & Agroforestry symposium issue, B, 252-253. R007(2013): 6.6

19. Sharma P., Pandey Sandhna, Biradar Satyapriya N. and Radotra S. (2010). Livestock ownershio and their performance in arid ecosystem. Range Mgmt. & Agroforestry symposium issue, B, 246-247. R007(2013): 6.6

20. Sharma P., Pandey Sadhna, Biradar Satyapriya N. and Radotra S. (2010). Fodder and animal production technological gap anlaysis of resource poor farmers in Araria district of Bihar. Range Mgmt. & Agroforestry symposium issue, B, 188-189. R007(2013): 6.6

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21. Rai Arvind K, Bhardwaj R, Sureja A.K. and Bhattacharyya D. (2011). Effect of pine needles on inorganic nitrogen pools of soil treated with fertilizers and manure under cabbage crop. Range Magmt, Agroforestry, 32, 118-123. R007(2013): 6.6

IIHR, Bengaluru22. Panneerselvam P, Boya Saritha, Sukhada Mohandas, Kaushal Kishore Upreti, Srinivasan Poovarasan, Vijay

Virupakshayya Sulladmath and Venugopalan, R. (2013). Effect of mycorrhiza-associated bacteria on enhancing Colonization and sporulation of Glomus mosseae and growth Promotion in sapota (Manilkaraachras) (Mill) Forsberg) seedings. Biological Agricultural & Horticulture, 29 (2), 118-131. B067(2013):6.8.

CITH, Srinagar23. Ahmed N., Singh S.R. and Lal S. (2013). Character association and path analysis in brinjal (Solanum

melongena) for yield and yield attributes. Indian Journal of Agricultural Science, 83(1), 93-95.I023(2013): 6.6

24. Lal S., Ahmed N., Singh S.R., Singh D.B., Sharma O.C. and Kumar R. (2013). Variability for health and bioactive compounds in strawberry (Fragaria x ananassa Duch.) cultivars grown under Indian temperate ecosystem. Fruits, 68(5). In Press. F070(2013):7.2

CTCRI, Thiruanthapuram25. Jyothi A.N., Sreekumar J., and Moorthy S.N. (2010). Response surface methodology for the optimization and

characterization of cassava starch-graft-poly(acrylamide). Starch/Stärke, 62, 18-27. S044(2013): 7.526. JyothiA.N,M.S.SajeevandSreekumarJ.(2010).Hydrothermalmodificationsoftropicaltuberstarches1.

Effect of heat-moisture treatment on the physicochemical, rheological and gelatinization characteristics of tuber starches. Starch/Stärke, 62, 28-40. S044(2013): 7.5

27. Jyothi A.N., M.S. Sajeev, Moorthy S.N., Sreekumar J. (2010). Effect of graft-copolymerization with poly(acrylamide) on the thermal and rheological properties of cassava starch. Journal of Applied Polymer Science, 116(1), 337-346; J050: 7.5

28. JyothiA.N.,M.S.Sajeev,andSreekumarJ.(2011).Hydrothermalmodificationsoftropicaltuberstarches- Effect of annealing on the physicochemical, rheological and gelatinization characteristics. Starch/Stärke, 63(9), 536-549. S044(2013): 7.5

29. Jyothi A.N., M.S. Sajeev, Parvathy P.C. and Sreekumar J. (2011). Optimization of Synthesis and Characterization of Cassava Starch-graft-poly(Acrylonitrile) Using Response Surface Methodology. Journal of Applied Polymer Science, 122(3), 1546-1555. J054(2013): 7.5

30. Nair Soumya B., Jyothi A.N., M.S. Sajeev, Misra R.S. (2011). Rheological, Mechanical and Moisture Sorption Characteristics of Cassava Starch-Konjac glucomannan Blend Films. Starch/Stärke, 63(9), 728-739. S044(2013): 7.5

31. Parvathy, P.C. and Jyothi, A.N. (2012). Synthesis, characterization and swelling behaviour of superabsorbent polymers from cassava starch-graft-poly(acrylamide), Starch/Stärke. 64(3), 207-218. S044(2013): 7.5.

32. Parvathy,P.C.andJyothi,A.N.(2012).Watersorptionkineticsofsuperabsorbenthydrogelsofsaponifiedcassava starch-graft-poly(acrylamide). Starch/Stärke 64(10): 803-812. S044(2013): 7.5.

33. Ramesh, V., Venkateswarlu, B., Sharma, K.L. and Wani, S.P. (2012). Soil Carbon Dioxide Emissions from Sorghum-SunflowerRotationinrainfedSemiAridtropicalAlfisols:EffectsofFertilizationrateandLegumeBiomass. Commun Soil Sci Plan.Analysis, 43(14), 1915-1929. C078(2013): 7.0


44

34. Sajeev M.S., Sreekumar J., Vimala B., Moorthy S.N., and Jyothi, A.N. (2012). Textural and Gelatinization Characteristics of White, Cream, and Orange Fleshed Sweet Potato Tubers (Ipomoea Batatas L.), Int. J. Food Prop., 15(4), 912-931. I137(2013):7.1.

35. Suja,G.,Sundaresan,S.,Susan,K.,Sreekumar, J. andMisra,R.S. (2012).Higheryield, profit and soilquality from organic farming of elephant foot yam. Agron. Sustain. Dev. 32:755–764, DOI 10.1007/s13593-011-0058-5. A073(2013):7.9

36. Susan John, K. and Suja, G. (2012). Optimum nutrient rate and nutritional constraints in tuber crops growing in Ultisol of India with special emphasis on tannia. Commun Soil Sci Plan, 43 (22): 2924-2934. C078(2013): 7.0

37. Nair,S.B.andJyothi,A.N.(2013).Cassavastarch-konjacglucomannanbiodegradableblendfilms:Invitrostudy as a matrix for controlled drug delivery. Starch/Stärke: 273-284. S044(2013): 7.5.

CPCRI, Kasargod38. George Jiji and Karun Anitha. Marker assisted detection of seed sex ratio in Palmyrah palm (Borassus

flabellifer.L.).Current science, 100(6), 922-925. C135(2013): 7.439. Periyasamy P., Saritha B., Mohandas S., Kaushal K.U., Seenivasan P., Vijay, V.S. and Venugopalan, R. (2013).

Effect of mycorrhiza-associated bacteria on enhancing colonization and sporulation of Glomus mosseae and growth promotion in sapota (Manilkara achras (Mill) Forsberg) seedlings. Biological Agriculture & Horticulture, 29 (2), 118-131. B067(2013): 6.8

Indian Institute of Spices Research, Calicut40. Sruthi,D.,ZachariahT.John,LeelaN.K.andJayarajanK.(2013).Correlationbetweenchemicalprofiles

of black pepper (Piper nigrum L.) var. Panniyur-1 collected from different locations. Journal of Medicinal Plants Research, 7(31), 2349-2357. J255(2013):6.0

CRIDA, Hyderabad41. Raju B.M.K., Rao K.V., Venkateswarlu B., Rao A.V.M.S., Rao C.A. Rama, Rao V.U.M., Rao B. Bapuji,

KumarN.Ravi,DhakarR.,N.SwapnaandLathaP. (2013).Revisitingclimaticclassification in India:adistrict level analysis. Current Science, 104 (4), 492-495. C135(2013): 7.4

42. Raju B.M.K., Rao K.V., Venkateswarlu B., Rao A.V.M.S., Rao C.A. Rama, Rao V.U.M., Rao M. Srinivasa and Nagasree K. (2013). Change in climate in India during last few decades, Journal of Agro Meteorology. Special Issue-I. 15, 30-36. J023(2013):6.6

43. Grace J. Kusumae, Sharma K.L., Sumachandrika D., Srinivas K., Mandal U.K., Raju B.M.K., Korwar G.R., Venkateswarlu B., Kumar Shalander, Maruthi G.R., Munnalal Sankar, Kumar T. Satish, Reddy K. Sammi and Shinde Reshma (2013). Effect of long-term use of tillage, residues and N levels in sorghum (Sorghum Vulgare (L)) – castor (Ricinus Communis) cropping system under rainfed conditions – crop responses and economic performance – Part I. Experimental Agriculture, 49(3), 395-415. E110(2013):7.5

ICAR RC NEHR, Barapani44. Pandey A., Bisht I.S. and Bhat K.V. (2012). Population structure of rice (Oryza sativa) landraces from high

altitude area of Indian Himalayas. Annals of Applied Biology ISSN 0003-4746, 160, 16-24. A129(2013): 7.745. Kumar Amit, Pandey Avinash and Gowda M.V.C. Evaluation of groundnut genotypes for tolerance to

phosphorus deficiency. Journal of Plant Nutrition Manuscript ID LPLA-2012-0159.R1 (ACCEPTED): J321(2013):7.1.

FINAL REPORT

45

46. Ramya KT., Fiyaz Abdul R., Shanker R. Uma and Ganeshaiah K.N. (2011). Pollinators for a syconium: How do wasps choose among syconia? Current Science, 101(4), 520-527. C135(2013):7.4

47. Moirangthem Sanju Singh, Gogoi Sailen, Fiyaz Abdul R., Ramya KT. and Thangbam Premila Devi (2012) Effect of planting and spacing on growth characteristics of yellow lantern chilli (Capsicum chinense). Indian Journal of Agricultural Sciences, 82(4), 348-33. I023(2013):6.6

48. Sarkar Dibyendu, De Dipak Kumar, Das Ruma and Mandal Biswapati (2014). Removal of organic matter and oxides of iron and manganese from soil influences boron adsorption in soil.Geoderma, 213–216. G022(2013):7.7

CIAE, Bhopal49. Murugkar D.A., Kotwaliwale N., Kumar M. and Gupta C. (2013). Effect of roasting parameters on soy-butter

product quality. International Journal of Food Science and Technology, 48(7), 1359-1365. I139(2013): 7.550. Kumar M., Ahmad T., Rai A. and Sahoo P.M. (2013). Methodology for construction of composite index.

International Journal of Agricultural and Statistical Sciences. In Press. I115(2013): 6.151. Murugkar D.A., Kotwaliwale N., Kumar M. and Gupta C. (2013). Effect of sprouting on rheological properties

of soy-butter. LWT-Food Science and Technology, 54(1), 95-100. F047(2013): 7.8

CIPHET, Ludhiana52. Kadam Dattatreya M., Rai Deepak Raj, Wilson Robin A., Kaur Sumandeep and Kumar Rahul (2011).

Quality of fresh and stored foam mat dried Mandarin powder. International Journal of Food Science and Technology, 46(4), 793-799. I139(2013): 7.5

53. DevatkalS.K.,KadamD.M.,NaikP.K.andSahooJ.(2011).Qualitycharacteristicsofsorghumflourextendedgluten free chicken nuggets. Journal of Food Quality, 34(2); 88–92. J181(2013): 7.0

54. Kadam D.M. and Balasubramanian S. (2011). Foam mat drying of tomato juice. Journal of Food Processing and Preservation, 35(4), 488–495. J179(2013): 6.9

55. Kadam D.M., Nangare D.D., Singh R. and Kumar S. (2011). Low Cost Greenhouse Technology for Drying Onion (Allium cepa L) Slices. Journal of Food Process Engineering, 34(1), 67–82. J178(2013): 7.3

56. Kadam D.M., and Dhingra D. (2011). Mass Transfer Kinetics of Banana Slices During Osmo-convective drying. Journal of Food Process Engineering, 34(2), 511–532. J178(2013): 7.3

57. Kadam D.M., Rai D.R., Patil R.T., Wilson R.A., Kau, S. and Kuma, R. (2011). Quality of fresh and stored foam mat dried Mandarin powder. International Journal of Food Science and Technology, 46(4), 793–799. I139(2013): 7.5

58. Kadam, D.M., Wilson R.A., Kau, S. (2010). Determination of biochemical properties of foam mat dried mango powder. International Journal of Food Science and Technology, 45,1626-1632. I139(2013): 7.5

59. Kadam,D.M.,WilsonR.A.,KaurS. andManisha (2012). Influence ofFoamMatDrying onQuality ofTomato Powder. International Journal of Food Properties, 15(1), 211-220. I137(2013): 7.3

60. Kadam D.M., Patil R.T., Wilson R.A., Rai D.R., Kaur S., Chadha S. and Kau, V. (2012). Physicochemical and Microbial Quality Evaluation of Foam-Mat Dried Pineapple Powder, International Journal of Food Science and Technology, 47(8), 1654-1659. I139(2013): 7.5

61. Kadam D.M., Goyal R.K. and Gupta M.K. (2011). Mathematical modeling of convective drying thin layer drying of Basil leaves. Journal of Medicinal Plant Research, 5(19), 4721-4730. J255(2013): 6.0


46

62. Kadam D.M., Goyal R.K., Singh K K. and Gupt, M.K. (2011). Thin layer convective drying of mint leaves. Journal of Medicinal Plants Research, 5(2), 164–170. J255(2013): 6.0

63. Kadam D.M., Barnwal P., Chadha S. and Singh K.K (2012). Biochemical Properties of Whole and Degermed Maize Flours during Storage. American Journal of Biochemistry, 2(4), doi: 10.5923/j.ajb.20120204.01. J067: 7.7

IASRI, New Delhi64. *Jaggi, Seema, Sarika and Sharma, V.K. (2010). Response surface analysis incorporating neighbour effects

from adjacent units. Ind. J. Agril. Sci., 80(8), 719-723. I023(2013): 6.665. *Singh N. Okendro and Paul A.K. (2010). Fitting of Allometric Model with Expected-Value Parameters for

Different Species of Snow Trout from Jhelum River, Kashmir. Indian Journal of Animal Science, 80, 85-88. I032(2013): 6.6

66. *Yadav D.K., Singh G., Jain A., Paul A.K. and Singh S. (2010). A comparison of nonlinear models for describinggrowthinMuzaffarnagrilambsunderfieldconditions.Indian Journal of Animal Science, 80(6), 581-583. I032(2013): 6.6

67. Paul R.K., Ghosh H. and Prajneshu (2011).Wavelet methodology for estimation of trend in Indian monsoon rainfall time-series data. Ind. J. Agril. Sci., 81(3), 290-92. I023(2013): 6.6

68. GhoshH.andPrajneshu(2011).Statisticallearningtheoryforfittingmultimodaldistributiontorainfalldata:An application. Journal of Applied Statistics. J057(2013): 6.9

69. *Singh N. Okendro, Paul A.K., Gopimohon N. Singh, Singh Pal and Alam W. (2011). Modeling seasonal growthoffishusingmodifiedGompertzmodelwithsinewavefunction. Indian Journal of Animal Science, 81(6). I032(2013): 6.6

70. Tiwari Neeraj and Sud U.C. (2013). Optimal control selection procedure for sample co-ordination problem using multiple objective functions. Communications in Statistics: Theory and Methods. In Press. C080(2013): 6.7

71. *Kumar J., Jaiswal V., Kumar A., Kumar N., Mir R.R., Kumar S., Dhariwal R., Tyagi Khandelwal S.M., Prabhu K.V., Parsad Rajender, Balyan H.S. and Gupta P.K. (2013). Introgression of a major gene for high grain protein content in some Indian bread Wheat Cultivars. Field Crops Research, 123(3), 187-280. F010 (2013): 7.7

72. *Bhar Lal Mohan and Ojha Sankalpa (2012). Outliers in multi-response experiments. Communication in Statistics: Theory & Methods. In Press. C080(2013): 6.7

73. *Mandal B.N., Gupta V.K. and Parsad Rajender (2011). Construction of polygonal designs using linear integer programming. Comm. Statist.-Theory Methods, 40, 1787-1794. C080(2013): 6.7

74. *Singh Surendra, Vasisht A.K., Paul A.K., Sharma S.C. and Bhar L.M. (2010). The effect of farms on growth pattern of crossbred cattle. Ind. J. Anim. Sci., 80(4), 373-375. I032(2013): 6.6

75. *Abeynayake N.R., Jaggi Seema and Varghese Cini (2011). Neighbour balanced bipartite block designs. Comm. Statist.-Theory Methods, 40, 4041-4052. C080(2013): 6.7

76. DashSukanta,WahiS.D.andRaoA.R.(2012).Classificationofmaizegenotypesbyartificialneuralnetwork-based method: self organizing feature map. Ind. J. Agril. Sci., 82(2), 161-163. I023(2013): 6.6

