1

Annual Progress Report

(April 2011 – March 2012)

COMPONENT: 4 /C2046

1. Sub-project title:

Research into Development of Decision

Support Systems for Insect pests of major rice

and cotton based cropping systems (C2046)

2. Principal Investigator: Dr YG Prasad, Principal Scientist (Entomology)

3. Lead Institute: Central Research Institute for Dryland

Agriculture (CRIDA), Hyderabad

4. Co-principal Investigators

(Name and address):

1. Co-PIs from CRIDA, Hyderabad

Dr M Prabhakar, Sr. Scientist (Ent)

Dr K.V. Rao, Sr. Scientist (SWCE)

Dr AVMS Rao, Sr. Scientist (Agmet)

Dr K. Nagasri, Sr. Scientist (Ext) Dr B.M.K. Raju, Sr. Scientist (Stat)

Dr N. Ravi Kumar, Sr. Scientist

(Comp) 2. Dr VS Nagrare, SS

(Entomology),CICR, Nagpur

• Dr Rishi Kumar, SS

(Entomology), CICR-RS, Sirsa

• Dr B Dharajyoti, PS

(Entomology), CICR-RS,

Coimbatore 3. Dr Gururaj Katti, PS (Entomology),

DRR, Hyderabad

• Dr V. Jhansi Lakshmi, Sr,

Scientist, DRR

• Dr A.P.K. Padmakumari, Sr.

Scientist, DRR

• Dr Ch. Padmavathi, Sr.

Scientist, DRR

• Dr K Vasanta Bhanu, Scientist

(Entomology),APRRI, Maruteru (ANGRAU)

• Dr PS Sarao, Assistant

Entomologist, PAU, Ludhiana

• Dr Maya Bini Jena,

Entomologist, CRRI, Cuttack

• Dr CR Satpathy, Entomologist,

BCKV, Mohanpur

• AICRP Centre, Pattambi

4. Dr Sujay Dutta, Scientist, SAC,

Ahmedabad 5. Dr S Vennila, PS (Entomology),

NCIPM, New Delhi

5. Duration of the Sub-project:

Date of commencement:

Date of completion:

Extension so far (if any):

17.7.2008 (Launched on 28th Nov, 2008)

31.3.2012

-

2

6. Total budget of sub-project (Rs. in lakh):

Revised budget, if any (Rs. in lakh):

Rs. 322.60 lakhs

Rs. 338.0624 lakhs

7. Research Achievements/Innovations: (List five in bullet form, not more than 3 lines each)

a) For Period of report i.e., April, 2011 to Feb, 2012

1) Developed a web enabled Decision Support System (v1.0) incorporated with

user friendly decision support tools and features such as stage-specific

mortality and age-specific fecundity life table calculator for estimating rate and

size of population increase; degree-day calculator for prediction of timing of

pest population based on phenology; population trend index calculator for

population projection based on input temperature and pest activity; agro-

climatic analysis for 11 cropping system locations and pest diagnostics for

major pests of rice and cotton. The DSS is programmed using JAVA and VB

6.0 as front end with web enabled features and MS Access database as

backend.

2) Developed and validated a phenology model based on thermal summation for

the first time for predicting the timing of peak moth activity of leaf folder in

rice both for kharif and rabi seasons. Prediction of leaf folder peak incidence/

activity based on the DD model will help the farmer in timing the pest

management interventions more effectively rather than resorting to

indiscriminate application of insecticides.

3) Linear and non-linear regression models were applied to development data

from 9 constant temperature experiments to estimate developmental rates,

thermal constants, lower, optimum and upper developmental thresholds for

complete development of White-backed plant hopper (WBPH) nymphs to

adults for the first time. The estimated thermal constants and developmental

thresholds are being used in developing phenology models for predicting the

timing of peak field activity of WBPH in rice.

4) A decision tree based model for predicting yellow stem borer in rice-rice-pulse

based cropping system was developed by applying Classification and

Regression Tree (CART) approach on weekly light trap count datasets (1995-

3

2011) of rice Yellow Stem Borer (YSB). The model is scalable, can handle

smaller data sets and is applicable for predicting YSB in rice for timely pest

management in the Rice-Rice-Pulse cropping system in Andhra Pradesh.

