Outline Introduction Presentations of progress along MilkIT

project objectives 1. Institutional strengthening2. Productivity enhancement 3. Knowledge sharing

Outlook

MilkIT Partners in Tanzania CIAT – Tropical Forages Program Sokoine University of Agriculture (SUA), Morogoro Tanzania Livestock Research Institute (TALIRI) –

Tanga Centre

NGOs and development partners coming in o SNV o Heifer Project International o HIMWAo TBD (Tanzania Dairy Board)o TAMPRODA (Tanzania Milk Producers Association)

Dairy Value Chain (DVC) development in Tanzania CRP Livestock &

Fish chose DVC in Tanzania

MilkIT works in close collaboration with various R&D projects

Joint planning and operation of activities takes place among several projects

1. More milk in Tanzania (Irish Aid) – MoreMilkiT

2. MilkIT (IFAD) 3. Livestock Data Project

(BMGF/WB) 4. SFFF (Safe Food Fare

Food; BMZ) 5. African Rising – Feed the

Future (USAID)

Several new projects have been funded or are in the pipeline

Process to arrive at 8 selected MilkIT villages for Innovation Platforms

A. Site selection within Tanzania B. Dairy value chain assessment C. Village census (‘Detailed site selection’) per

district D. Selection of MilkIT villages for Innovation

Platforms E. Baseline study

Tanga Region

MorogoroRegion

Figure 1: Spatial distribution of livestock production systems in Tanzania

Preliminary version – work

in progress

Distribution of human population

density in Tanzania

Figure 3: Distribution of the number of people living on less than $1.25 per day

Figure 4: Distribution of the number of people living on less than $2 per day

Preliminary version – work in progress

Figure 4: Travel time (hr) to the nearest town of 50,000 people in Tanzania

Figure 5: Travel time (hr) to local markets

Market access

Preliminary version – work in progress

Figure 11: Bovine feed requirements for milk production in Tanzania

Figure 19: Length of growing period (in days) for Tanzania

Figure 8: Bovine density in

TanzaniaPreliminary version – work in progress

Figure 15: Surplus - deficit areas for milk in Tanzania

Tanga Region

Morogoro Region

Right: Mixed production systems with high population densities (cut off 25 persons/km2)

versus others (arid systems – light green; humid and temperate

systems – dark green; others - grey)

Rural production – rural consumption

Rural production – urban consumption

Morogoro Region

Kilosa

Kilombero

Kilosa

Kilombero

Kilosa

Kilombero

Coloured areas meet 3 conditions: farming systems, high human population density and low market access (= areas more than 5 hours from large urban centres)

Coloured areas meet 3 conditions: farming systems, high human population density and high market access

(= areas less than 5 hours from large urban centres)

Right: Mixed production systems with high population densities (cut off 25 persons/km2)

versus others (arid systems – light green; humid and temperate

systems – dark green; others - grey)

Coloured areas meet 3 conditions: farming systems, high human population density and low market access (= areas more than 5 hours from large urban centres)

Coloured areas meet 3 conditions: farming systems, high human population density and high market access

(= areas less than 5 hours from large urban centres)

Rural production – rural consumption

Rural production – urban consumption

Tanga RegionKorogwe

Handeni

Muheza

Korogwe

Handeni

Muheza

Korogwe

Handeni

Muheza

Progress along MilkIT Project Components in Tanzania

Component 1. Institutional StrengtheningComponent 2. Productivity Enhancement Component 3. Knowledge Sharing

Component 1. Institutional Strengthening – Tanzania

1a. Mechanisms for enhancing innovation capacity through local stakeholder platforms to address dairy value chain constraints.

1b. Approaches for involving local stakeholders in analysis of feed-related aspects of the dairy value chain.

1c. Identification of intervention strategies emerging from dairy value chain analysis.

Component 1. Institutional Strengthening Selection criteria:

o High cattle densityo Market channels:

rural-rural & rural-urban

o Farming systemo Milk production

potentialo Accessibility &

distance o Potential

partners/stakeholders

Site selection:o 4 villages in each

region selectedo Morogoro: Wami

Sokoine & Manyinga (Mvomero district); Twatwatwa & Mbwade (Kilosa)

o Tanga: Mbuzii & Ubiri (Lushoto district); Sindeni & Kibaya (Handeni district)

1a. Mechanisms for enhancing innovation capacity through local stakeholder platforms to address dairy value chain constraints.