77. Kumar Anil, Panwar Sanjeev and Choudhary V.K. (2011). Fitting linear/nonlinear models using longterm fertility experiments. Int. J. Agril. Statist. Sci., 7(2), 645-650. I115(2013): 6.1

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78. *Pateria D.K., Jaggi Seema and Varghese Cini (2011). Universally optimal circular neighbour balanced block designs under mixed effects model. Utilitas Mathematica, 85, 33-43. U002(2013): 6.6

79. *Paul, A.K., Alam Wasi and Singh Pal (2011). Average linkage method clustering rice (Oryza sativa) producing states of India. Ind. J. Agril. Sci., 81(8), 756-759. I023(2013): 6.6

80. Arora Sumitra, Kanojia Ashok K., Kumar Ashok, Sardana H.R. and Sarkar Susheel Kumar (2012). Impact of biopesticide formulation on tomato (Lycopersicon esculemtum): Economics and environmental effects. Ind. J. Agril. Sci., 82(12), 1075-1078. I023(2013): 6.6

81. Panwar Sanjeev, Kumar Anil, Choudhary Vipin Kumar and Rathore Abhishek (2013). Modeling of potato yield in India: An empirical approach using ARCH/GARCH model. Int. J. Agril. Statist. Sci., 8(2), 597-601. I115(2013): 6.1

82. *Panwar, Sanjeev, Kumar Anil, Singh K.N., Farooqi Samir, Rathore Abhishek (2012). Using nonlinear regression techniques for analysis of onion (Allium cepa) production in India. Ind. J. Agril. Sci., 82(12), 43-46. I023(2013): 6.6

83. *Paul A.K., Singh Surendra, Singh K.N., Kumar Ashok and Singh N. Okendro (2012). Modeling for body growth of crossbred piglets. Ind. J. Anim. Sci., 82(9), 1098-1099. I032(2013): 6.6

84. *Paul R.K. and Bhar L.M. (2012). Robust analysis of block designs: A new objective function. Ind. J. Agril. Statist. Sci., 8(1), 243-250. I023(2013): 6.6

85. *Raman R.K., Wahi S.D. and Paul A.K. (2012). Linear discriminant function under multivariate non-normal rice (Oryza sativa) and maize (Zea mays) data. Ind. J. Agril. Sci., 82(5), 436-439. I023(2013): 6.6

86. Singh Jarnail, Singh Vijay, Mann Anita, Singh J.K., A Jerome, Sarkar S.K., Duhan J.S. and Yadav P.S. (2012). Buffalo umbilical cord blood collection and hematological comparison with peripheral blood of new born calf and its dam. Ind. J. Anim. Sci., 82(8), 84-86. I032(2013): 6.6

87. *Singh N. Okendro, Kumar Surinder, Singh N. Gopimohon, Paul A.K., Singh K.N. and Singh Pal (2013). Fitting of fox model with autoregressive of order one using expected value parameters. Ind. J. Anim. Sci., 83(2), 201-203. I032(2013): 6.6

88. *Wasala Samanthi K, Guleria S.K., Sekhar J.C., Mahajan V, Srinivasan K, Parsad Rajender and Prasanna B.M. (2013). Analysis of yield performance and genotype environment effects on selected maize (zea mays) landrace accessions of India. Ind. J. Agril. Sci., 83(3), 47-53. I032(2013): 6.6

CIRB, Hisar

89. Manuja Anju, Manuja Balvinder K., Dhingra M., Sarkar S. (2012). Differential expression of toll-like receptor 9 by various immune compartments of buffalo (Bubalus bubalis). Indian Journal of Animal Science, 82(4), 427–429. I032(2013): 6.6

90. Sharma, R.K., Singh J.K., Khanna, S., Phulia S.K., Sarkar S.K. and Singh Inderjeet (2012). Fetal age determination in Murrah buffaloes from days 22 through 60 with ultrasonography. Indian Journal of Animal Sciences, 82(4), 374–376. I032(2013): 6.6

91. Singh Jarnail, Singh Vijay, Mann Anita, Singh J.K., A. Jerome, Sarkar S.K., Duhan J.S. and Yadav P.S. (2012). Buffalo umbilical cord blood collection and hematological comparison with peripheral blood of new born calf and its dam. Indian Journal of Animal Sciences, 82(8), 84-86. I032(2013): 6.6


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NIANP Bangalore

92. Chandrasekharaiah M., Thulasi A., Suresh K.P. and Sampath K.T. (2010). Rumen degradable nitrogen requirementsforoptimummicrobialproteinsynthesisandnutrientutilizationinsheepfedonfingermilletstraw(Eleucine coracana) based diet. Animal Feed Science and Technology, Elsevier publication, doi:10.1016/j.anifeedsci.2010.10.015. A114(2013): 7.6

93. Samanta A.K., Jayapal Natasha, Kolte A.P., Senani S., Sridhar Manpal, Suresh K.P. and Sampath K.T. (2012). Enzymatic production of xylooligosaccharides from alkali solubilized xylan of natural grass (Sehima nervosum). Bioresource Technology, 112, 199-205. B098(2013):8.2.

CMFRI, Cochin

94. Sathianandan T.V., Jayasankar J., Kuriakose Somy, K.G. Mini and Mathew Wilson T. (2011). Indian marine fisheryresources:optimisticpresent,challengingfuture.Indian Journal of Fisheries, 58(4), 1-15. I050(2013): 6.2

NRC for Grapes, Pune

95. SatishaJogaiah,SomkuwarR.G.,SharmaJ.,UpadhyayA.K.andAdsuleP.G.(2010).Influenceofrootstockon growth, yield and fruit composition of Thompson Seedless grown in the Pune region of India. South African Journal of Enology and Viticulture, 31, 1-8. A073(2013): 7.6

96. Upadhyay A., Upadhyay A.K. and Bhirangi R.A. (2012). Expression of Na+/H+antiporter gene in respose to water and salinity stress in grapevine rootstocks. Biologia Plantarum 56(4), 762-766, 2012. B066(2013): 7.6

97. Satisha Jogaiah, Oulkar Dasharath P., Banerjee Kaushik, Sharma Jagdev, Patil Anuja S., Maske Smitha R. and Somkumar, Ramhari G. (2013). Biochemically Induced Variations during Some Stages in Thompson seedless Grapevines Grafted on Different Rootstocks. South African Journal of Enology and Viticulture. 34, 36-45. A082(2013): 7.6

98. Satisha Jogaiah, Maske Smitha R. and Upadhyay Anuradha. Rootstocks induced changes in enzyme activity and other biochemical components during bud burst in Thompson seedless grapevine buds. Vitis. In Press. V033(2013): 7.2

99. Satisha Jogaiah, Oulkar Dasharath P., Vijapure Amruta N., Maske Smita R., Sharma Ajay Kumar and SomkumarRamhariG. (2013). Influence of canopymanagement practices on fruit composition ofwinegrape cultivators grown in semiarid tropical region of India. African Journal of Agricultural Research, 8(26), 3462-3472. A052(2013): 6.0

NRC on Seed Spices, Ajmer

100. Kant Krishna, Sharma Y.K., Ramanujam B., Tyagi S.K., Ranjan J.K., Mishra B.K., Meena S.S., Vishal M.K. and Meena S.R. (2013). Biorational approaches for management of aphid (Hyadaphis coriandri Das) on fennel. Indian Journal of Horticulture, 70(2), 300-303. I055(2013):6.6.

101. Choudhary Sharda , Meena R.S., Singh, Ravindra Vishal M.K., Choudhary Vibha and Panwar Alka (2013). Assessmemnt of gebetic diversity among Indian fenugreek ((TRIGOI ELLA FOENUM-GRAECUM L.) varieties using morphological and RAPD markers. Legume Res., 36 (4) , 289 - 298. L008(2013): 6.5.

102. Mishra Brijesh Kumar, Yadav Virendra, Vishal M.K. and Kant Krishna (2013). Physiological and molecular characterization of clusterbean [Cyamopsis Tetragonoloba (L.) Taub] rhizobia isolated from different areas of Rajasthan, India. Legume Res., 36 (4), 299-305. L008(2013): 6.5.

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NRCAF, Jhansi103. Ajit, Dhyani S.K., Ramnewaj, Handa A.K., Prasad Rajendra, Badre Alam, Rizvi R.H., Gupta Garima,

Pandey K.K., Jain Amit and Uma (2013). Modeling analysis of potential carbon sequestration under existing agroforestry systems in three districts of Indo-gangetic plains in India. Agroforest Systems, DOI 10.1007/s10457-013-9625-x. A071(2013): 7.5

104. Ajit, Dhyani S.K., Handa. A.K., Chaturvedi, O.P., Singh Rajender and Uma (2013). Statistical models for growth prediction in eucalyptus under various tree based system. Int. J. Agricult. Stat. Sci., 9(1), 261-272. I115(2013): 6.1

NRC on Mithun, Jharnapani105. Mukerjee Anupama and Mukherjee, Sabyasachi (2013). Estimation of genetic parameter of growth and

breeding traits of mithun . Indian Veterinary Journal, 90(8), 34036. I086(2013): 6.0

NCAP, New Delhi106. Kumar Shiv, Birthal Pratap S., Chaudhary Khyali Ram (2011). Integration of food Markets in India: A Case

of Milk Markets. India Journal of Animal Sciences, 81(5), 66-72. I032(2011): 6.6107.KumarAnjani(2012).TechnicalEfficiencyinMilkProductioninIndo-GaneticPlainofIndia:Statusand

Determinants. Indian Journal of Animal Sciences, 82(6), I032(2012): 6.6

NBPGR, New Delhi/ Regional Station Hyderabad108. Arivalagan M., Gangopadhyay K.K., Kumar Gunjeet, Bhardwaj Rakesh, Prasad T.V., Sarkar S.K. and Roy A.

(2012). Variability in minerals composition of Indian eggplant (Solanum melongena L.) genotypes. Journal of Food Composition and Analysis, 26(1-2), 173-176. J174(2013): 7.7

109. Dikshit Nilamani, Das Anath Bandhu, Sivaraj Natarajan and Kar Meera Kumari (2012). Phenotypic Diversity for Agro-Morphological Traits in 105 Landraces of Rice (Oryza sativa L.) from Santhal Parganas, Jharkhand, India. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. Proc. Natl. Acad. Sci., India, Sect. B Biol. Sci. DOI 10.1007/ s40011-012-0139-5. P118(2013): 6.1

Directorate of Maize Research, New Delhi110. Mahajan V., Singh K.P., Ambika Rajendran R. and Kanya (2012). Response of maize genotypes to

changing climatic conditions in Himalayan region. Indian J. of Genetics and Plant Breeding , 72(2), 183-188. I053(2013): 6.6

111. Kleinknecht K., Möhring J., Singh K.P., Zaidi P.H., Atlin G.N. and Piepho H.P. (2013). Comparison of the performance of BLUE and BLUP for zoned Indian maize data.Crop Science: Posted 7 Mar. 2013; doi: 10.2135/cropsci2013.02.0073, 53, 1384-1391. C113(2013): 7.6

DOR, Hyderabad112. Ross Gavin J.S., Prajneshu, Sarada C. (2010). Reparameterization of nonlinear statistical models: a case

study Journal of Applied Statistics, 1360-0532, 37(12), 2015–2026. J057(2013): 6.9

Directorate of Sorghum Research, Hyderabad113. *Kannababu N., Rakshit S., Audilakshmi S., Tonapi V.A., Patil J.V., Dhandapani A., Reddy D.C.S., Venugopal

K., M. Swarnalatha, Balakrishna G., Raghunath K. and Subhakar V. (2013). Genetic variability among Indian rainy season sorghum cultivars revealed by morpho-agronomic traits. Indian Journal of Genetics and Plant Breeding, 73(1), 110-115. I053(2013): 6.6


50

114. Sankarapandian R., S. Audilakshmi, Sharma V.K., Ganesamurthy, Talwar H.S. and Patil J. V. (2013) Effect of morpho-physiological traits on grain yield of sorghum grown under stress at different growth stages, and stability analysis. The Journal of Agricultural Science, available on CJO2012. doi:10.1017/S002185961200072X, 151, 630-647.. J019(2013): 7.7.

Directorate of Soybean Research, Indore115. Sharma Mahaveer P., Gupta Sonam, Sharma Sushil K. and Vyas A.K. (2012) Effect of tillage and crop

sequences on arbuscular mycorrhizal symbiosis and soil enzyme activities in soybean (Glycine max L. Merrill) rhizosphere. Indian Journal of Agricultural Sciences, 82, 25-30. I017(2013): 6.6

Directorate of Medicinal & Aromatic Plants Research, Anand116. Reddy R. Nagaraja, R. Madhusudhana, S. Murali Mohan, Chakravarthi D.V.N., Mehtre S.P. and Patil Seetharama

N. (2013). Mapping QTL for grain yield and other agronomic traits in post-rainy sorghum [Sorghum bicolor (L.) Moench]. Theoretical and Applied Genetics (TAG-2012-0312.R2), 126(8), 1921-1939. T044(2013): 7.9

Directorate of Research on Women in Agriculture, Bhubaneswar117. Badri Jyothi, Ansari, N.A., Yepuri Vijay, G. Anuradha, Sarkar A., Sudhakar R. and Siddiq E.A. (2011).

Assessment of Resistance to Fusarium Wilt Disease in Sesame( Sesamum indicum L.) Germplasm. Australasian Plant Pathology. 40, 471-475. A221(2013): 7.3

118. Biswas G., Debasis De, Thirunavukkarasu A.R., Natarajan M., Sundaray J.K., Kailasam M., Prem, Kumar Prem, Ghoshal T.K., Ponniah A.G. and Sarkar A. (2012). Effects of stocking density, feeding, fertilization and combinedfertilizationfeedingontheperformancesofstripedgreymullet(MugilcephalusL.)fingerlingsinbrackish water pond rearing systems. Aquaculture, 338-341:284-292. A182(2013): 7.7

119. Rakshit Sujay, Ganapathy K.N., Gomashe S.S., Rathore A., Ghorade R.B., Nagesh M.V. Kumar, Ganeshmurthy K., Jain S.K., Kamtar M.Y., Sachan J.S., Ambekar S.S., Ranwa B.R., Kanawade D.G., Balusamy M., Kadam D., Sarkar A., Tonapi V.A. and Patil J.V. (2012). GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 185(3), 465-479. E081(2013): 7.6

120. Mondal B., Bhattachary I., Sarkar A. and Khatua D.C. (2013). Evaluation of local brinjal (Solanum melongena L.) germplasm for bacterial wilt resistant. International Journal of Agriculture and Statistical Sciences, 9(2), 709-716. I115(2013): 6.1

MPUA & T, Udaipur121. *Sharma, Latika and Mehta (Ranka) Nitu (2013). Changing Face of Indian Agricultural Export in context

to the Liberalization Regime. International Journal of Agricultural and Statistical Sciences, 9(2) In Press. I115(2013):6.1

PAU, Ludhiana122.SekhonB.S.andBhumblaD.K.(2012).Phosphorusremediationbyacidminedrainageflocanditsimplications

for phosphorus environmental indices. Journal of Soils and Sediments, 13(2), 336-343. DOI 10.1007/s11368-012-0621-y. J355(2013): 7.6

123. Brar S.K., Mahal S.S., Brar A.S., Vashisht K.K., Neeraj Sharma and Buttar G.S. (2012) Transplanting time and seedling age affect water productivity rice yield and quality in north-west India. Agricultural Water Management, 115, 217-222. A064(2013): 7.6

124. Lore, Jagjeet Singh, Hunjan Mandeep Singh, Laetitia Pritpal Singh, Srinivasachary Sri and Serger Savery (2013) Phenotyping of Partial Physiological Resistance to Rice Sheath Blight. Journal of Phytopathology, 161, 224-229. J311(2013): 7.2

FINAL REPORT

51

125. Soni Rajesh, Deol G.S. and Singh Satnam (2013). Seasonal dynamics of wheat aphid complex and predator Coccinella septempunctata Linn in relation to abiotic and biotic factors. Journal of Environmental Biology, 34, 689-694. J137(2013): 7.1

126. Kumar Sanjeev, Sidhu Jaspreet K., Hamm Jason C., Kular Jagdev S. and Mahal Manjit S. M. (2013). Effects Of Temperature And Relative Humidity On The Life Table Of Phenacoccus Solenopsis Tinsley (Hemiptera: Pseudococcidae) On Cotton. Florida Entomologist, 96(1),19-28. F024(2013): 7.5