5) For the first time fixed precision sampling plans have been devised for the

cotton mirid, Crenotiades biseratense (Distant) (Hemiptera: Miridae) which is

an emerging pest on Bt Cotton and the dominant mirid in the southern cotton

growing zone. Applying distribution parameters of both nymphs and adults

based on three year field incidence data, optimum sample sizes for different

pest densities were arrived at 0.1 and 0.25 fixed precision levels. The decision

tool will be helpful in accurate estimation of population density for timing of

pest management interventions based on a set economic threshold.

6) Developed and validated linear regression models and curve-fit comparison of

progress of current pest incidence scenario vs the trend in an epidemic year for

predicting pink bollworm incidence in Cotton

b) From inception to Feb, 2012(Give further details (precise & to the point only), if

needed, in Annexure)

1. Diversity studies of mealybugs and mirids in cotton indicated occurrence of four mealybug

species. Phenacoccus solenopsis Tinsley was the dominant species in Cotton- wheat and Cotton + Pigionpea- fallow system of North zone and Central zone while, P. marginatus

was the dominant species in cotton+ pulses- maize cropping system of Southern zone.

Mirids Campylomma livida and Creontiades biseratense are dominant in central and south

zone, respectively.

2. Published a treatise on cotton mealybug, Phenacoccus solenopsis based on the bio-ecology

studies carried out in the Central cotton growing zone

3. Recorded seasonal and off-season alternate hosts (>194 hosts) for the mealybug species

on cotton in all the cropping systems. A technical bulletin on alternate hosts of mealybug

in cotton based cropping systems across all cotton growing regions is on the verge of publishing

4. A new sampling plan for mealybug P. solenopsis has been standardized. Incidence was

assessed based on presence or absence of mealybugs and the severity using zero to four scale of infestation. Study indicated the importance of locating the source of mealy bug

infestation first, and sampling that accounts field areas largely parallel to the infestation

source. Sample sizes of 25 to 50 plants per acre were sufficient in fields with known

source of infestation such as roadside, weeds and water channels. A samples size of 100

plants per acre was necessary for clean fields where prior knowledge of mealybug

infestation is not available.

5. A new sampling plan devised and optimum sample size established for field population

estimates of mirid, Campylomma livida in cotton + pigeon pea cropping system in the

central zone and Creontiades biseratense in cotton + pulse – maize cropping system in

South zone. The results showed that top one third portion was found to be appropriate for sampling both the species. Sampling on 10 plants per acre was found to be optimum.

Two different sampling techniques viz., net sweeping and tapping the shoots with

polythene cover underneath were tried along with the visual count method. Among the

three techniques tested, visual count method was found to be the most consistent and

reliable for population estimate.

6. A novel and simple protocol for estimating lifecycle parameters of the emerging pest

mealybug, Phenacoccus solenopsis Tinsely was developed for biology studies at constant

temperatures. Published biology of mealybug species, Phenacoccus solenopsis inhabiting

the cotton-wheat cropping system of the North Zone and the cotton + pigeonpea cropping

4

system of the Central Zone. Publication on biology of Paracoccus marginatus is in the

pipeline

7. Established life table parameters for both the mealybug species on cotton along with stage-

wise mortality factors and their rates. Designed a prototype parasitoid emergence trap used

for incubating large number of field collected samples of mealybugs on a variety of hosts during the season and off-season at prescribed intervals. Published the natural regulation of

mealybug in the cotton-wheat cropping system

8. A new record of weevil, Tanymecus pronceps (Faust) (Coleoptera: Curculionidae) on Non-Bt cotton feeding on leaves, squares and flowers during off-season has been made.