8 IPs established in Morogoro & Tanga

Agreed structure: 30 peopleFarmers (60%)Stakeholders (40%)

Morogoro Tanga

KilosaMvomero Handeni

Lushoto

1 2

Regional Platform meetings to implement agreed actions

District CMT sensitization

FEAST & DVC feedback to villages

3 4 5 6 7 8

IP sensitization meetingsIP member election

Next step: IPs agree on their functioning guidelines

DVC & FEAST conducted at village level

1a. Cont.

District Meetings: o Sharing and synergizing with district plans related to our

project activitieso Introducing Maziwa Zaidi goal/ identityo All districts agreed to support in the process of establishing IPs

Kilosa District Meeting

Handeni District Meeting

District Meetings – Issues and Action points

Mvomero Kilosa

Shortage of land: o Village land use plan in

processo Provision of mini

ranches Inadequate markets:

o Establishment of more collection centers

o Establish more livestock markets for better coverage of district

Shortage of land:o Land use plan in process o Govt’ to recover undeveloped

land (incl. from absentee investors)

Inadequate vet services:o Plan to establish ward

veterinary centerso Build and rehabilitate dip tanks

Inadequate communi-cation among stakeholders:o Engage Kilosa radio broad-

casting to reach stakeholders

District Meetings – Issues and Action points Cont.

Lushoto Handeni Inadequate markets:

o Milk pricing will be taken care of by the Tanga Dairy Platform

o SNV conducts a survey to underscore the governance of primary cooperative societies and processors

Extension & veterinary services:o Plan to recruit and distribute

extension staff in every villageo Plan to encourage more

service providers within the district up to village level

Land availability:o Land use plan is underwayo Developed bylaws to prevent

invading pastoralists Insufficient pasture:

o Continuous sensitization of pastoralists on options to enhance productivity

Inadequate access to inputs: o 5 AI centres are planned to be

established in various sites of the district

o More input agents to be encouraged to operate in each ward

1c. Identification of intervention strategies emerging from dairy value chain analysisConstraints from past feed interventions

Identified interventions at MilkIT sites

Limited number of adopted feed technologies

High resource costs of technologies in terms of labour and accessibility

Proper packaging and dissemination of technologies is needed

Most limited to intensive smallholder dairy production

In Morogoro so far:o Pasture establishment &

managemento Demonstration plots o Pasture seed supply o Forage conservationo Training on feeds and

feedingo Feeding routineo General cattle

husbandry

Component 2. Productivity Enhancement Outputs 2a. Strategies for implementing local feed-related innovations emerging from stakeholder platforms with the potential to enhance dairy incomes. 2b. Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income benefits through productivity increases. 2c. Strategic lesson learning on appropriate dairy feeding strategies and technologies.

2a. Strategies for implementing local feed-related innovations emerging from stakeholder platforms with the potential to enhance dairy incomesApplication of FEAST FEAST Outputs FEAST training in

Morogoro & Tanga regionso 26 participants were

trained FEAST surveys in all 8

villageso 104 Farmers for individual

interviewso 306 Farmers in FGDs

FEAST reports compiled from 4 districts o Challenges identified and

solutions proposed are possible entry points and mark the pillars for IP functioning.

Individual interview Focus Group Discussion

FEAST key results Seasonality of feed results in

seasonal milk production Grazing is main feed source in

extensive system; higher diversity of feed stuffs in semi-intensive/intensive system

FEAST participants did not perceive feeds or feeding as key constraints

Principle constraints identified were land, water and markets for livestock and milk; genetic potential of cattle and livestock diseases; lack of knowledge on animal husbandry Seasonal feed availability in Twatwatwa

village, Kilosa District, and Manyinga village, Mvomero District, Morogoro Region

FEAST capacity building conducted Pemba, Tanzania (2012) Dschang, Cameroon – within AusAID-funded

project o University of Dschang and Ministry of

Livestock members Babati, Tanzania – within USAID-funded

project o TALIRI researchers and extensionists

2a. Cont. Forage germplasm established:

o TALIRI: legumes and grasses o LITI-Tengeru: legumes and grasses (in

collaboraton with Africa-Rising Project)Other possible seeds and planting materials

from sources: Heifer in Lake zone (Brachiaria Mulato) and Stylo & buffel grass from ILRI & CIAT

2b. Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income

benefits through productivity increases.