127. Kumar S., Kular J.S., Mahal M.S. and Dhawan A.K. (2013). Life table of Phenacoccus solenopsis Tinsley (Pseudococcidae: Hemiptera) on various phenological stages of cotton. African Journal of Agricultura Research, 8(17), 1669-1676. A052(2013):6.0

UAS, Bengaluru128. Balamurugan V., Krishnamoorthy P., Veeregowda B.M., Sen A., Rajak K.K., Bhanuprakah V., Gajendragad

M.R. and Prabhudas K. (2012). Seroprevalence of Pesti des petits ruminants in cattle and buffaloes from southern peninsular India. Tropical Animal Health and Production, 44(2), 301-306. T080(2013):7.5

129. Bharath B.G., Ananda K.S., Rijith J., Nagaraja N.R., Chandran K.P. and Rajesh M.K. Genetic relationship and diversity studies in arecanut (Areca catechu L.) based on RAPD analysis. Acta Botanica Gallica. In Press. A015(2013): 6.8

RVSKVV, Gwalior130.ThakurSubhash,SinghAkhileshandSuraiyaSeema(2012).ComparisonofDifferentImageClassification

TechniquesforLandUseLandCoverClassification:AnApplicationinJabalpurDistrictofCentralIndia.International Journal of Remote Sensing and GIS, 1(1), 2012, 26-31. I161(2013): 7.5

Institute of Agricultural Sciences, BHU, Varanasi131. Singh K.P., Vaish S.S., Kumar Niranjan, Singh K.D., Kumari Minakshi (2012). Catenaria anguillulae as an

efficientbiologicalcontrolagentofAnguinatriticiinvitro.Biological Control, 61, 185–193, ISSN 1049-9644. B069(2013):7.7

132. Eisal Musaed, Chand Ramesh, Joshi Arun K. Biochemical and histochemical traits in wheat: a promising way to screen resistance against spot blotch (Bipolaris sorokiniana) of wheat. European Journal of Plant Pathology, 137, 805-820. E098(2013): 7.5

College of Agriculture, Vellayani (KAU, Thrissur)133. Nusifabeevi P. Sreekumary M.T. Mathew P.M. and Kumar Vijayaraghava (2009). Variability and correlation

studies in South Indian taro( Colocasia esculenta L. schott.). Cytology and Genetics, 10, 13-19. C141 (2013): 6.7

134. Devipriya M.S., Devipriya V., Udayan P.S., Kumar Vijayaraghava and Mathew P.M. (2010). Variability and correlation among qualitative epidermal features of six species of salacial from Kerala. Cytology and Genetics, 11, 35-40. C141(2013): 6.7

135. Thomas M.T., Mathew P.J., Mathew Ban and Kumar Vijayaraghava (2010). Genetic Variability, correlation and heritability of certain agronomic characters of Sentells asiatica ( L.) URD. Cytology and Genetics, 11, 77-81. C141(2013): 6.7


52

B. Books/ Book chapters/ Abstracts/ Popular articles, Brochures, etc.

S. No. Authors, Title of the papers Name of Book/ Seminar/ Proceedings/Journal, Publisher, Year, Page No.

Responsible Partner

Book Chapters1. *Shailza, Sharma Latika and Burark S.S. Growth, Instability and Structural

Changes in the Export of Indian Tea. National seminar on “Agri-Business Potential for North Eastern States”

MPUAT, Udaipur

2. *Malhotra, R., and Sharma, V. (2013). SAS Enterprise Guide : An Overview. In: Ruhil, A.P., et al. (Eds.) Data Mining Techniques for Farm Animal Management, pp. 258–280. Agrotech Publishing Academy, 11-A, Vinayak Complex-B, Durga Nursery Road, Udaipur-313001. (Chapter 20). ISBN (13) 978-81-8321-293-9.

NDRI, Karnal

3. *Malhotra, R., and Sharma, V. (2013). Design of Experiments using SAS .In: Ruhil, A.P., et al. (Eds.) Data Mining Techniques for Farm Animal Management, pp. 281–293. Agrotech Publishing Academy, 11-A, Vinayak Complex-B, Durga Nursery Road, Udaipur-313001. (Chapter 21). ISBN (13) 978-81-8321-293-9.

NDRI, Karnal

4. *Sharma, A.K. (2013). SAS programming essentials for statistical computing in animal sciences. In: Ruhil, A.P. et al. (Editors) Data Mining Techniques for Farm Animal Management, pp. 187–208. Agrotech Publishing Academy, 11A-Vinayak Complex-B, Durga Nursery Road, Udaipur-313001. (Chapter 17). ISBN (13) 978-81-8321-293-9.

NDRI, Karnal

13. Media Products Developed/DisseminatedS. No. CD, Bulletins, Brochures, etc.

(Year wise)No. of Copies

Distribution Responsible Partner

Brochure 1. Pamphlet on the Consortium: 2010 1500 All NARS Organizations IASRI, New Delhi2. Brochure on Announcement of

Data Analysis in Social Sciences Research using SAS: 2011

200 All the NARS Organization and made available on www.iasri.res.in/sscnars

IASRI, New Delhi

3. Brochure on Announcement of Data Mining Using SAS: 2011

200 All the NARS Organization and made available on www.iasri.res.in/sscnars

IASRI, New Delhi

4. Brochure on Announcement of Data Analysis Using SAS at NDUAT, Faizabad: 2012

200 Allll the NARS Organization and made available on www.iasri.res.in/sscnars

IASRI, New Delhi

5. Poster on Indian NARS Statistical Computing Portal: 2013

25 CCPI and Co-PI IASRI, New Delhi

Bulletins: 036. Indian NARS Statistical

Computing Portal500 AllNodalofficersandmade

available on www.iasri.res.in/sscnars

IASRI, New Delhi & NAARM, Hyderabad

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7. Quick Reference Guide: Installation, Maintenance and Trouble Shooting: 2013

15 CCPI and Co-PI and made available on www.iasri.res.in/sscnars

IASRI, New Delhi & NAARM, Hyderabad

8. Installation Manual for SAS 9.3: 2013

05 Statistical Computing Hubs and made available on Resource Page

IASRI, New Delhi & CIFE, Mumbai

9. How to Renew License? - Available on Resource Page IASRI, New Delhi

Reference Manuals: 13 (out of which 09 are e-manuals)

10. Data Analysis using SAS (24 lectures)

2000(print copy as well as CDs)

All Participants of training programmes and e-manual is available at www.iasri.res.in/sscnars/contentmain.htm

IASRI, New Delhi; NDRI, Karnal; IVRI, Izatnagar; MPUA&T, Udaipur; DWM, Bhubuneswar; ICAR RC NEHR, Barapnai; UAS, Bengaluru; NAARM, Hyderabad & CIFE, Mumbai

11. Data Analysis of Agro-forestry Experiments Using SAS (05 lectures)

30 All participants of training programme and e-manual is available at www.iasri.res.in/sscnars/casestudiescontent.htm

IASRI, New Delhi

12. Data Analysis of Natural Resource Management Research Using SAS (03 lectures)

28 All participants of training programme and e-manual is available at www.iasri.res.in/sscnars/csestudiesnrmr.htm

IASRI, New Delhi

13. Genetics/Genomics Data Analysis Using SAS (14 lectures)

80 All participants of training programme and made available atwww.iasri.res.in/sscnars/content_Genetics.htm

IASRI, New Delhi;&CIFE, Mumbai

14. Data Analysis in Social Sciences Research Using SAS (20 lectures)

25 All participants of training programme and made available at www.iasri.res.in/sscnars/content_social.htm

IASRI, New Delhi

15. Data Analysis and Interpretation in Farm Implementation and Machinery Research Using SAS

25 All participants of training programme

IASRI, New Delhi


54

16. Analysis of Veterinary Science Data Using SAS


IVRI, Izatnagar

17. Data Analysis in Dairy Sciences Using SAS (08 lectures)

25 All participants of training programme and made available at http://www.iasri.res.in/sscnars/content_dairy.htm

NDRI, Karnal

18. SAS: Multivariate Data Reduction and Analysis


CIFE, Mumbai

19. Data Mining Using SAS (11 lectures)

25 All participants of training programme and made available at www.iasri.res.in/sscnars/content_dm.htm

IASRI, New Delhi

20. Data Analysis Using R (08 lectures)

- www.iasri.res.in/sscnars/content_rmanual.htm


21. Data Analysis of Animal Sciences Research (01 lectures)

- http://www.iasri.res.in/sscnars/cs_animal.htm

IASRI, New Delhi

22. Data Analysis Using SAS:A Ready Reckoner for Dairy Managers

30 To all participants of training programme

NAARM, Hyderabad

23. Case Study on Working with SAS-ESRI Bridge

- Available on website NAARM, Hyderabad

14. Meetings/Seminars/Trainings/Kisan Mela, etc. organized

S. No. Training programme organized

Duration(From-To)

No. of Personnel Trained

Budget(`) in lakh

Organizer (Name & Address)

2010-2011

1. Launch Workshop June 07-09, 2010 80 1.48270 IASRI, New Delhi

2. Orientation-Cum-Installation Training

June 07-08, 2010 37


June 17-18, 2010 17 0.45378 NDRI, Karnal

4.. Orientation-Cum-Installation Training

June 18-19, 2010 15 0.22771 IVRI, Izatnagar


June 21-22, 2010 14 0.60000 MPUAT, Udaipur

FINAL REPORT

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6.. Orientation-Cum-Installation Training

June 18-19, 2010 21 0.71704 DWM, Bhubaneswar


June 15-16, 2010 07 0.38839 ICAR RC NEHR, Barapani


June 21-22, 2010 20 0.69975 UAS, Bengaluru


June 16-17, 2010 30 1.11554 NAARM, Hyderabad


June 16-17, 2010 25 0.76587 CIFE, Mumbai

Total 6.45103

2011-12

2nd Workshop-cum-Installation Training and Partner’s Meet Handingoverofupdatesandupgradesandfacetofaceinteractionwithnodalofficers


Duration(From-To)

No. of Personnel Trained/ Participated

Budget(`) in lakh


1. Partners’ Meet April 28, 2011 16 0.73063 IASRI, New Delhi

November 01, 2011 16


November 01-03, 2011 29


November 08-09, 2011 11 0.26402 NDRI, Karnal


October 28-29, 2011 11 0.28387 IVRI,Izatnagar


November 25-26, 2011 14 0.40471 MPUAT, Udaipur


December 08-09, 2011 15 0.51257 DWM, Bhubaneswar


December 13-14, 2011 17 0.51854 UAS, Bengaluru


November 15-16, 2011 35 - NAARM, Hyderabad


January 06, 2012 06 0.13400 CIFE, Mumbai

Total 2.84834


56

2012-13

3rd Workshop-cum-Installation Training and Partner’s Meet Handingoverofupdatesandupgradesandfacetofaceinteractionwithnodalofficers


Duration(From-To)


Budget(`) in lakh


1. Partners’ Meet June 25, 2012 16 1.06466 IASRI, New Delhi2. Orientation-Cum-

Installation TrainingJune 26, 2012 19


June 14, 2012 20 0.93717 NDRI, Karnal


June 28, 2012 11 0.90190 IVRI, Izatnagar


June 15, 2012 8 0.33121 MPUAT, Udaipur


June 22, 2012 16 0.58170 DWM, Bhubaneswar


June 18, 2012 5 0.40932 ICAR RC NEHR, Barapani


June 20, 2012 11 0.39919 UAS, Bengaluru


June 27, 2012 18 0.51541 NAARM, Hyderabad

10 . Orientation-Cum-Installation Training

June 30, 2012 17 0.72727 CIFE, Mumbai

Total 5.86783

2013-14

4th Workshop-cum-Installation Training and Partner’s Meet Handingoverofupdatesandupgradesandfacetofaceinteractionwithnodalofficers


Duration(From-To)

No. of Personnel Trained/ participated

Budget(`) in lakh


1. Partners’ Meet September 17, 2013 34 1.31080 IASRI, New Delhi2. Orientation-Cum-

Installation TrainingSeptember 17-18, 2013


September 30-October 01, 2013

20 0.44569 NDRI, Karnal


September 20-21, 2013 12 0.27857 IVRI, Izatnagar


October 09-10, 2013 13 0.24917 MPUAT, Udaipur


September 05-06, 2013 19 0.71348 DWM, Bhubaneswar

FINAL REPORT

57


December 04-05, 2013 11 0.25000 ICAR RC NEHR, Barapani


November 15-16, 2013 18 0.50000 UAS, Bengaluru


October 04-05, 2013 22 0.00000 NAARM, Hyderabad


August 30-31, 2013 22 1.08104 CIFE, Mumbai

Total 4.82875

National Training imparted on Usage of SASStatistical Computing Hub 1: IASRI, New Delhi (LEAD CENTRE)

S. No. Training Programme Organized

Duration(From-To)


Budget(`) in lakhs


2010-11Trainers Training Programmes

1. SAS: A Comprehensive Overview

June 23-July 09, 2010 (Phase I):September 13-October 01, 2010 (Phase II):

28 ( Phase I: 26; Phase II: 26 out of which 2 were new participants)

11.18106

SAS Indian Pvt. Ltd. Representatives

2. SAS Genetics and Genomics

October 04-08, 2010 29: 7 new participants

3. Data Analysis Using SAS October 09-15, 2010 (trainers training: for statistical computing hubs)

17 Rajender Parsad

Researchers Training Programmes 1. Data Analysis Using SAS August 17-22, 2010 20 Rajender Parsad 2. Data Analysis Using SAS October 25-30, 2010 19 Rajender Parsad 3. Data Analysis Using SAS November 22- 27,

201022 Rajender Parsad

4. Data Analysis Using SAS January 10-15, 2011 22 Rajender Parsad 5. Data Analysis of Agro-

forestry Experiments Using SAS

January 17-22, 2011 23 •Rajender Parsad •AK Handa & Ajit:

NRCAF, Jhansi6. Data Analysis Using SAS January 31-February

05, 2011 20 Rajender Parsad

7. Data Analysis Using SAS February 21-26, 2011 23 Rajender Parsad


58

2011-128. Data Analysis Using SAS May 16-21, 2011

at Pt. Deen Dayal Upadhayaya Veterinary University and Gau-Anusandhan Sansthan, Mathura

28 8.19306 •Rajender Parsad & Seema Jaggi

•Rakesh Goel: DUVASU, Mathura

9. Data Analysis of Natural Resource Management Research Using SAS

June 20-25, 2011 21 Rajender Parsad &LM Bhar

10. Genetics/ Genomics Data Analysis Using SAS

September 19-24, 2011

24 Rajender Parsad &AK Paul

11. Data Analysis in Social Sciences Research Using SAS

October 10-15, 2011 20 Rajender Parsad &Sivaramane, N

12. Data Analysis and Interpretation of Farm Implements and Machinery Research Using SAS

November 14-19, 2011

18 Rajender Parsad

13. Data Mining Using SAS February 06 -11, 2012 18 Rajender Parsad, Samir Farooqui & Anshu Bhardwaj

14. Data Analysis Using SAS March 19-24, 2012 at Narendra Deva University of Agriculture & Technology, Faizabad

23 • Rajender Parsad & Seema Jaggi •BVS Sisodia:

NDUA&T, Faizabad

2012-1315. Data Analysis Using SAS February 18-23, 2013

at RVKVV, Gwalior21 2.19841 •Rajender Parsad &

Seema Jaggi•V.B. Singh: RVSKVV, Gwalior

16. Data Analysis Using SAS March 04-09, 2013 at SKRAU, Bikaner

23 •Ramasubramanin, V. & Samir Farooqui

•Rajesh Sharma & Vipin Ladha: SKRAU, Bikaner

2013-1417. Data Analysis Using SAS December 09-13, 203

at IISS, Bhopal31 1.07234 •Rajender Parsad

•Sanjay Srivastava & G. Somasundra: IISS, Bhopal

18. Data Analysis Using SAS January 29 - February 05, 2014

18 1.17933 Rajender Parsad

FINAL REPORT

59

Statistical Computing HUB-2: NDRI, Karnal

S.No. Training programme organized

Duration(From-To)