Four new species of parasitoids on cotton mealybug, Phenacoccus solenopsis Tinsely have

been recorded. Two have been identified as Prochiloncurus albifuniculus (Hayat et. al.)

and Prochiloncurus pulchellus (Silvestry) (Hymenoptera: Encyrtidae) which caused 2-4%

parasitization of mealybug. The two unidentified parasitoid species caused 20 - 62%

parasitization. 9. A technique was developed to identify larval instars of rice yellow stem borer,

Scirpophaga incertulas by measuring the width of mandibles. Cohort based field studies to

study the development of yellow stem borer, revealed that the development of larvae from a single cohort was asynchronous. Observations revealed that there was no correlation

between the size and age of the larvae. Head capsule width was employed to delineate the

larval instars but concluded that it may not be reliable. Mandibular width of the larva (which can be measured easily under a microscope) showed its potential for distinguishing

larval instars of rice yellow stem borer

10. Published life table parameters for rice leaf folder and the field validation is currently

underway in two rice based cropping systems.

11. Estimated life cycle parameters for Brown Plant Hopper (BPH) and White-backed Plant

Hopper (WBPH) under variable temperatures for 4 seasons over two years

12. Established field growth rates and population dynamics for yellow stem borer (YSB) and

BPH in major rice based cropping systems. Published two papers on influence of natural

mortality factors on BPH in rice-vegetable/pulse cropping system of Eastern India 13. Developed a novel methodology for capturing cropping systems effect on onset, intensity

and spread of cotton mealybug in a geospatial cum temporal perspective using satellite

data and geo-referenced with differential global positioning system (DGPS). Pest

incidence data was collected at weekly intervals at geo-referenced field sites selected

based on crop diversity, adjacency to roads, crop fallows and uncultivated fallows. Spatial

and temporal overlays of crop mask and pest incidence were made at the start, mid and end

of season. Mealybug damaged fields were identified by classifying RS image based on

ground truth surveys and validation. This study indicated the role of alternate hosts in

triggering pest incidence in cotton fields adjacent to roadsides and crop fallows

14. A web enabled software tool (calculator) was developed in JAVA for constructing stage-wise life-table parameters for insect species. The programme calculates stage-wise survival

and K-value when initial field population size and stage-specific key mortality factors

obtained from field studies is fed as input 15. Developed web-enabled software for on-line data input and reporting system for field

survey data on cropping systems agronomy and pest surveillance. The software is user ID

and password protected for viewing field data at weekly intervals and compiling of time-

series data for further analysis. The data input and reporting system will be useful for

eventual development of DSS. \

16. Developed techniques to derive spatial level RS based indices using ENVI image

processing s/w and spatial level sounder data in Matlab s/w; Analysis using

combination of raster (image) and vector (grid) data in ERDAS and ARC GIS s/w

was standardized to facilitate extrapolation of model outputs

17. Validated Weather Research Forecast (WRF) simulation model derived gridded

meteorological data (min and max temperature) with ground station data at Sirsa

after conversion to raster format and re-projection of database at 5 Km interval (R2

5

= 0.89).

18. Generated life table parameters on population dynamics of Rice Yellow Stem

Borer, Brown Plant Hopper (BPH) across three cropping systems and of leaf folder

at two cropping system locations

19. Generated life cycle parameters at 10 constant temperatures including development

and mortality, fecundity and longevity for cotton mealybug, Phenacoccus

solenopsis Tinsley at three locations; for Paracoccus marginatus in Southern zone;

for leaf folder in rice at 7 constant temperatures and for for BPH/WBPH at 8

constant temperatures

20. Developed a process based model for simulation of yellow stem borer population

dynamics and tested model outputs for two cropping system locations

21. Developed Hyperspectral analysis protocol to identify sensitive spectral bands for

quantified differential infestation levels of mealybug and jassids in cotton; leaf

folder and BPH in rice. Spatial comparisons of key sap feeders (jassid and aphid)

was carried out based on three years data (2008-2010) from 14 centres

representative of North, Central and South cotton growing regions of the country.