Site Type of Intervention

Comments

Wami Sokoine

Pasture Demo plotAction learning: forage types, pasture establishment, management and feed conservation

BSc student may be involved in data collection as multiple trials will be set;2 acres area identified

Manyinga Training on proper feed types and feeding, feed conservation and general animal husbandry

BSc student for feeding trial to check if animal genetics or feeding is more important for enhancing productivity

Mbwade Bush encroachment: clearing an area of land, reseed and be a demonstration plot

Consultation of rangeland expertise for the particular activity

2c. Strategic lesson learning on appropriate dairy feeding strategies and technologies

From previous projects, needs identified for o Cost-effective feeding technologies, o Proper dissemination approaches, o Creation a sense of ownership and o Continuous training (mindset change)

o Appropriate, less technology-based interventions for extensive livestock production systems

Component 3. Knowledge Sharing – Tanzania 3a. Mechanisms for sharing knowledge at

local and regional levels. 3b. Mechanisms for sharing knowledge

across project countries and among global R4D projects.

3a. Mechanisms for sharing knowledge at local and regional levelsMilkIT integration with

other players Tanga regional

platform: o Participating in the regular

meetings every 3 months

Maziwa week Exhibition:o Introducing the project to

national dairy s/holders’ council meeting

Nanenane agricultural Exhibition: o TALIRI Tanga participated

Tanga Platform

Maziwa week

3a. Cont.DDF – Tanzania Dairy Development Forum

o Set up in February 2013 due to the necessity of concerted collaboration among different stakeholders to further harness the country’s dairy sub-sector

o MilkIT is one of the seven projects under the DDF umbrella

o Participating in the forum is one significant advance for the project in terms of sharing knowledge, identifying systemic bottlenecks and co-creating solutions via joint planning

Maziwa Zaidi = more milk in Kiswahili o A common goal agreed among the DDF stakeholders

Village IP

Regional Innovation Platform

Village IP

Village IP

Village IP

Goal: Maziwa Zaidi

Action research

Inter-vention

Action research

Inter-vention

Tanzania DDF

District Council Management Team

3a. Cont. Participation in meetings of

other DDF stakeholders: o Morogoro stakeholders meeting

(April, 2013)o DDF meeting (August, 2013)o MoreMilkIT: Impact pathways &

ML&E workshop (May 2013) o ML&E and planning meeting

(September 2013)

Participation of other stakeholders in MilkIT review and planning meetings

Joint steering committee with MoreMilkiT

3b. Mechanisms for sharing knowledge across project countries and among global R4D projects. Excel Template shared: developed by MilkIT in

Indiao Activities related to IP process are documentedo Participants and gender included

Wikispaces shared: o Space to share process with partners and

interested ‘outsiders’ o Online database for our reports o Partners are encouraged to use

Annual regional review and planning meetings across MilkIT project

Next steps for 2014 IP function guidelines in place & IP’s up and

running Action research implemented Setting up of regional platform in Morogoro Attached students to conduct research on

o IP performance with emphasis on communication o Feeding strategies o Information flow and knowledge sharing among farmers

Continuous development of DVC in collaboration with other projects

Assist in scaling up the IP model

Right: Mixed production systems with high population densities, and low market access versus others (arid systems – light green; humid and temperate systems – dark green; others - grey)

Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas more than 5 hours from large urban centres)

Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas less than 5 hours from large urban centres)

Rural production – rural consumption

Rural production – urban consumption

Preliminary version – work in progress

MilkIT villages in different characterization activities

Region District

Village Domain

DVC assess-ment

Village census

Baseline study

Tanga Lushoto Mbuzii R-U X XTanga Lushoto Ubiri R-U X XTanga Handeni Sindeni R-R X X XTanga Handeni Kibaya R-R X X

Morogoro MvomeroWami-Sokoine R-U X X

Morogoro MvomeroManyinga R-U X X XMorogoro Kilosa Twatwatwa R-R X XMorogoro Kilosa Mbade R-R X X X