Budget(`) in lakhs


2010-11

Trainers Training Programmes


August 02-September 08, 2010

20 4.55446 SAS Indian Pvt. Ltd. Representatives

Researchers Training Programmes

1. Data Analysis Using SAS November 22-27, 2010 20 Ravinder Malhotra

2. Data Analysis Using SAS December 18-24, 2010 20 Ravinder Malhotra

3. Data Analysis Using SAS January 10-15, 2011 14 Ravinder Malhotra

4. Data Analysis Using SAS January 24-31, 2011 21 Ravinder Malhotra

5. Data Analysis Using SAS March 07-12, 2011 at CIRB, Hisar

25 •Ravinder Malhotra •Susheel Sarkar:

CIRB, Hisar

6. Data Analysis Using SAS March 22- 28, 2011 17 Ravinder Malhotra

2011-12

7. Data Analysis Using SAS July 11-16, 2011 at PAU, Ludhiana

30 2.40197 • Ravinder Malhotra•Amrit Kaur Mahal:

PAU, Ludhiana

8. Data Analysis Using SAS August 01- 06, 2011 22 Ravinder Malhotra

9. Data Analysis Using SAS September 12-17, 2011 20 Ravinder Malhotra

10. Data Analysis in Dairy Science Using SAS

October 31-November 05, 2011

09 Ravinder Malhotra

2012-13

11. Data Analysis Using SAS March 11-16, 2013 19 Ravinder malhotra

2013-14

11. Data Analysis Using SAS February 17-12, 2014 16 2.45220 Ravinder Malhotra

12. Data Analysis Using SAS March 17-22, 2014 at SKUAST, Jammu

25 •Ravinder Malhotra•Manish Sharma:

SKUAST-Jammu


60

Statistical Computing HUB-3: IVRI, Izatnagar

S.No. Training programme organized

Duration(From-To)


Budget(`) in lakhs


2010-11



July 19-August 23, 2010



1. Data Analysis Using SAS September 20-25, 2010

16 B. Singh

2. Data Analysis Using SAS November 22-27, 2010

15 B. Singh

3. Data Analysis Using SAS January 15-20, 2011 15 B. Singh

4. Data Analysis Using SAS February 21-26, 2011 17 B. Singh

2011-12

5. Data Analysis Using SAS July 18-23, 2011 at GBPUA&T, Pantnagar

26 3.93315 •B. Singh•S.B. Singh:

GBPUAT, Pantnagar

6. Analysis of Veterinary Science Data Using SAS


13 B. Singh

7. Data Analysis Using SAS January 09-14, 2012 at CIRG, Makhdoom

22 •B. Singh•SK Singh: CIRG,

Makhdoom

8. Data Analysis Using SAS March 19-24, 2012 at CSUA&T, Kanpur

29 •B. Singh •Munish Kumar:

CSUA&T, Kanpur

2012-13

9. Data Analysis Using SAS February 25-March 02, 2013 at VPKAS, Almora

22 • B. Singh• BS Bisht: VPKAS,

Almora

2013-14

10. Data Analysis Using SAS February 03-08, 2014 at CSWCRTI, Dehradun

21 1.94209 •B. Singh, Med Ram Verma

•NM Alam: CSWCRTI, Dehradun

FINAL REPORT

61

Statistical Computing HUB-4: MPUA&T, Udaipur


Duration(From-To)


Budget(`) in lakhs


2010-11 3.15900 SAS Indian Pvt. Ltd. Representatives




14


1. Data Analysis Using SAS November 22-27, 2010 16 Latika Sharma

2. Data Analysis Using SAS January 10-15, 2011 20 Latika Sharma

3. Data Analysis Using SAS February 14-19, 2011 20 Latika Sharma

2011-12

4. Data Analysis Using SAS August 01-06, 2011 16 4.41570 Latika Sharma

5. Data Analysis Using SAS September 12-17, 2011 17 Latika Sharma

6. Data Analysis Using SAS December 12-17, 2011 16 Latika Sharma

7. Data Analysis Using SAS January 16-21, 2012 10 Latika Sharma

2012-13

8. Data Analysis Using SAS January 14-20, 2013 11 0.80846 Latika Sharma

2013-14

9. Data Analysis Using SAS November 25-30, 2013 11 2.12093 Latika Sharma


62

Statistical Computing HUB-5: DWM, Bhubaneswar


Duration(From-To)


Budget(`) in lakhs






Researchers Training Programmes1. Data Analysis Using SAS November 22-27,

201019 Dileep Kumar Panda

2. Data Analysis Using SAS December 13-18, 2010 20 Dileep Kumar Panda3. Data Analysis Using SAS January 17-22, 2011

at Birsa Agricultural University, Ranchi

26 •Dileep Kumar Panda•Prakash Kumar:

BAU, Ranchi4. Data Analysis Using SAS January 24-29, 2011 at

JNKVV, Jabalpur26 •Dileep Kumar

Panda•AK Rai: JNKVV,

Jabalpur5. Data Analysis Using SAS February 14-19, 2011

at CIFRI, Barrackpore 33 •Dileep Kumar

Panda•D. Karunakaran:

CIFRI, Barrackpore6. Data Analysis Using SAS March 02-09, 2011 at

CARI, Port Blair37 •Dileep Kumar Panda

•M. Balakrishnan: CARI, Port Blair

2011-127. Data Analysis Using SAS September 19-24,

2011 at UBKV, Cooch Behar

26 4.56071 •Dileep Kumar Panda•Arunava Ghosh:

UBKV, Cooch Behar8. Data Analysis Using SAS January 16-21, 2012 at

OUAT, Bhubaneswar (Group I)

23 •Dileep Kumar Panda•Amulya Kumar

Paroida: OUAT, Bhubaneswar9. Data Analysis Using SAS January 16-21, 2012 at

OUAT, Bhubaneswar (Group II)

23

10. Data Analysis Using SAS February 13-18, 2012 at BCKV, Kalyani

28 •Dileep Kumar Panda

•Anurup Majumder: BCKV, KalyaniKalyani

11. Data Analysis Using SAS March 12-17, 2012 at IGKV, Raipur

36 • Dileep Kumar Panda

•ML Lakhera: IGKV, Raipur

FINAL REPORT

63

2012-1312. Data Analysis Using SAS February 18-23,

2013 for researchers of AICRP on Water Management

19 2.46855 Dileep Kumar Panda

13. Data Analysis Using SAS February 25- March 02, 2013 at NIRJAFT, Kolkata

18 •Dileep Kumar Panda •Sujay Das: NIRJAFT, Kolkata

2013-1414. Data Analysis Using SAS July 01-06, 2013 at

CRIJAF, Barrackpore, Kolkata

20 1.20200 •Dileep Kumar Panda •Asim Kumar

Chakraborty: CRIJAF, Barrackpore

Statistical Computing HUB-6: ICAR RC NEHR, Barapani


Duration(From-To)


Budget(`) in lakhs






Researchers Training1. Data Analysis Using SAS November 22-27,

201018 N. Uttam Singh

2. Data Analysis Using SAS January 13-19, 2011 18 N. Uttam Singh3. Data Analysis Using SAS March 07-12, 2011 20 N. Uttam Singh

2011-124. Data Analysis Using SAS September 19-24,

201125 3.32330 N. Uttam Singh

5. Data Analysis Using SAS February 19-24, 2012

at ICAR Research Complex for NEH Region, Manipur centre, Imphal

21 N. Uttam Singh

2012-136. Data Analysis Using SAS March 11-20, 2013 19 2.70000 N. Uttam Singh

2013-147. Data Analysis Using SAS January 06-11, 2014

at CAU, Imphal 20 2.70680 N. Uttam Singh


64

Statistical Computing HUB-7: UAS, Bengaluru


Duration(From-To)


Budget(`) in lakhs


2010-11 UAS, Bengaluru




21 8.00568 SAS India Pvt. Ltd. Representative


1. Data Analysis Using SAS November 08-13, 2010

18 M. Gopinath Rao

2. Data Analysis Using SAS December 13-18, 2010

16 M. Gopinath Rao

3. Data Analysis Using SAS January 17-22, 2011 18 M. Gopinath Rao

4. Data Analysis Using SAS March 03-09, 2011 at CTCRI, Thiruvananthapuram

25 •M. Gopinath Rao•J. Sreekumar:

CTCRI, Thiuvananthapuram

2011-12

5. Data Analysis Using SAS August 08-13, 2011 21 4.26573 M. Gopinath Rao

6. Data Analysis Using SAS January 16-21, 2012 at CPCRI, Kasargod

17 •M. Gopinath Rao•K. Muralidharan

and K.P Chandran: CPCRI, Kasargod

7. Genetic and Genomics Data Analysis Using SAS

February 13-18, 2012 18 M. Gopinath Rao

8. Data Analysis Using SAS March 12-17, 2012 at Karnataka Veterinary, Animal and Fisheries Science University, Bidar

20 •M. Gopinath Rao •M.D. Suranagi,

KVAFSU, Bidar

2013-14

9. Data Analysis Using SAS September 24-28, 2013 at PDADMAS, Bengaluru

15 1.55608 M. Gopinath Rao

10. Data Analysis Using SAS February 01- 07, 2014 at CIFT, Kochi

23 2.4870 •M. Gopinath Rao•V. Geetha Lakshmi: CIFT, Kochi

FINAL REPORT

65

Statistical Computing HUB-8: NAARM, Hyderabad


Duration(From-To)


Budget(`) in lakhs




June 28-August 02, 2010 29 4.33550 SAS India Pvt. Ltd. Representative

Researchers Training Programmes1. Data Analysis Using SAS September 15-22, 2010 18 M.N. Reddy 2. Data Analysis Using SAS November 24-30, 2010 26 M.N. Reddy 3. Data Analysis Using SAS December 13-18, 2010 21 M.N. Reddy 4. Data Analysis Using SAS January 19-25, 2011 26 M.N. Reddy 5. Data Analysis Using SAS March 21- 26, 2011 16 M.N. Reddy

2011-126. Data Analysis Using SAS August 17- 23, 2011 25 2.11318 M.N. Reddy

Ananta Sarkar

7. Data Analysis Using SAS December 14-20, 2011 11 M.N. Reddy A. Dhandapani

8. Data Analysis Using SAS January 27- February 02, 2012

16 A. Dhandapani

9. Data Analysis Using SAS February 13-18, 2012 at RARS Tirupati

24 •A. Dhandapani •B. Ravindra

Reddy: RARS Tirupati

2012-1310. Analysis for

Experimental Data Using SAS

November 02-08, 2012 13 3.57195 A. Dhandapani P.D. Sreekant

11. Survey Design and Data Analysis Using SAS in Social Science

January 28-February 06, 2013

18 A. Dhandapani N. Sivaramane P.D. Sreekant

2013-1412. Data Analysis Using SAS November 25-30, 2013

at Madras Veterinary College, TANUVAS, Chennai

30 2.35212 •A. Dhandapani•M.

Thirunavukkarasu: TANUVAS, Chennai

13. Data Analysis Using SAS December 09-14, 2013 at College of Agriculture, TNAU, Coimbatore

33 •A. Dhandapani•M.R. Duraisamy:

TNAU, Coimbatore


66

Statistical Computing HUB-9: CIFE, Mumbai


Duration(From-To)


Budget(`) in lakhs





23 11.77259 SAS India Pvt. Ltd. Representative

Researchers Training Programmes1. Data Analysis Using SAS September 23-29,

2010 at MPKV, Rahuri

23 •S. Jahageerdar•M.J. Wattambar:

MPKV, Rahuri 2. Data Analysis Using SAS November 15-20,

201021 S. Jahageerdar

3. Data Analysis Using SAS December 06-11, 2010at Dr. Balasahab Sawant Konkan Krishi Vidyapeeth, Dapoli

21 •S. Jahageerdar•J.S. Dhekale:

DBSKKV, Dapoli

4. Data Analysis Using SAS December 18- 23, 2010at Anand Agricultural University, Anand

26 •S. Jahageerdar•J.S. Patel: AAU,

Anand

5 . Data Analysis Using SAS March 21-26, 2011 14 S. Jahageerdar2011-12

6. SAS: Multivariate Data Reduction and Analysis

October 12-17, 2011 23 6.20052 S. Jahageerdar

7. Genetics/Genomics Data Analysis Using SAS

February 27-March 03, 2012

28 S. Jahageerdar

8. Data Analysis Using SAS March 15-20, 2012 14 S. Jahageerdar

2012-139. Data Reduction and

Multivariate Analysis Using SAS

February 11-16, 2013 28 3.11158 S. Jahageerdar

2013-1410. Predictive Models

in Agriculture and Aquaculture Research


20 2.61724 S. Jahageerdar

FINAL REPORT

67

15. Participation in Conference/ Meetings/Trainings/ Radio talks, etc.

S. No. Details of Meetings/Seminars/Trainings/Radio talk, etc.(Name &Address)

Duration(From-To)

Budget(`) in lakhs

Participant (Name & Address)

A. As Participant/Trainee: NIL

B. As Trainer/Communicator in Events other than those conducted by Consortia

1. Director’s Conference held at NASC Complex, New Delhi

July 15-16, 2010 - V.K. Bhatia

2. Interactive Meet with Directors of NRM Division of ICAR at IASRI, New Delhi

September 22, 2010 - Rajender Parsad

3. Training for Freshers organized at Directorate of Maize Research, New Delhi

October 11-13, 2010 - Rajender Parsad

4. Training programme on Designing Nutraceutical and Food Coolant Rich Vegetable Crop Plants organized at Division of Vegetable Science, IARI, New Delhi


- Rajender Parsad

5. Winter School on Data Mining Techniques for Farm Animal Management organized at NDRI, Karnal

December 08-28, 2010 - Ravinder Malhotra

6. Interactive Meet with Directors of Animal Sciences Division of ICAR at IASRI, New Delhi

October 27, 2010 - Rajender Parsad

7. Annual Workshop on Rapeseed and Mustard held at RVSKVV, Gwalior

December 01-03, 2010 Institute Fund

Rajender Parsad

8. 64th Annual Conference of ISAS held at BCKV, Kalyani

December 03-05, 2010 Institute Fund

Rajender Parsad

9. Biennial Workshop of AICRP on IFS held at ANGRAU, Hyderabad

December 11-13, 2010 0.16000 Rajender Parsad

10. XVI National Conference of Agricultural Research Statisticians held at IASRI, New Delhi

December 23-24, 2010 - Rajender Parsad and A. Dhandapani

11. Training programme on Institutional Change for Inclusive Agricultural Growth at Division of Agricultural Economics, IARI, New Delhi

February 15- March 07, 2011 (lecture was delivered on March 05, 2011)

- Rajender Parsad

12. Training programme on Statistical Modelling in Agriculture under CAFT in Agricultural Statistics and Computer Application held at IASRI, New Delhi

February 15-March 07, 2011 (lecture was delivered on February 17, 2011)

- Rajender Parsad


68

13. 13th Annual Conference of Society of Statistics, Computers and Applications held at NAARM, Hyderabad

February 24-26, 2011 0.14000 Rajender Parsad

14. Training programme on Advanced Analytical Techniques for Aquatic Environment’ organized by Aquatic Animal Health and Environment Division, CIFE, Mumbai-61

February 24-March 16, 2011

- Shrinivas Jahageerdar

15. Gene Expression Analysis and Structural Bioinformatics held at NBPGR, New Delhi

March 01-12, 2011 - Rajender Parsad

16. Winter School on Technological Advances in Novel Dairy Foods organized at NDRI, Karnal

March 01-21, 2011 - Ravinder Malhotra

17. Special 6-day SAS module during National Training Programme on Advanced Statistical Tools for Analysis of Animal Breeding Data organised under the aegis of CAFT in Animal Genetics and Breeding at Division of Dairy Cattle Breeding, NDRI Karnal

March 10-30, 2011 - Ravinder MalhotraD.K. JainA.K. Sharma

18. Meeting-Cum-Workshop of Heads of Divisions and Regional Stations of ICAR Institute on

June 14-15, 2011 Institute Fund

Rajender Parsad

19. Genesis, Objective, Scope, achievement and impact of the project and Indian NARS Statistical Computing Portal at DOR, Hyderabad

July 04, 2011 0.14141 Rajender Parsad and A. Dhandapani

20. Indian NARS Statistical Computing Portal. Directorate of Sorghum Research, Hyderabad

July 04, 2011 Rajender Parsad

21. Summer School on “Decision Support System in Agriculture using Economic Tools” organized by NCAP, New Delhi

August 02-22, 2011 - Rajender Parsad

22. Refresher course on Agricultural Statistics organized at IASRI, New Delhi (Statistical Personnel of Directorates of Economics and Statistics and Ministries/ Departments of State Governments/ UTs