22. Developed remote sensing based models for assessment of mealybug severity on

cotton at Sirsa, Haryana using a regression model with satellite based Modified

Perpendicular Drought Index (MPDI) and weather data (positively correlated with

min. temperature and negatively with relative humidity with an R2 of 0.6) which

was in agreement with the ground truth as mealybug severity was greater in drier

areas. Similary NDVI based classification of the IRS P6 LISS IV data of the target

village at Warangal district, Andhra Pradesh revealed four distinct classes with

NDVI values less than 0.17 denoting severe mealybug damaged cotton fields; 0.17

- 0.26 denoting moderately damaged and above 0.26-0.40 for healthy cotton fields.

Results of the grid wise (250 m) analysis of the sampled area for spatial

autocorrelation showed Moran’s Index values in the range of 0.15 to 0.23 for the

grids implying that nearby areas tend to be similar in attributes. Buffer analysis

with first 15 m from road showed the number of pixels with severe infestation is

very high (825) compared to the next 15 m buffer (533) indicating a strong

relationship between mealybug severity in cotton fields adjacent to roadsides that

harbor many alternate weed hosts

23. Released a CD on crop-pest-weather database covering rice and cotton crops on

19th September, 2011 in the National Stakeholders Consultation on Climate

Change Platform, Hyderabad. The crop-pest-weather database for rice and cotton

documents weekly pest records along with corresponding weather across several

locations in India. It is also developed as a web enabled format in the previous year

which will now be hosted on the CRIDA website by 30th Sep 2011. The database in

CD format has a user friendly front end for retrieving and viewing historical pest

and weather records in the form of graphs and data tables. Pest graphs of time

series data can be viewed for the selected period and also be superimposed on

corresponding weather data. The database is useful for pest modeling groups as it

provides a ready access to data and also to extension functionaries involved in

agro-advisory services to compare current season pest alerts with past trends for a

given location.

24. Filed a patent (3515/CHE/2011 dated 12-10-2011) for an “Insect Parasitoid and

predator collection device” for use in assessing density, diversity and seasonal

dynamics of parasitoid and predator insects acting on the pest populations under

field conditions in several field and plantation crops

6

8. Salient achievements/innovations:

(List two achievements with half page write-up and high resolution photographs)

(Also send the photographs separately as .jpg format rather than by pasting on MS word or

PowerPoint file).

1) Fixed precision sampling plans for assessment of cotton mirid, Crenotiades

biseratense population density in Bt cotton

Mirid bug, Crenotiades biseratense (Distant) (Hemiptera: Miridae) is an emerging pest on Bt

cotton in the southern cotton growing zone (Fig. 1). Both nymphs and adults cause square

and green boll damage to the extent of 16-18% and hence assessing the field population

density is crucial for timely and cost effective pest management decisions to prevent

economic damage in Bt cotton in the southern zone.

Field pest incidence data for the period 2009-2011 generated at CICR-RS, Coimbatore was

utilized to estimate parameters using Taylor’s power law and Iwao’s patchniess index which

indicated an aggregate distribution of nymphs and adults from whole plant sampling. The

parameter estimates further used to arrive at density of different life stages of mirids at fixed

precision levels (Fig. 2) and also to find out the optimum sample sizes for different densities

of mirid life stages at 0.1, 0.15 and 0.25 fixed precision levels (Fig. 3).

For the first time fixed precision sampling plans have been devised for the cotton mirid at

user defined fixed precision levels. The decision tool will be helpful in accurate estimation of

population density of mirid bug in Bt cotton for timing of pest management interventions

based on a set economic threshold.

a b

7

Fig. 1. Cotton mirid bug, Crenotiades biseratense (Distant) (Hemiptera: Miridae) a)

Nymph b) Adult; Feeding damage on c) square and d) green boll

Fig. 2. Estimation of density of mirid life stages on Bt cotton whole plants at 0.25 precision

level

c d

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Fig. 3. Estimation of optimum plant samples for a given mean density of mirid on Bt cotton

at 0.1, 0.15 and 0.25 precision levels

9

2) Thermal summation phenology model for prediction of rice leaf folder,

Cnaphalocrocis medinalis Guenee in major rice based cropping systems

Leaf folder, Cnaphalacrocis medinalis Guenee is a serious pest on rice in major rice

growing areas of the country with estimated yield reduction ranging from 40 - 60% in

outbreak years (Fig. 4). Degree day model (Thermal summation model) can be used to

predict leaf folder peak population / activity for effective monitoring and management of the

pest. Temperature is the most critical abiotic factor that exerts profound influence on the

development of insects. Insects require certain amount of heat units (degree days) to develop

from one life stage to the other. Temperature thresholds and thermal constants are potential

indicators of the distribution and abundance of rice leaf folder. The accumulated degree days

(ADD) form the base for developing phenology model to predict populations of leaf folder in

the field.