September 26-30, 2011 - Rajender Parsad

FINAL REPORT

69

23. Training programme on Sampling Techniques and Survey Methods for Officers of NASA, CSO, Ministry ofStatistics & Programme Implementation organized at IASRI, New Delhi

October 03-17, 2011 (lecture on 06/10/2011)

- Rajender Parsad

24. Training programme on Forecasting Techniques inAgriculture for Officersof Department of Census and Statistics, Sri Lanka organized at IASRI, New Delhi


- Rajender Parsad

25. Training programme on Quantitative Methods for Agricultural Policy Research organized under NAIP Consortium Policy and Institutional Options for Inclusive Growth at IARI, New Delhi


- Rajender Parsad

26. Winter School on Data Mining Techniques and Tools for Knowledge Discovery in Agricultural Database organized at IASRI, New Delhi

November 03-23, 2011 (lecture on 05/11/2011)

- Rajender Parsad

27. 65th Annual Conference of Indian Society of Agricultural Statistics held at NDRI, Karnal

December 3-5, 2011 0.04500 Ravinder MalhotraD.K. JainAK Sharma

28. Biennial Group Meeting of the AICRP on IFS held at CARI, Port Blair

December 27, 2011 0.47700 Rajender Parsad

29. Seminar on Genesis, Objective, Scope, achievement and impact of the project at CMFRI, Cochi

January 17, 2012 0.16200 Rajender Parsad

30. Diagnostics in Fish Health Management organized by Aquatic Animal Health and Environment Division, CIFE, Mumbai

January 10-31, 2012. - Shrinivas Jahageerdar

31. International Conference on Climate Change at New Delhi

February 07-09, 2012 0.24140 Dileep Panda

32. 42nd Annual sorghum Group Meeting held at GB Pant University of Agriculture and Technology, Pantnagar

April 28-30, 2012 0.09443 Rajender Parsad

33. 42nd Annual sorghum Group Meeting held at GB Pant University of Agriculture and Technology, Pantnagar

April 28-30, 2012. A. Dhandapani and Rajender Parsad


70

34. Study Visit on Techniques of estimation and forecasting of crop production in India for officials from Ethiopiaorganized at IASRI, New Delhi

May 23-June 01, 2012 - Rajender Parsad

35. Summer School on Forecast Modeling in Crops organized at IASRI, New Delhi

July 17-August 06, 2012 - Rajender Parsad

36. Training programme on Field Survey, Data Acquisition and Analysis organized at NCAP, New Delhi

July 21-27, 2012 - Rajender Parsad

37. Summer School on Utilization of Minor Agri -Produce to Improve Food access for Achieving nutrition Security organized at Rajasthan College of Agriculture at MPUAT, Udaipur


- Latika Sharma

38. Training programme on Agricultural Research Planning and Impact Assessment organized at IARI, New Delhi


- Rajender Parsad

39. Training programme on Market Intelligence for Agriculture Production and Processing at MPUAT, New Delhi

September 04, 2012 - Latika Sharma

40. Training programme on Statistical Models for Forecasting in Agriculture organized under the aegis of CAFT at IARI, New Delhi.


- Rajender Parsad

41. Training programme on Recent Advances in Sample Survey and Analysis of Survey Data using Statistical Softwares’ organized under the aegis of CAFT at IASRI, New Delhi


42. 2nd National Conference on Fisheries Biotechnology at CIFE, Mumbai, organized by CIFE Mumbai

November 02-03, 2012 - Shrinivas Jahageerdar

43. Training programme on Analysis of Design of Experiments using SAS organized by Indira Gandhi Agricultural University, Raipur

November 19-24, 2012 - L.M. Bhar

44. Biennial Workshop of AICRP on IFS held at ANGRAU, Hyderabad

December 13-18, 2012 0.15922 Rajender Parsad

FINAL REPORT

71

45. International Conference on Statistics and Informatics in Agricultural Research at IASRI, New Delhi and organized by IASRI, New Delhi

December 18-20, 2012 - Shrinivas Jahageerdar

46. Training programme on Recent Advances in Designing and Analysis of Agricultural Experiments organized under the aegis of CAFT at IASRI, New Delhi

January 08-28, 2013 - Rajender Parsad.

47. Training programme on Biometric Analysis Using SAS at IGKV, Raipur


- Rajender Parsad

48. Annual Review Workshop of the NAIP Component-I at NAARM, Hyderabad

March 23, 2013 0.13500 Rajender Parsad

49. 43rd Annual Group Meeting of All India Coordinated Sorghum Improvement Project held at DSR, Hyderabad

April 21, 2013 0.21557 A. Dhandapani and Rajender Parsad

50. Training programme on Recent Advances in Statistical Modeling Techniques organized at IASRI, New Delhi

May 31-June 20, 2013 - Rajender Parsad

51. International Faculty Training for Afgan Nationals on Teaching of PG Courses in Agronomy organized at Division of Agronomy, IARI, New Delhi

July 01-December 31, 2013

- Rajender Parsad

52. Training programme on Advances in Statistical Genetics organized at IASRI, New Delhi

July 02-22, 2013 - Rajender Parsad

53. Training programme on Teaching of PG in Horticulture for Afghanistan teachers organized at IARI, New Delhi

August 01, 2013-January 31, 2014

- Rajender Parsad

54. Summer School on Decision Support System in Agriculture using Quantitative Techniques organized at NCAP, New Delhi

August 02-22, 2013 - Rajender Parsad

55. Summer School on Forecast Modeling in Crops at IASRI, New Delhi


56. Training programme on Management of Plant Genetic Resources at NBPGR New Delhi



72

57. Training programme on Advances in Methodological Paradigm and Tools in Extension Research at Division of Agricultural Extension, IARI, New Delhi


- Rajender Parsad

58. Training programme on Advances in Statistical Methods for Animal Experiments organized at IASRI, New Delhi


59. Training programme on ‘Advances In Aquatic healthManagement in Finfishand Shellfish’ organized by AquaticAnimal Health and Environment Division, CIFE, Mumbai

October 11-31, 2013 - Shrinivas Jahageerdar

60. NAIP cross cutting workshop held at ISI, Kolkata

December 3-4, 2013 Rajender Parsad

61. Cross Learning Workshop held for ICT Projects at NASC Complex, New Delhi

December 06-07, 2013 - Rajender Parsad

62. Training programme on Advances in Experimental Designs for Development of Technologies in Agriculture organized at IASRI, New Delhi


- Rajender Parsad

63. STAT 2013: International Conference on Socio Economic Challenges and Sustainable Challenges organized at CR Rao AIMSCS, Hyderabad

December 28-31, 2013 - A. Dhandapani

64. Training programme on Price Forecasting Using SAS Software to train the researchers working on Network Project on Market Intelligence organized by NCAP, New Delhi

January 03-04, 2014 - Rajender Parsad

65. Subject Matter training programme for the scientists from Islamic Republic organized at Agricultural Extension Division of IARI, New Delhi

August 01, 2013-January 31, 2014 (during 3rd week of January 2014 at IASRI, New Delhi)

- Rajender Parsad

66. Training programme on Markets, Trade and Institutions for Agricultural Development organized under the aegis of CAFT at Division of Agricultural Economics, IARI, New Delhi


- Rajender Parsad

FINAL REPORT

73

16. Foreign Trainings/Visits: Not Applicable

17. Performance Indicators

Sl. No. Indicator Total Numbers

ICDS

1. No. of hits on the sub-project website per monthwww.iasri.res.in/sscnars

IP Authenticated WebsiteIndian NARS Statistical Computing Portalhttp://stat.iasri.res.in/sscnarsportal

1067 page views per month- 49,824 views on Website www.iasri.res.in/sscnars

Website registered under google analytics on November 15, 2010. Till March 31, 2014, there were 43,239 page views across 529 cities of 82 countries. Average time on page is 3.03 minutes

Total hits to the portal are: 1,97,816 since April 01, 2011 which amounts to more than 150 hits per day. Based on the user logged information, the total number of logged in users from Indian NARS since March 2012 are 24,926.

2. Number of Knowledge products developed:

a. e-coursesb. e-learning modules

a. Nilb.

- Developed 07 macros for customized analysis of data - Developed 09 e-manuals

3. Digitization of number of:a. Ph.D. Theses b. Historical publications

Not Applicable

4. Enhanced Knowledge Sharing and public Awareness activities carried

For sensitization of researchers in NARS during this period- E-mails regarding availability of high-end statistical computing

environment and Indian NARS Statistical Computing Portal have been sent to more than 3500 researchers.

- NodalOfficers have been requested to provide a link of theproject websites on LAN of their respective organizations.

- 519 participants were sensitized through 19 sensitization training programme-cum-workshops.

- 04 special sessions were organized at NARS organizations.- 03NodalOfficersorganizedtrainingprogrammesand03nodal

officersorganizedsensitizationtrainings- 799 scientists sensitized through FOCARS training programmes

and 211 scientists through Refresher Courses conducted at NAARM, Hyderabad about data analysis using SAS

5. Development of linkages with a. National organisations b. International organisations

a. National Organizations Implemented in 3-tier structurewithfirst tier as lead centre,

08 NARS organizations as Statistical Computing Hubs at second tier and third tier as 142 other NARS organizations as nodes. As a consequence linkages were established with 151 NARS Organizations

(http://www.iasri.res.in/sscnars/Nodal_Officers.aspx)


74

− SignedMOUwitheachNARSorganizationsfortheenhancedusage of the environment created which has resulted into effective collaboration between all NARS organizations;

− Software procured is installed at 151 NARS organizations:more than 2750 Computers (average more than 18 machines per NARS Organization).

All India Sorghum Improvement Project, Directorate of Sorghum Research, Hyderabad

− Prototype for creation of research data repository andstandardization of analysis of data for All-India Coordinated Sorghum Improvement Project and made available at www.aicsip.naarm.org.in

b. Nil 6. No. of articles downloaded from

CeRA subscribed publishersNot Applicable

7. Training of critical mass (no. of experts trained)

2785- 209 trainers through 30 working days training programmes- 2166 researchers through 104 one week training programmes - 164 scientists trained in the training programmes organized

by TNAU, Coimbatore, NRC AF, Jhansi and IGKV, Raipur.- 246 Research Scholars/RA/SRFs

8. Number of scientists trained overseas in the frontier areas of science

There is no provision of overseas training in the consortium.

9. Number of scientists trained overseas in consortium-based subject areas

There is no provision of overseas training in the consortium.

10. Number of novel tools/protocols/methodologies developed for research

02

Indian NARS Statistical Computing Portal http://stat.iasri.res.in/sscnarsportal

24 modules of data analysis through service orientede computing mode. The data can be analysed by uploading *.xls,*.xlsx,*.csvand*.txtfilesinIndianNARSStatisticalComputing Portal.

Developed prototype for creation of research data repository and standardization of analysis of data of All India Coordinated Sorghum Improvement Project and made available at www.aicsip.naarm.org.in.

11. Publications Number of peer reviewed research papers NAAS rated journals published in high impact international journals based on NAIP research (NAAS rating ≥ 6.0)

135 research papers by researchers across NARS as a consequence of availability of high end statistical computing facility and capacity building (in 29 of these research papers CPI/CCPI/Co-PIs are authors). The list has been given in item number 12.

FINAL REPORT

75

Other journals 125 research papers by researchers across NARS as a consequence of availability of high end statistical computing facility and capacity building

Book Nil

Book Chapters 04

Thesis This high end statistical computing facility has also been used in data analysis of 300 dissertations.

Popular Article (English) Two (ICAR News)

Popular Article in other Languages Nil

Newspaper Articles

Seminar/Symposium/Conference/Workshop Presentation

14

Seminar/Symposium/Conference/Workshop Proceedings

Nil

Technical Bulletin - Bulletin on Indian NARS Statistical Computing Portal (2012). IASRI, New Delhi

- Quick Reference Guide: Installation, Maintenance and Trouble Shooting (2013). IASRI, New Delhi;

- Installation Manual for SAS 9.3 (2013). CIFE, Mumbai

Manual 12 (out of which 09 are also in e-manual form)

Seminar/Symposium/ Conference/Workshop Presentation

67

CDs/Videos Video Lectures: 6CD: 300

Popular Article in other Language Nil

Folder/Leaflet/Handout - 1500 Project Pamphlets- 200 brochures on announcement of Data Analysis in Social

Sciences Research using SAS- 200 brochures on announcement of Data Mining Using SAS- 200 brochures of Data Analysis using SAS along with e-copy- 500 Bulletins on Indian NARS Statistical Computing Portal

along with e-copy- 15 copies of Quick Reference Guide: Installation, Maintenance

and Trouble Shooting along with e-copy; - 25 copies of Poster on Indian NARS Statistical Computing

Portal along with e-copy and - 05 copies of Installation Manual for SAS 9.3 along with e-copy

Reports 173 Research Reports


76

Success stories(Please give separate write up for each success story)

- Based on feedback received from NARS organizations, 173 research reports, 260 research papers have been published/ accepted for publication (in journals like Animal Food Science and Technology, Field Crops Research, Journal of Food Engineering, Euphytica, Journal of Applied Polymer Science, etc.) by analysing the data using high end statistical computing facility; more than 300 students have used this in their dissertations; 1700 students have used in their course work. The number of data sets analyzed is more than 6000 across NARS;

- NodalofficerfromCMFRI,Kochihasreportedsaving of 20 man months in compilation of data related to Marine Fish Household Census 2010 consisting of 10 lakh households with 16 attributes;

- Website of the project is being maintained and updated regularly. Website was registered under google analytics on November 15, 2010. Till March 31, 2014 there were 43,239 page views across 529 cities of 82 countries. Average time on page is 3.03 minutes;

- Number of hits at Indian NARS Statistical Computing Portal since April 01, 2011: 1,97,816 which amounts to more than 150 hits per day. Based on the user logged information, the total number of logged in users from Indian NARS since March 2012 are 24,926.

18. Employment Generation (man-days/year): Not applicable

19. Assets Generated (Details to be given on equipments and works undertaken in the sub-project, costing more than ̀ 10,000/- in each case)(i) Equipment

S. No.

Name of the Equipment with Manufacturers Name, Model and Sr. No.

Year of Purchase

Quantity (Nos.)

Total cost (`) in lakhs

Responsible Partner

1. ServerManufacturer: DELL SERVERModel: POWEREDGE 1950Sr. No. 88Q132S/792438389

2009-10 01 2.59680 Statistical Computing Hub-1:IASRI, New Delhi

2. Computer System: Desktop Computer P IV Manufacturer: DELL OPTIPLEX;Model: PVI-VPRO CONFIGSr. No. 780441656139C4BS, 239C4BS, 339C4BS, 439C4BS, 539C4BS, 639C4BS, 739C4BS, 839C4BS, 939C4BS, B39C4BS, C39C4BS, D29C4BS, D39C4BS, F29C4BS, F39C4BS, G29C4BS, G39C4BS, H29C4BS, H39C4BS, J29C4BS

2009-10 20 9.74040

FINAL REPORT

77

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

3. Laser Printer Manufacturer: SAMSUNGModel: CLP-610NDSr. No. 14H5B1BS900049

2009-10 01 0.27924

4. Scanner Manufacturer: Hawlett PackardModel: G2410Sr. No. CN949S610Y, CN949S609N

2009-10 02 0.05448

5. Essential software Manufacturer: MSOffice2007(Professional)EnglishPackaged (Academic Version)

2009-10 20 1.02000

6. Essential software Manufacturer: Adobe CS4 Design premium 4.0 Academic License

Adobe Acrobat Professional 9 Academic License

Norton internet Security 2010 (1 user pack for 1 year) or latest with 3 year subscription CD (License Expired on 30.3.2013)

Norton Ghost 15.0 CD

2009-1003

03

10

02

1.89525

7. LAPTOPManufacturer: DELL LATITUDE;Model: E-6400Sr. No. 834Q3BS

2009-10 01 0.72829

8. Photocopy Machine(Heavy Duty)Manufacturer: TOSHIBA E STUDIO;Model: 282 ASUSr. No. CUD954950

2009-10 01 1.54739

9. UPS Heavy Duty for Computer labManufacturer: TRITRONICS (INDIA) PVT. LTD;Model: 10 KVA Sr. No. A11810709

2009-10 01 2.10584

10. UPS Heavy Duty for serverManufacturer: TRITRONICS (INDIA) PVT. LTD;Model: 5 KVA Sr. No. A11360709

2009-10 01 1.25452


78

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

11. Air Conditioners Manufacturer: Voltas SplitModel: Vertis GoldSr. No. 4551135P10C007156; 4551135P10B004057; 4551135P10B003985; 4551135P10B003854;

2009-10 04 1.37400

12. Internet Connectivity / Bandwidth ChargesManufacturer: Qi-Networking Enterprise Pvt. Ltd.

2009-10 01Job 6.29224

13. LCD ProjectorManufacturer: HITACHI;Model: CPX-401Sr. No. F9BS01878

2009-10 01 0.86635

14. Digital cameraManufacturer: SONY;Model: DSC-H20/BC E32Sr. No. 2349293

2009-10 01 0.17800

15. Bandwidth ChargesManufacturer: TATA Indicom

2010-11 -- 1.27465

16. SAS Software Manufacturers: SAS Institute India Ltd.(150 licenses (100 Standalone and 50 Intranet Based) + SAS Enterprise Business Intelligence Server with all modules of SAS Intranet) . The software depot was handed over to nodal officers from 151 NARSorganizations with an undertaking that they will get store entry done at their respective organizations

2010-11 151 820.00 *

17. LCD ScreenManufacturer: SONYModel: EX520- 46”Sr. No 2425880

2011-12 01 0.80090

18. Stereo Head SetManufacturer: LogitechModel: H110

2011-12 21 0.06836

19. WebcamManufacturer: LogitechModel: C270+Mono Headset FE

2011-12 21 0.27893

* Out of 820.00 lakhs, Rs. 718.00 lakhs is for software component and Rs. 102.00 lakhs were paid to Vendor Company as Training Component Total 852.35564

FINAL REPORT

79

HUB -2

S. No.

Name of the equipments with manufacturers name, model and Sr. No.

Year of purchase

Quantity (Nos.)


Responsible Partner

1. Laptop+MSOffice2007Manufacturer: Hewlett PackardModel: HP 4411s (VK124AV)Sr. No. SCNU0106CK3

2009-10 1+1 0.75276 Statistical Computing Hub-2:NDRI, Karnal

2. ComputerSystem+MSOffice2007Manufacturer: Hewlett PackardModel: HP DC 7000 INTEL VPROSr. No. SGH001R; 42K, 43G, 43M, 42N,40Q,43B,41S,40K.40Z and 40X

2009-10 10 + 10 5.05030

3. PrinterManufacturer: Hewlett PackardModel: HP Laserjet 315 DnSr. No.VNBJ98T068

2009-10 01 0.33290

4. ScannerManufacturer: Hewlett PackardModel: HP Scanjet 5590Sr. No. CN994VH022

2009-1001 0.21705

5. Xerox MachineManufacturer: Canon India Pvt. Ltd.Sr. No. EQM00593

2009-10 01 1.02410

6. LCD ProjectorManufacturer: SHARPModel: Sharp Projector XR-32XSr. No. 906912899

2009-10 01 0.77500

7. Air ConditionerManufacturer: VoltasModel: Voltas Vertis Window Air Condi-tionerSr. No.4010898P09K0015044010898P01K001521

2009-10 02 0.53980

8. UPSManufacturer: Uniline Energy Systems Pvt. Ltd.Model: 5 KVA Online UPS SystemSr. No. UL-C/O-068

2009-10 01 1.25500

Total 9.94691


80

HUB -3

S. No.

Name of the equipments with manufacturers name, model and Sr. No.

Year of purchase

Quantity (Nos.)

Total cost (`) in Lakhs

Responsible Partner

1. Digital copier with PrinterManufacturer: ToshibaModel: e STUDIO167 Sr. No. CWG 981339

2009-10 01 0.96173 Statistical Computing Hub-3:IVRI, Izatnagar

2. LCD multimedia Manufacturer: Hitachi Model: CP-X417Sr. No. FOA007058

2009-10 01 0.74925

3. Online UPS- Manufacturer: PulsetechModel.: 5 KVA I.G.B.T. Based Sr. No. V C 10

2009-10 01 0.83000

4. InfinitiSeriesDesktopComputerManufacaturer: Intel V Pro HCLModel: Intel V ProSr. No. 3106AA11 7364, 72, 73, 76, 77, 79, 85; 3106AA117405, 06 , 13

2009-10 10 4.06810

5. Window AC (2 ton)Manufacturer: LGSr. No. 004DRLY005072, 002DRUF001798Automatic Voltage Stablizer (5 KVA) Blue Max

2010-11 02 0.61300

6. LaptopManufacturer: Hawlett PackardModel: Pro Book 4411sIntel Core2 Duo

2010-11 01 0.70346

7. Colour Printer Lazer Magiccolor 1690 MF Manufacturer: Magiccolor Model: 1690 MF Konika MinoltaSr. No. AOHF042006891

2010-11 01 0.49560

8. ServerManufacturer: HCL Model:HCL/InfinitiGlobalSr. No. 4121Ag212850

2012-13 01 1.46381

Total 9.88495

FINAL REPORT

81

HUB-4

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

1. On line UPS Manufacturer: Power +Model: 5.0 KVASr. No. ADS 2014T

2009-10 01 0.78832 Statistical Computing Hub-4:MPUAT, Udaipur

2. HP DC7800 Desktops(NA343PA) Manufacturer: Helwett Packard Model: dc 7000 SeriesSr. No. CNT9375BX2; CNT93850SZ; CNT93758JZ; CNT9375CTP;CNT9375BWX; CNT93758HR;CNT93755N7 ; CNT93752PV;CNT93753F7; CNT93850T3

2009-10 10 3.84950

3. Graphic accelator cards, PCI express 256 MB,Manufacturer: Helwett Packard India Sales PVT LTD.

2009-10 10 1.18700

4. RAM 2GB DDRManufacturer: Helwett Packard India Sales PVT LTD.

2009-10 10

5. Anti-virus SoftwareManufacturer: Symantech end point protection.

2009-10 10

6. DVD Writer In Liu OF DVD ROM 2009-10 10

7. HDD 500 GBManufacturer: Helwett Packard India Sales PVT LTD.

2009-10 02

8. 10 Card Pci Wireless 108 MBPS + one TP-LINK

2009-10 10 0.18500

9. Laptop Manufacturer: Helwett Packard , Modal No. Probook 4411SS.No.-CNU9487GJ8

2009-10 01 0.70526

10. ScannerManufacturer: Helwett PackardModel: 2410Sr. No. CN99AV2082

2009-10 01 0.04400


82

11. Printer Manufacturer: CanonSr. No. EKQ-04700

2009-10 01 0.22800

12. Essential SoftwareManufacturer: Microsoft office 2007academic molp.

2009-10 11 0.49992

13. Xerox machineManufacturer: Xerox India LTDSr. No. 3317178645

2009-10 01 0.52786

14. LCD ProjectorManufacturer: EPSONSr. No. KYWF050058L

2010-11 01 0.74784

15. 2 Air- conditionerManufacturer: Hitachi Home & Life Solution LtdModel: RAU018HODZ2Sr. No. RAS016HQDG_SE100H00691 RAS018HQDG_SE100H00058

2010-11 02 0.52812

Total 9.29082

HUB-5

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

1. Server Window 2008 Server packManufacturer: Microsoft license no. 67424452ZZE1209Model: WinSvrStd 2008R2 SNGL

2009-10 01 0.11000 Statistical Computing Hub-5:DWM, Bhubaneswar

2. Desktop Computer System PC/HP 1859m with 512 MB graphics card/extra 2GB DDRRAM/DVDwriter/MSOffice2007Manufacturer: Hewlett Packard Model: PIV Computer System PIV- Desktop Sr. No: INA0230H8W, INA0230HD3, INA0230HG9, INA0230HDN, INA0230HFX, INA020063F, INA020064C, INA020064D, INA0200644, INA0230H99

2009-10 10 4.53500

FINAL REPORT

83

3. Laser Printer Manufacturer: HPModel: CP1215Sr. No. CNDJB46024

2009-10 01 0.17580

4. ScannerManufacturer: HP Scanjet Model: G3110 (scanner)Sr. No: CN9AA50DK L2698-64001

2009-10 01 0.11800

5. Laptop Computer with additional GBRAM/ SonyManufacturer: SonyModel: E Series VPCEB1AGG Sr. No. 275065747000604

2009-10 01 0.73268

6. Photocopier MachineManufacturer: Toshiba Model:eStudio207Sr. No: OSL958800

2009-10 01 0.85800

7. UPSManufacturer: Uniline Model: KVASr. No: UL-C10-412

2009-10 01 0.98644

8. Air Conditioners Manufacturer: LG 1.Model: Split AC Sr. No. 002ABYG00250 and2.Model: Window AC Sr. No: 002DRRK002670

2009-10 02 0.58800

9. LCD Projector with ceiling mounting kid/screen/RGB Cable/ Make with remoteManufacturer: HitachiModel: CP-X450, Sr.No. F9LU01583

2009-10 01 1.01250

10. Digital Camera Cybershot-Manufacturer: SonyModel: DSC-HX7V

2011-12 01 0.13600

Total 9.23242


84

HUB-6

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

1. Computer System PIV- and essential software(withMSOffice,etc.)Manufacturer: HP;Model: HP Compaq dc7900 Convertible MinitowerSr. No. INA94402Z9, INA94402YP, INA94402YS, INA94402Z8, INA94402Y7, INA94402Z1, INA94402ZF, INA94402YB, INA94402YC, INA94402Z4

2009-10 10 6.46470 Statistical Computing Hub-6:ICAR Research Complex for NEH Region, Barapani

2. Laser Printer Manufacturer: HP;Model: HP Laser Jet P1007Sr. No. VNF8P05739

2009-10 01 0.05475

3. Flatbad Scanner HPManufacturer: HP;Model: G2410 (HP Scanjet)Sr. No. CN961S60WK, CN969S62CJ

2009-10 02 0.05448

4. LAPTOPManufacturer: DELL;Model: Dell LatitudeSr. No. E 6400

2009-10 01 0.73774

5. Photocopy with CVTManufacturer: SHARP;Model: AR-5520DMachine No. 93048585

2009-10 01 0.99853

6. UPS Heavy Duty for labManufacturer: APC;Model: 5000 UXISr. No. LR63938

2009-10 01 0.91050

7. Color PrinterManufacturer: HP;Model: LJ 1515nSr. No. CNDJ9920PL

2009-10 01 0.19963

8. LCD Projector/screenManufacturer: SANYO;Model: PLC-XU75ASr. No. 69402355

2009-10 01 0.79900

9. Total (1 to 8) 10.2193310. Additional Taxes @ 4% 0.4087711. Total (9+10) 10.62810

12. Networking and Installation charges 0.1000013. Total (11+12) 10.72810

FINAL REPORT

85

14.Air Conditioners Manufacturer: LG Model: LSA18PWABH1.AN43DU5(II)Sr. No. 908NLKL000741

2009-10 01 0.33490

Total Total (13+14) 11.06300HUB-7

S. No.


Year of Purchase

Quantity (Nos.)


Responsible Partner

1. LCD ProjectorManufacturers: Epson projector Model:EB-W6Sr. No. L6KF950061L

2010 01 0.79324 Statistical Computing Hub-7:UAS, Bengaluru

2. Online UPS with isolation transformer Manufacturers: DELTA Model: 5.0KVA,Sr.No..AOT10100085WQ

2010 01 0.83000

3. Lazer PrinterManufacturers: HP Model: LaserJet P2055dn Sr.No. CNCK217524

2010 01 0.20877

4. AIR-ConditionersManufacturers: Voltas HP Model: 1.5TR Vertis 3 Star Split Air-Conditioners Sr. No. 4551120G10A038892 4551120G10A034616

2010 02 0.58490

5. Digital Copier with printer Manufacturers: Voltas HP Model: WC5020DN 1Sr. No. 00340020154

2010 01 0.97531

6. Computer Note book Intel core 2 DuoconfigurationManufacturers: DELL LatitudeModel: E-6000 SeriesSr. No. 35185396024

2010 01 0.70526

7. DesktopComputers(intelVConfiguration,graphic accelerator card, DVD Writer, RAM2GBDDR2667,MSOffice2007)Manufacturers: DELL LatitudeModel: E-6000 SeriesSr. No. 8419314088; 36596552104; 38773334440; 34419769768; 6242531752; 12772878760; 43126899112; 10596096424; 14949661096; 4065749416

2010 10 6.46470

8. HP scanner Manufacturer: Hawlett PackwardModel: G 3110

2009-10 01 0.086840

Total 10.64902


86

HUB -8S.

No.Name of the equipments with manufacturers name, model and Sr.No.

Year of Purchase

Quantity (No.)

Total Cost (`) in lakhs

Responsible Consortium

1. Desktop PC Manufacturer: Dell Model : Optiplex 780Sr. No. 10508663080; 25746139432; 30099704104; 34453268776; 14862227752; 19215792424; 21392574760; 36630051112; 17039010088; 12685445416

2010 10 5.88976 Statistical Computing Hub-8:NAARM, Hyderabad

2. Laptop computer Manufacturer: Dell Model: Inspiron 1545Sr. No. S/N-DFWT4BS; P/N-C985PA01

2010 01 0.46000

3. Laser printerManufacturer: HPModel: LJp2055 dn Sr. No. CNCKS00219

2010 01 0.37403

4. Flatbad Scanner Manufactuarer: Hawlett PackwardModel: G3110 Sr. No. CN99AA505B

2010 01 0.09905

5. Online UPS APC 5 KVA Manufacturer: SURTD Model: 5000UXISr. No. JS-0827000709

2010 01 0.81530

6. LCD projector Manufacturer: Sharp Model: PG-F312XSr. No. GC 90069S16236

2010 01 0.82405

7. Photocopier Manufacturer: Sharp Model: AR 5520 N Sr. No. 93037237

2010 01 1.16759

8. Split AC Manufacturer: LG with unistab stabilizerModel: LSA-6C2VF2 US 500BSr. No. 910NLSH004110; 910NLDA003562

2010 02 0.63420

Total above: A. 10.263984% Taxes over A: 0.41056

Total 10.67454

FINAL REPORT

87

HUB-9S.

No.Name of the Equipment with Manufacturers Name, Model and Sr. No.

Year of Purchase

Quantity (Nos.)


Responsible Partner

1. Desktops including MS Office andAntivirusManufacturer: LENOVO Model: LENOVO Small Form FactorSr. No. L911172; L911173; L911174; L911175; L911176; L911177; L911178; L911179; L911180; L911181 (Rs. 5.26181) (*MSOfficeAcademiclicense(11No.Rs. 0.44564)** Antivirus with three years license (11 No. Rs. 0.12650)

2009-10 10 5.26181+ 0.44564+ 0.12650=

5.83395

Statistical Computing Hub-9:CIFE, Mumbai

2. Laptop and 2GB RAM Manufacturer: Dell Model: Dell latitude E-6400Sr. No. (1) 35BX4BS

2009-10 01 0.78074

3. Color Laser printerManufacturer: HP Model: HP Color Laserjet CP1515NSr. No. CNDJ9DK097

2009-10 01 0.18720

4. ScannerManufacturer: HP Model: HP Scanner G3110Sr. No. CN9ASA50HT L2698-64001

2009-10 01 0.11990

5. Copier MachineManufacturer: Canon Model: IR2018NSr. No. EQV09987

2009-10 01 1.00500

6. LCD ProjectorManufacturer: Epson Model: EB 1725Sr. No. KYWF990078L

2009-10 01 0.94747

7. Air ConditionersManufacturer: Samsung Model: 2.0 Ton Split AC Sr. No. A311PZLSA00133; A311PZLSA00428

2009-10 02 0.66097

8. 5 KV UPS with batteries Manufacturer: Power Gun Systems Pvt. Ltd.Model: 5 KVSr. No. PGNRV/09/A12/302

2009-10 01 0.88810

9. External Hard Disk# 320GB

2009-10 01 0.04000

Total 10.46333


88

(ii) Works

S. No.

Particulars of the Work, Name and Address of Agency Awarded the Work

Year of Work Done

Quantity (Nos.)