The study was conducted at the Directorate of Rice Research (DRR), Rajendranagar,

Hyderabad. Laboratory experiments were carried out in environmental chambers (MLR

350H, SANYO electric Co.Ltd., Japan) in which relative humidity (60 ± 5 %) and

photoperiod (14L:10D) were kept constant. Response to temperature was assessed by

exposing rice leaf folder, Cnaphalocrocis medinalis eggs to seven constant temperatures (18,

20, 25, 30, 32, 34 & 35°C) and allowing them to develop into adults. At each temperature

survival and duration of development was noted. Linear regressions were used to determine

the relationship between developmental rate (1/duration) and temperature and to estimate

intercept (a) and slope (b). After determining the lower temperature threshold for each stage,

thermal constant (the number of degree days required for complete development) was

estimated from the reciprocals of the fitted regression line (b-1). Thus, total degree days

required for the development of each stage and from egg to adult was estimated. A non linear

Logan 6 model was used to estimate the upper developmental threshold temperature (Tmax)

and optimum temperature threshold (Topt) for each stage.

The phenology model was developed after evaluating several bio-fix dates for wet and dry

seasons for closeness in predicted and observed accumulated degree-days (ADD) required for

peak moth activity coinciding with panicle initiation stage of the crop. Linear regression of

the percent development of the pest vs ADD yielded the model with a coefficient of

determination (R2 = 0.94) (Fig.3)

The DD model is developed and being applied to rice leaf folder for the first time. Moreover,

leaf folder damage is highly visible to farmers and is often the most important stimulus for

insecticide application. Prediction of leaf folder peak incidence/ activity based on the DD

model will help the farmer in timing the pest management interventions more effectively.

10

Fig. 4. Extensive leaf damage in rice due to outbreak of leaf folder on Sona Mahsuri variety

(Inset: larva in leaf fold and close up of damaged leaves devoid of chlorophyll)

Fig. 5. Linear regression of cumulative percent catch of leaf folder moths in light trap and

ADD across five years (R2 = 0.94)

11

9. Financial Management

Statement of budget released and utilization (since inception): (Rs. lakh)

Sl. No. Lead centre/Co-

partners

Total Sanctioned

Budget

Fund Released up to

Dec 2011

Fund utilized

up to Dec 2011

1. CRIDA 148.7103 125.0572 126.55938

2. CICR 84.736 58.44641 57.68985

3. DRR 87.3381 52.65156 54.74885

4. NCIPM 17.278 10.71512 10.4559

Total 338.0624 246.8703 249.45398

10. Details of CAC/CIC/CMU meetings held:

A. Since inception (Dates only)

Launch workshop 1 28-29 Nov 2008

CAC meetings 4 29th Nov 2008

8th Oct 2009

20th May 2011

15th Dec 2011

CIC meetings 10 7th Nov 2008

13th Feb 2009

6th June 2009

18th July 2009

8th Oct 2009

15th Feb 2010

26th June 2010

14th Dec 2010

19th May 2011

15th Dec 2011

CMU meetings 2 13th Feb 2009

6th June 2009

B. For reporting period only (Details):

Sl.No Opertionalization

of Governance

(as applicable)

Dates of

meetings

Agenda discussed

(points in brief)

Follow-up

action taken

1. 3rd

CAC 20th May 2011 Publications,

extension proposal

Extension

proposal

submitted to

PIU by Oct,

2011 2 4

th CAC 15

th Dec 2011 Authentic

taxonomic

identification;

Sharing of data;

Validation of

models; Additional

budget approval for

DRR

Additional

budget for

DRR approved

by PIU

12

3. 9th

CIC 19th

May 2011 Budget and

contractual

positions

Submitted to

PIU

4. 10th

CIC 15th

Dec 2011 Budgetary issues Submitted to

PIU 10. Meetings/seminars/trainings etc. organized

Organizer

(Name &

Address)

Details of Meetings/ Seminars/

Trainings, etc.

Duration

(From-To)

No. of Personnel

trained

Nil

11. Participation in Conference/meetings/seminars/trainings/Radio talks etc.

A.National

Participant

(Name &

Address)

Details of Meetings/Seminars/Trainings/Radio

talk, etc.

Duration

(From-To)

M Amutha,

CICR-RS,

Coimbatore

2nd International congress of Global warming

on Biodiversity of Insects: Management and

conservation, held at Bharathiyar University,

Coimbatore.

24-26 August 2011

B Dhara Jothi,

CICR-RS,

Coimbatore

World Cotton Research Conference -5 held at

Mumbai.

7-11 November 2011

VS Nagrare,

CICR, Nagpur

World Cotton Research Conference -5 held at

Mumbai.

7-11 November 2011

M Prabhakar,

CRIDA,

Hyderabad

National symposium on Agrometeorological

research and services to combat climate

change challenges held at BCKV, Kalyani,

West Bengal

9-10 December 2011

V Jhansi

Lakshmi, DRR,

Hyderabad

3rd International Conference on Climate

Change, Forest Resource and Environment

held at Kerala organized by Dept. of Env.

Sciences, University of Kerala,

Thiruvananthapuram in association with

National Environmentalists Association,

India

9-11 December, 2011

V Jhansi

Lakshmi, DRR,

Hyderabad

IUPAC sponsored second international

conference on Agrochemicals protecting

crops, health and environment Role of

chemistry for sustainable agriculture held at

IARI, New Delhi

15-18 February 2012

A P Padma

Kumari, DRR,

Hyderabad

International symposium on '100 years of rice

and looking beyond held at TNAU,

Coimbatore

9-12 January 2012

B.International

13

Participant

(Name &

Address)

Details of Meetings/Seminars/Trainings/Radio

talk, etc.

Duration

(From-To)

Nil

12. Publications:

Prabhakar M, Prasad, Y G, Thirupathi M, Sreedevi G, Darajothi N. 2011. Use of

groundbased hyperspectral remote sensing for detection of stress in cotton

caused by leafhopper (Hemiptera: Cicadellidae). Computers and Electronics in

Agriculture, 79: 189-198.

Prasad, Y G, Prabhakar M, Sreedevi G, Tirupathi M. 2011. Spatio-temporal dynamics

of the parasitoid, Aenasius bambawalei Hayat (Hymenoptera: Encyrtidae) on

mealybug, Phenacoccus solenopsis Tinsley in cotton based cropping systems

and associated weed flora. Journal of Biological control, 25(3): 198-202.

Vennila S, Meenu Agarwal, Dharmendra Singh, Prasenjit Pal and Biradar V K. 2011.

Approaches to weather based prediction of insects: a case study on cotton pink

bollworm Pectinophora gossypiella. Indian Journal of Plant Protection,

39(3):163-169.

Rishi Kumar, Swami D., Kumhar K. C. & Bhawaria R.S.2011. New formulation of

acephate and other insecticides against sucking pests in cotton. Indian Journal

of Plant Protection 39(3): 236-238.

Dharajyothi B, Surulivelu T, Sonai Rajan T and Valarmathi R. 2011. First Record on

the Establishment of the Parasitoid Acerophagus papayae Noyes & Schauff on

Paracoccus marginatus Williams and Granara de Willink in cotton. Karnataka

Journal of Agricultural Sciences 24(4): 536-537. 13. Media products developed/disseminated:

CD, Bulletins, Brochures, etc.