Total Cost(`) in lakhs

Responsible Partner

HUB-1

1. Computer Table (Making& Fixing)Awarded Agency: M/s Narinder Kumar & SonsPlot no.-8, Blind Colony, Tatar Pur, Tagore Garden,New Delhi-110027 (same is for items 2 to 22)

2009-10 17.21 m2 10.92711 Statistical Computing Hub-1: Lead CentreIASRI, New Delhi

2. Computer Revolving Chair 30

3. Executive Revolving Char 01

4. Partition 24.72 m2

5. Pin Board 2.82 m2

6. Electric Work 01 job

7. Painting (Plastic) 555.10 m2

8. Wooden Storage 5.56

9. Wooden Reception Counter 1.30

10. Tea counter 0.92

11. Wooden 2 seater settee 04

12. Centre table with top glass 01

13. Wooden side table 02

14. Paneling wooden door 14.02 m2

15. Wooden drain covering 2.00 m2

16. Display board 1.85 m2

17. Removing of PVC Partition 18.30 m2

18. Floor tiles 239.69 m2

19. Steel work painting 24.50 m2

20. Wire mashed cover to AC 05

21. Conference chair 06

22. Brick Wall 18.30 m2

FINAL REPORT

89

23. Pedestal Fan (Crompton Greaves)Awarded Agency: M/s Kalinga International 5/1 &5/7 West Patel Nagar, New Delhi-110008

2010-11 03 0.04875

24. Aluminum Work WindowsAwarded Agency: M/s Aditya Total Space Solutions, A-7, Mayapuri Industrial Area, Phase-I, New Delhi-110 064

2010-11 2.17140

25. Aluminum Work 2.66+7.35 m2

26. Wall Paneling 76.66 m2

27. AC Pipe Paneling 3.39 m2

28. Blinds for Windows 18.88 m2

29. Shelf Support 01 job30. Motarized Screen size 5 × 7

M/s Jagdamba Enterprises CD-35-A, Hari Nagar, New Delhi-110064

2010-11 01 0.16813

31. Aluminum Work DoorAwarded Agency: M/s Aditya Total Space Solutions, A-7, Mayapuri Industrial Area, Phase-I, New Delhi-110 064

2011-12 2.777 m2 1.50215

32. Aluminum Work Windows 2.689 m2

33. Blinds for Windows 35.00 m2

34. Wooden Window 02 35. Repairs-paint and polish 01 job

Total 14.81754HUB-2

S. No.


Year of Work Done

Quantity (Nos.)


Responsible Partner

1. Electricity Works Awarded Agency: M/s H.M. Engineers, 18, M.W. Industrial Area, Phase-1, Chandigarh

2010-11 NA 0.76175 Statistical Computing Hub-2:NDRI , Karnal

2. Civil Works (Armsrong mineral fiberceiling tiles)Awarded Agency: M/s Gurmukh Singh, Govt. Contractor, H.NO. 1722, Shanti Nagar, Gali no. 3, Karnal

2010-11 NA 0.38234

Total 1.14409** Rs. 1.00000 lakhs was booked from the project for the works, balance Rs. 0.14409 was met by NDRI, Karnal


90

HUB-3

S. No.


Year of Work Done

Quantity (Nos.)


Responsible Partner

1. PVC Flooring,Awarded Agency: M/s Ashoka Foam, Civil Lines, Bareilly.

2010-11 350.68 sq.ft 0.14953 Statistical Computing Hub-3:IVRI, Izatnagar

2. Renovation & repairing work plywood with sunmica paste in room no.409.Awarded Agency: M/s Aman Traders, Beharipur, Bareilly.

2011-12 01 job 0.19000

3. Minor work of Committee RoomAwarded Agency: M/s. Aman Traders, Beharipur, Bareilly.

2011-12 01 job 0.17000

4. Vertical Blinds & White Boards.Awarded Agency: M/s Mahavir Enterprises, 106/6,Civil Lines, Bareilly.

2011-12 01 job 0.19637

Total 0.70590

HUB-4

S. No.


Year of Work Done

Quantity (Nos.)

Total Cost( `) in lakhs

Responsible Partner

1. Renovation/ Miscellaneous workAwarded Agency: M/s Vivek Construction, Udaipur

2009-10 01 job 0.36086 Statistical Computing Hub-4:MPUAT, Udaipur

2. Almirah shutter, Awarded Agency: M/s Raj Laminate, Udaipur

01 work 0.30543

3. Repair & Maintenance work, Awarded Agency: M/s Vivek Construction, Udaipur

0I job 0.02850

Total 0.69479

FINAL REPORT

91

HUB-5

S. No.


Year of Work Done

Quantity (Nos.)

Total Cost( `) in lakhs

Responsible Partner

1. ElectrificationAwarded Agency: Sri. H.K Satapathy, Plot No 1298/2918, Kaliparasad, Sundarpada, Bhubaneswar

2009-10 01 job 0.81617 Statistical Computing Hub-5:DWM, Bhubaneswar

2. Flooring and Tiling 1000 sq. ft.

3. Networking of 10 Computers 1

4. ModificationandFalseCeiling 480 sq.ft.

5. Fixing of Computer Tables 150 sq.ft.

6. Applying 2 coats of acryulic emulsion paintover poly mer base wall puty and primer

1272 sq.ft.

7. Removing existing partition wall and wall tile from the room

L.S

Total 0.81617

HUB-6

S. No.

Particulars of the work, name and address of agency awarded the work

Year of work done

Quantity (Nos.)

Total Cost (`) in lakhs

Responsible Partner

1. ElectrificationAwarded Agency: SCORD Marketing &Consultancy,Regd.Office:Kahilipara,Guwahati-18.

2009-10 01 job 0.20000 Statistical Comput-ing Hub-6: ICAR RC for NEH Region, Barapani

2. CarpetwithfittingandfixingchargeAwarded Agency: Hanumanbux Motilal, Police BazShillong - 793001

2009-10 400 sq. ft. 0.20600

3. Photofilm including fixing and deliverycharges Awarded Agency: M/S Kharmawphlang, Mawlai Phudmuri, Shillong 793008

2009-10 185 sq.ft. 0.12000

4. Phillips Water Purifier with installationand delivery chargesAwarded Agency: Wheels and Wares, Opposite: Bawri Mansion, Dhankheti, shillong 793001

2009-10 01 job 0.09495


92

5. Installation and delivery charges of PhillipswaterpurifierAwarded Agency: Wheels and Wares, Opposite: Bawri Mansion, Dhankheti, Shillong 793001

2009-10 One job 0.00500

6. LG Vacuum CleanerAwarded Agency: Wheels and Wares, Opposite: Bawri Mansion, Dhankheti, Shillong 793001

2 0 0 9 - 1 0 01 0.07990

7. Phillips Tube 40 wt., Choke 40 wt., 16 A. socket, starter, etc .Awarded Agency: M/s Roshni, Poloce Bazar, Shillong- 793001

2 0 0 9 - 1 0 0.05001

8. Extension cord, patch cable, connectors, joints/arms, switches, CAT 6 Awarded Agency: M/s SCORD Marketing&Consultency,REGd.Office:Kahilipara, Guwahati-18.

2 0 0 9 - 1 0 0.02400

9. Carpet including delivery and fixingcharge Awarded Agency: M/s Hanumanbux Motilal, Police BazShillong - 793001

2 0 0 9 - 1 0 300 sq.ft. 0.15450

10. Curtain including stitching charge Awarded Agency: M/s Hanumanbux Motilal, Police BazShillong - 793001

2 0 0 9 - 1 0 20 m(10 pcs.)

0.03500

Total 0.96936

HUB-7

S. No.


Year of Work Done

Quantity (Nos.)

Total Cost(`)in lakhs

Responsible Partner

1. LayingofVitrifiedTilesAwarded Agency: M/s M.K. Gururaj, PWD Contractor, 426, IV stage, IV Main, Raja Rajeswarinagar, BEML Layout,Blore-98

2011 71.66 m2 0.76103 Statistical Computing Hub-7:UAS, Bengaluru

2. Door Partitioning 2011 4.46 m2 0.13826

3. Pre-polished Granite 2011 2.33 m2 0.04436

Total 0.94365

FINAL REPORT

93

HUB-8

S. No.


Year of Work Done

Quantity (Nos.)

Total Cost(`)

Responsible Partner

Nil Nil Nil Nil Nil Statistical Computing Hub-8:NAARM, Hyderabad

HUB-9S.

No.Particulars of the work, name and address of agency awarded the work

Year of Work Done

Quantity (Nos.)


Responsible Partner

1. Cat Cables Surface boxes etcAwarded Agency: M/s ACMA Computers Ltd.Andheri (E), Mumbai-93

2009-2010 0.12824 Statistical Computing Hub-9:CIFE, Mumbai

2. Mirror Optic Tubes SetAwarded Agency: M/s Kent Electricals,Shop No. 809, JP RoadAndheri (W), Mumbai-53

2010 07 0.12950

3. Aluminum Window WorkAwarded Agency: M/s Technoform Andheri (E), Mumbai-59

2010 0.23737

4. Alteration of Table 2010 0.100005. Providing and Fixing of wooden key

Board, drawer etc.2010 0.14750

6. 16 port DLink Switch (Net connection)Awarded Agency: M.s ACMA Computers Ltd., Andheri(E), Mumbai-93)

2010 0.03200

7. Labor Charges for laying the cablesAwarded Agency: S.M. Telecom, Mumbai-55

2010 0.02900

8. Net SwitchesAwarded Agency: Sun Signs Systems, Mumbai-7

2010 0.01100

9. 10 and 25 MM pipesAwarded Agency: Shree Bhairav Electrical and Hardware Stores, Mumbai-61

2010 0.00225

10. Electric Switches etcAwarded Agency: Kent Electrical, Mumbai-53

2010 0.01140

11. PaintsAwarded Agency: Shree Bhairav Electrical and Hardware Stores, Mumbai-61

2010 0.02385


94

12. Labor charges for paintingAwarded Agency: Suman Constructions, Mumbai-81

2010 0.03500

13. Rack for net switchesAwarded Agency: Sun Signs Systems, Mumbai-7

2010 0.05500

Total 0.94211

(iii) Furniture

HUB-2Sr. No.

Particulars of the furniture with manufacturers name and model

Year of purchase

Quantity (Nos.)


Responsible Partner

1. Revolving ChairAwarded Agency: Godrej & Boyce Mfg. Co. Ltd.Model No. :Pen-5D02R

2009-10 12 0.37200 Statistical Computing Hub-2:NDRI, Karnal

2. Computer TableAwarded Agency: Godrej & Boyce Mfg. Co. Ltd.Model No. : C-9

2009-10 12 0.37680

3. Steel CupboardAwarded Agency: Godrej & Boyce Mfg. Co. Ltd.ModelNo.:Stormelflash

2009-10 01 0.12300

Total 0.98078

HUB-3Sr. No.

Particulars of the furniture with manufacturers name and model

Year of purchase

Quantity (Nos.)


Responsible Partner

1. Computer TableAwarded Agency: M/s Koohinoor Furniture, Tabrinath Complex Macnair Road, Bareilly

2010-11 10 (3’x2’)0.98972 Statistical

Computing Hub-3:IVRI, Izatnagar

2. Computer Chairs Awarded Agency: M/s Koohinoor Furniture, Tabrinath Complex Macnair Road, Bareilly

2010-11 20

3. Staff ChairAwarded Agency: M/s Koohinoor Furniture, Tabrinath Complex Macnair Road, Bareilly

2010-11 03

4. Executive ChairAwarded Agency: M/s Koohinoor Furniture, Tabrinath Complex Macnair Road, Bareilly

2010-11 01

Total 0.98972

FINAL REPORT

95

HUB-4S.

No.Particulars of the furniture with manufacturers name and model

Year of purchase

Quantity (Nos.)


Responsible Partner

1. Revolving Chairs Low back with back push SystemAwarded Agency: Vinayak, Udaipur

2009-10 11 0.30723Statistical Computing Hub-4:MPUAT, Udaipur

2. Computer tables (3’x2’x2.5’)Computercumofficetable(4’x2’x2.5’)Awarded Agency: Vinayak, Udaipur 2009-10

10 (Rs. 0.34200)01(0.05415)

0.39615

3. Aluminium partitionAwarded Agency: Raj Aluminiums & Iron Traders, Udaipur

07.01. 2010

103.57 sq.ft. @ 230/

0.23821

Total 0.94159

HUB-5

S. No.


Year of purchase

Quantity (Nos.)


Responsible consortium

1. Computer table size: 3 ft. X 2 ft.Awarded Agency: M/S Tarini Enterprises, 570, Lewis Road, Bhubaneswar-19

2009-10 01 0.82412 Statistical Computing Hub-5:DWM, Bhubaneswar

2. Computer chair (manual revolving) Awarded Agency: M/S Tarini Enterprises, 570, Lewis Road, Bhubaneswar-19

2009-10 24 0.06603

Total 0.89015

HUB-6S.


Year of purchase

Quantity (Nos.)

Total cost (`)in Lakhs


1. Particular: Computer table size: 3 ft. X 2 ft. Awarded Agency: M.B. Furniture, Opp. UCO Bank, Mirullah Building, G.S. Road, Shillong 793001

2009-10 12 0.24000 Statistical Computing Hub-6:ICAR RC for NEH Region, Barapani

2. Particular: Computer chair (manual revolving)

2009-10 22 0.30580

3. Particular: Book case, size: 66’’×33’’×12’’ 2009-10 03 0.138004. Particular: Executive Chair 2009-10 04 0.198005. Particular: Executive Chair 2009-10 02 0.100006. Particular: Transportation of the furniture

from Shillong to ICAR, Barapani.2009-10 2 times 0.01750

Total 0.99930


96

HUB-7S.


Year of Purchase

Quantity (Nos.)

Total cost (`)in Lakhs


1. Steel Almirah 2010 01 0.0 8550 Statistical Computing Hub-7:UAS, Bengaluru

2. Computer chair 2010 20 0.600083. Computer table with key board and CPU 2010 10 0.258754. Plain Table 2010 03 0.045565. Chair with perforation &with arm 2011 01 0.00965

Total 0.99954

HUB-8S.

No.Particulars of the work, name and

address of agency awarded the workYear of

PurchaseQuantity

(No.)Total Cost

(`) in Lakhs

Responsible Consortium

1. Tables 2010 18 0.99700 Statistical Computing Hub-8:NAARM, Hyderabad

2. Stool 2010 1

HUB-9S.


Year of Purchase

Quantity (Nos.)

Total cost(`)in Lakhs


1. Storewel PlaneManufacturer: Godrej Awarded Agency: M/s Storevise Equipments Company, Goregaon (W), Mumbai-04

2010 01 0.13383(12895.00*a)

Statistical Computing Hub-9:CIFE , Mumbai

2. Storewel Glass DoorManufacturer: Godrej Awarded Agency: M/s Storevise Equipments Company, Goregaon (W), Mumbai-04

2010 01 0.15963(15381.00*a)

3. Nova 3 SeaterManufacturer: Godrej Awarded Agency: M/s Storevise Equipments Company, Goregaon (W), Mumbai-04

2010 01 0.24609(25000.00**a)

4. Side-door unitManufacturer: Godrej Awarded Agency: M/s Storevise Equipments Company, Goregaon (W), Mumbai-04

2010 01 0.14332(13810.00*a)

5. ChairsManufacturer: Storevise Awarded Agency: M/s Storevise Equipments Company, Goregaon (W), Mumbai-04

2010 11 0. 32170(28600.00 a)

Total 1.00462(0.95686)

a. Discount of 7.75%** Discount of 12.5% a Vat @12.5%

FINAL REPORT

97

(iii) Revenue Generated (Details may be given on revenue generated in the sub-project viz., sale of seeds, farm produce, products, patents, commercialization, training, etc.):

S. No. Source of Revenue Year Total amount (`) in Lakhs

Responsible Partner

1. Capacity Building atNational Dairy Development Board- Anand

2013 1.35955 NAARM, Hyderabad

(iv) Livestock (Details of livestock procured/produced in the sub-project): Not Applicable

20. Awards and RecognitionsS.

No.Name, Designation, Address of the Person

Award/ Recognition (with Date)

Institution/ Society Facilitating (Name & Address)

Responsible Partner

1. Krishna, G., Gopikrishna, G., Gopal, C., Jahageerdar, S., Ravichandran, P., Kannappan, S., Pillai, S.M., Paulpandi, S., Kiran, R.P., Saraswati, R., Venugopal, G., Kumar, D., Gitterle, T., Lozano, C., Rye, M. and Hayes, B. 2011, Genetic parameters for growth and survival in Penaeus monodon cultured in India. Aquaculture 318, 74–78. A182(2013): 7.7

Best Publication of the Year 2011-12’ Award

CIFE, Mumbai CIFE, Mumbai

21. Steps Undertaken for Post NAIP Sustainability- The high end Statistical Computing Package procured with perpetual license can be used till hardware and

operating systems would support the versions available as on June 29, 2013. Hence, the statistical computing environment created would be useful in all future research endeavours. The activities of Strengthening Statistical Computing for NARS are proposed in EFC for XII Plan of IASRI and would be continued in project modefromApril01,2014.Thiswouldfacilitatesmoothimplementationofupdatinglicensefiles,resolvingmaintenance issues and maintenance of service oriented computing modules.