(Year wise); title No. of copies

Distrib

ution

2008:

Project brochure 500 400

2010:

A treatise on mealybugs of Central Indian cotton

production system. NCIPM Technical Bulletin No. 24, pp.

50

200

50

2011:

Compendium of cotton Mealybugs, CICR, Nagpur, pp 52

200 50

2011:

Spatio-temporal distribution of host plants of Cotton

mealybug, Phenacoccus solenopsis Tinsley in India.

NCIPM Technical Bulletin no. 26, NCIPM, Pusa Campus,

New Delhi, pp. 49

200 60

2011:

CD on Crop-Pest-Weather database 200 50

14

14. Cumulative list of Patents (if any):

Patent developed by

(Name & Address) Patent details (Granted/Filed) Application No.

Dr M Prabhakar,

Senior Scientist

(Entomology) & Dr

YG Prasad, Principal

Scientist

(Entomology)

Patent filed. Insect Parasitoid

and predator collection device

Patent No:3515/CHE/2011 dated

12-10-2011

15. Knowledge products developed: (Applicable to component 1 only)

16. Assets Generated:

Equipments/Vehicles/Research facilities created from starting to March 2011

Sl. No. Lead centre/

Co-partners

Equipment

(Make &

Model)

Vehicle

(Make &

Model)

Research

facilities

Date of

purchase

Amoun

t spent

(Rs. in

lakhs)

Nil

17. Infrastructure facilities developed:

Sub-Project Leader

and Partners

Infrastructure

developed

Numbers/Size/

Capacity Amount (Rs.)

18. Revenue generated (cumulative upto March, 2011)

(From sale of farm produce, patents, commercialization, trainings, etc

Sub-Project Leader

and Partners Source of revenue Amount (Rs.)

Nil

19. Personnel involved in sub-project

Leader and Partners

(Name & Address) Regular Contractual

Sc. Sr. Sc Pr.

Sc. Tech. RA SRF TA

O

A

CRIDA, Hyderabad 4 1 2 1

CICR, Nagpur 2 1

CICR-RS, Coimbatore 1 1 1

CICR-RS, Sirsa 1 1

DRR, Hyderabad 3 1 2

APRRI, Maruteru 1

PAU, Ludhiana 1 1

15

NCIPM, New Delhi 1 1

SAC, Ahmedabad 1 1

20. Honour and Awards

Sub-Project Leader

and Partners Name of personnel

Honour/Award

(with date)

- - -

21. Linkages and collaborations (specific to project activities)

Sub-Project Leader and

Partners Linkages developed

NCIPM, CRIDA and State

Dept. of Agriculture,

Maharashtra

Crop Pest Surveillance and Advisory Project (CROPSAP) –

Current season pest incidence data 33 districts along with weather

data acquired from 19 weather stations acquired

National Information system for Pest Management (Bt cotton)

project – Sharing of current season data on cotton pests from 9

states and also historical pest data

22. Status of employment generation (man-days/year)

Lead centre/

Co-partners

Employment generation up to March

2012

Employment

generation during

April 2011 to

March 2012 Man days

CRIDA 2950 1000

CICR & Centres 7000 2400

DRR & Centres 8750 2500

23. Action taken for post NAIP sustainability of the sub-project activities:

Extension proposal submitted. The project goal of developing a decision supports system for

management of rice and cotton pests for operational use will be continued under the National

Initiative on Climate Resilient Agriculture in operation at CRIDA.

24. E&S frameworks developed and implemented (If applicable)

Environmental safeguard Social safeguard

Positive

effects Negative effects

Mitigation

measures taken to

minimize the

negative effects

Positive

effects

Negative

effects

Mitigation

measures

16

Cultural and

biological

management

practices for

pests and

forewarning

for timely and

effective use

of pest control

interventions

based on

chemicals will

have beneficial

impact on the

environment

Pest management

decisions often

include

interventions with

synthetic pesticides

with potential

negative effects on

the environment

Pesticides

belonging to

WHO Class 1a

and 1b

(extremely toxic

category) will

not be

recommended for

pest management

decisions

emanating from

the DSS

Nil Nil Nil