- It has been included in Foundation Course for Agricultural Research Service (FOCARS) training programmes for newly joined scientists and Refresher training programmes for Directly Recruited Senior and Principal Scientists being conducted by NAARM, Hyderabad. This will enable awareness and usability of the resources created under the project. 799 scientists have been sensitized through FOCARS training programme and 211 scientists through Refresher Courses conducted at NAARM, Hyderabad about data analysis using SAS. Further,thenodalofficershavestartedconductingtrainingprogrammesattheirrespectiveorganizationsandthis effort would have a multiplier effect.

- It has been included in (i) CS -621: Software Packages for Statistical Computing (2L+1P) offered to Post Graduate and Doctoral students at NDRI Deemed University, Karnal; (ii) AST 512: SAS Practical offered to M.Sc. (Agriculture) students in College of Agriculture, Padannakkad under Kerala Agricultural University, Thrissur; (iii) being taught in CA 503: Statistical Computing in Agriculture (1L+2P) offered to Post Graduate and Doctoral students at IARI, New Delhi and (iv) Business Analysis with SAS in Post Graduate Diploma in Management (Agriculture). It has also been included in several other practical classes.


98

22. Possible Future Line of Work (Comments/suggestions of CPI regarding possible future line of work that may be taken up arising out of this sub-project)- As mentioned earlier, the activities of Strengthening Statistical Computing for NARS are proposed in EFC of

XII Plan of IASRI and would be continued in project mode from April 01, 2014. This would facilitate smooth implementationofupdatinglicensefiles,resolvingmaintenanceissuesandmaintenanceofserviceorientedcomputing modules.

- Creation of visualization tools and strengthening of Indian NARS Statistical computing portal by adding more modules of statistical analysis of data to culminate into a service oriented computing resource for standardization of statistical analysis of data generated by researchers in Indian NARS would help for better decision making in AICRP/Network Projects.

- The prototype for automation of All India Coordinated Sorghum Improvement Project needs to be scaled up to cover all AICRPs through a network project for paving the way for developing research data repositories, standardizing the analytical modules and saving on time and resources. A separate network project is being proposed for the same. Already a project in collaboration in AICRP on Vegetable Crops has been initiated.

- Capacity Building in Statistical Concepts and Statistical Computing needs to be pursued on continuing basis either through network project or through Education Division of ICAR in terms of Summer/Winter Schools and Short Courses.

23. PersonnelLead Centre and Hub-1: Indian Agricultural Statistics Research Institute, New Delhi

From – To (DD/MM/YYYY)

Research Management (CL)

1 Dr. V.K. Bhatia, Director

20/04/2009 - 28/02/2013 (superannuated)

2. Dr. U.C. Sud,Director (Acting)

01/03/2013 - 31/03/2014

Scientific(CPI, Co-PIs)

CPI

1. Dr. Rajender ParsadPrincipal Scientist (Agricultural Statistics) and Head, Design of Experiments

20/04/2009 - 31/03/2014

Co-PIs

1. Dr. V.K. Gupta, ICAR National Professor, Agricultural Statistics

20/04/2009 - 31/05/2010

2. Dr. P.K. Malhotra, Principal Scientist (Computer Application)

20/04/2009 - 31/03/2012

FINAL REPORT

99

3. Dr. Seema JaggiPrincipal Scientist (Agricultural Statistics)

20/04/2009 - 31/03/2014

4. Dr. V.K. MahajanPrincipal Scientist (Agricultural Statistics)

20/04/2009 - 31/03/2011

5. Dr. L.M. BharPrincipal Scientist (Agricultural Statistics)

20/04/2009 - 31/03/2014

6. Dr. A.K. PaulSenior Scientist (Agricultural Statistics)

20/04/2009 - 31/03/2014

7. Dr. Ramasubramanian, VPrincipal Scientist (Agricultural Statistics)

20/04/2009 - 18/07/2013 (Promoted to CIFE, Mumbai)

8. Dr. Sivaramane, N. Senior Scientist (Agricultural Economics)

20/04/2009 - 27/03/2012(Promoted to NAARM, Hyderabad)

9. Mohammad Samir FarooqiSenior Scientist (Computer Application)

20/04/2009 - 31/03/2014

Technical

1. Sh. R.S. TomarAssistantChiefTechnicalOfficer

10/03/2010 - 31/03/2014

2. Sh. Pramod KumarAssistantChiefTechnicalOfficer

10/03/2010 - 31/03/2014

3. Sh. R.K. SainiAssistantChiefTechnicalOfficer

10/03/2010 - 31/03/2014

4. Sh. Subhash ChandSeniorTechnicalOfficer

10/03/2010 - 31/03/2014

Contractual (SRFs)

1. Sh. C.G. Joshey 08/09/2009 - 31/10/ 2009

2. Sh. Manoj Kumar Khandelwal 23/11/2009 - 12/10/2011

3. Sh. Pankaj Kumar 20/01/2010 - 05/08/2010

4. Ms. Sanju 03/11/2010 - 07/02/2014

5. Sh. Sachin Kumar 02/02/2012 - 21/03/2014

OfficeAssistant(s)

1. Ms. Renu Goswami 29/08/2009 - 18/08/2010

2. Ms. Athria, A. 27/08/2010 - 30/09/2010

3. Ms. Neetu Yadav 08/02/2011 - 31/03/2012

4. Ms. Namreta Bani 09/11/2012 - 05/09/2013

5. Sh. Sumit Kumar 28/09/2013 - 06/02/2014


100

Hub -2 NDRI, Karnal From – To (DD/MM/YYYY)

Scientific(CCPI,Co-PIs)

CCPI

1. Dr. Ravinder Malhotra, Principal Scientist, Agricultural Statistics 20/04/2009 - 31/03/2014

Co-PIs

2. Dr. D.K. Jain, Principal Scientist, Agricultural Statistics 20/04/2009 - 30/09/2012 (superannuated on 30/09/2012)

3. Dr. A.K. Sharma, Senior Scientist, Computer Applications in Agriculture

20/04/2009 - 31/03/2014

4. Dr. A.K. Chakravarty, Principal Scientist, Animal Genetics and Breeding

20/04/2009 - 31/03/2014

5. Dr. A.K. Chauhan, Principal Scientist, Agricultural Economics 20/04/2009 - 31/03/2014

6. Dr. A.P. Ruhil, Senior Scientist, Computer Applications in Agriculture

20/04/2009 - 31/03/2014 (transferred to ASRB on 10/04/2012)

7. Dr. A.K. Singh, Senior Scientist, Dairy Technology 20/04/2009 - 31/03/2014

Technical

1. Sh.TaraChand,AssistantChiefTechnicalOfficer 20/04/2009 - 31/03/2014

2. Sh.GianSingh,AssistantChiefTechnicalOfficer 20/04/2009 - 31/03/2014

Contractual (SRFs)

1. Sh. Vipul Sharma 08/01/2010 - 31/03/2012

2. Ms. Samta 14/02/2013 - 31/03/2014

Hub -3, IVRI, Izatnagar From – To (DD/MM/YYYY)

Scientific(CCPI,Co-PIs)

CCPI

1. Dr. B. Singh, Principal Scientist (Agricultural Statistics) and Head 20/04/2009 - 31/03/2014

Co-PIs

1. Dr. Shiv PrasadPrincipal Scientist (Agricultural Statistics)

20/04/2009 - 30/06/2013

2. Dr. T.A. KhanSenior Scientist (Agricultural Statistics)

20/04/2009 - 31/06/2013

3. Dr. Med Ram Verma Senior Scientist (Agricultural Statistics)

01/07/2013 - 31/03/2014

FINAL REPORT

101

Technical

1. Sh. Ajay Shukla 20/04/2009 - 31/03/2014

Contractual (SRFs)

1. Sh. Pankaj Tewari 06/10/2009 - 05/03/2011

2. Sh. Ravendra Singh 30/05/2011 - 16/01/2012

3. Dr. Manoj Kumar Sharma 28/03/2013 - 30/04/2013

4. Dr. Annu 09/09/2013 - 31/03/2014

Hub-4: MPUA&T, Udaipur From – To (DD/MM/YYYY)

Scientific(CCPI, Co-PIs)

CCPI

1. Dr. K.A. VargheseAssociate Professor (Agricultural Economics)

20/04/2009 - 31/12/2009

2. Dr. Latika Sharma Assistant Professor (Agricultural Economics)

01/01/2010 - 31/03/2014

Co-PIs

1. Dr. B.R. Ranwah Associate Professor (Plant Breeding & Genetics)

01/01/2010 - 31/03/2014

2. Dr. H.K. JainProfessor (Statistics)

01/01/2010 - 31/03/2014

Contractual (SRF)

1. Ms. Nitu Mehta 26/08/2009 - 31/03/2014

Hub-5: DWM, Bhubuneswar From – To (DD/MM/YYYY)

Scientific(CCPI, Co-PIs)

CCPI

1. Dr. Dileep Kumar Panda Senior Scientist (Agricultural Statistics)

20/04/2009 - 31/03/2014

Co-PIs

1. Dr. G. KarPrincipal Scientist , Soil Physics

20/04/2009 - 31/03/2014

Contractual (SRF)

1. Sh. Saswat Kumar Sahoo 29/07/2010 - 31/03/201223/09/2012 - 31/03/2014


102

Hub 6: ICAR RC NEHR, Barapani From – To (DD/MM/YYYY)Scientific(CCPI, Co-PIs)CCPI1. Sh. N. Uttam Singh

Scientist (Agricultural Statistics)05/08/2009 - 31/03/20104

Co-PIs1. Dr. A.K. Tripathi

Principal Scientist (Agricultural Economics)05/08/2009 - 31/03/20104

2. Dr. Anirudha Roy Scientist (Agricultural Economics)

23/10/2010 - 31/03/2014

3. Dr. S.B. SinghPrincipal Scientist (Agricultural Economics)

23/10/2010 - 31/03/2014

Technical 1. Sh. Ratan Das (T-5) 05/08/2009 - 31/03/201042. Sh. Jester Lengstien (SSS) 05/08/2009 - 31/03/20104

Contractual (SRFs) 1. Sh. Robin Singh 01/11/2010 - 30/06/20122. Sh. Pranjal Deka 08/02/2013 - 31/03/2014

Hub 7: UAS, Bengaluru From – To (DD/MM/YYYY)Scientific(CCPI, Co-PIs)CCPI1. Dr. M. Gopinath Rao

Professor and Head, Agricultural Statistics

20/04/2009 - 31/03/2014

Co-PIs1. Dr. V. Manjunath

Associate Professor, Agricultural Statistics20/04/2009 - 31/03/2014

2. Dr. K.N. Krishna Murthy Associate Professor, Agricultural Statistics

20/04/2009 - 31/03/2014

3. Dr. H. Chandrashekar Professor, Agricultural Statistics

20/04/2009 - 31/03/2014

Technical NilContractual (SRFs) 1. Sh. A. Rajesh 01/10/2009 - 28/03/20102. Sh. N. Devaraj 10/05/2010 - 26/07/20103. Ms. C.M. Keerti 18/08/2010 - 12/02/2011

14/02/2011 - 26/05/20114. Sh. H.B. Malikarjuna 01/07/2011 - 26/12/20115. Sh. L. Venu 01/02/2012 - 31/03/20126. Ms.Y.R. Aruna 20/09/2013 - 31/03/2014

FINAL REPORT

103

Hub 8: National Academy of Agricultural Research Management (NAARM)-Hyderabad

From – To (DD/MM/YYYY)Scientific(CCPI, Co-PIs)CCPI

1. Dr. M.N. Reddy, Principal Scientist, Agricultural Statsitics 20/04/2009 - 22/12/20112. Dr. A. Dhandapani

Principal Scientist, Statsitics and Computer Application22/12/2011 - 31/03/2014

Co-PIs1. Dr. G.P. Reddy

Principal Scientist, Agricultural Economics20/04/2009 - 31/03/2014

2. Dr. Ananta SarkarScientist, Agricultural Statistics

30/04/2010 - 30/10/2012

3. Dr. N. SivaramaneSenior Scientist, Agricultural Economics

27/03/2012 - 31/03/2014

4. Dr. P.D. SreekanthSenior Scientist, Computer Application

30/04/2011 - 31/03/2014

5. Sh.V. Sumanth KumarScientist, Computer Application

30/04/2011 - 28/02/2013

6. Dr. S. RavichandranPrincipal Scientist, Agricultural Statistics

25/07/2013 - 28/03/2014

Technical1. Sh. K.V. Kumar 20/04/2009 - 31/03/2014

Contractual (SRF) 1. Sh. D. Rama Krishna 25/09/2009 - 02/03/20102. Sh. G. Ramachandra Rao 02/05/2010 - 14/07/20113. Sh. A. Krishna Prasad 02/11/2011 - 31/03/2014

Hub 9: CIFE, Mumbai

From – To (DD/MM/YYYY)Scientific(CCPI, Co-PIs)CCPI

1. Dr. Shrinivas Jahageerdar,Principal Scientist, Genetics and Breeding

20/04/2009 - 31/03/2014

Co-PIs1. Dr. R.S. Biradar

Joint Director, Agricultural Statistics20/04/2009 - 31/05/2012

TechnicalContractual (SRF)

1. Ms. Geetha Ramchandran 19/09/2009 - 31/01/20112. Ms. Khalsa Simran Kaur 23/03/2011 - 25/03/20113. Ms. Ujawala Patil 26/02/2013 - 31/03/2014


104

24. Governance, Management, Implementation and Coordination A. Composition of the various committees (CIC, CAC, CMU, etc.): NIL

• For procurement of SAS Statistical Software Package from SAS under the project entitled “Strengthening Statistical Computing for NARS” following negotiation committee was constituted by NAIP-PIU vide Letter No. 30(42)/2006/SAS/NAIP/O&M dated June 02, 2009.1. Dr. K.C. Seal, Former DG, Central Statistical Organization Chairman2. Dr. Dilip Kumar, Director, CIFE, Mumbai Member3. Dr. V.K. Gupta, National Professor, IASRI, New Delhi Member4. Dr. M.M. Pandey, DDG(Engg), ICAR Member5. Dr. N.T. Yaduraju, NC, Component-I, NAIP Member6. Sh. Devendra Kumar, Director (Finance), NAIP Member7. Dr. V.K. Bhatia, Director, IASRI, New Delhi Member Secretary

The terms of reference of the Committee were:1. Holding Negotiations with M/S SAS Institute, Pvt. Ltd for the cost involved in: The procurement of SAS

Statistical Package with 150 perpetual license (100 stand alone and 50 intranet) and SAS EBI Server2. Training by vendors (M/S SAS Institute, Pvt. Ltd) free or paid, rationalizing the cost, if paid.3. Any other point the committee considers appropriate in the interest of Project implementation

B. List of Meetings organized (CIC, CAC, CMU, etc.): Not Applicable

FINAL REPORT

105

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PART-IV: DECLARATION

ThisistocertifythatthefinalreportoftheSub-projecthasbeensubmittedinfullconsultationwiththe consortium partners in accordance with the approved objectives and technical programme and the relevant records, note books; materials are available for the same.

Place: New Delhi

Date:17-04-2014Signature of

Consortium Principal Investigator

Comments & Signature of Consortium Leader

FINAL REPORT

107

Notes


108

Notes

FINAL REPORT

109

strengthening statistical computing for nars-2014_01-07-14.pdf

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