Update on the smallholder dairy value chain project in India
Vamsidhar Reddy
ILRI-India
India Smallholder Dairy Value Chai...
The Key Challenges
Insufficient smallholder participation
and competitiveness
Lack of appropriate input
provision and inpu...
Vision: a more inclusive and sustainably intensive
transformation of small-holder dairy value chains in India.
Long term g...
How to get there – Impact Pathways
• Innovative and appropriate strategies and technologies
improving postproduction handl...
Where are we in the process?
Huge heterogeneity in bio-physical and socio-economic
context
 Identify a small number of representative research locatio...
Multi-step procedure
1. Define State for the dairy value chain
 Based on poverty, milk production, consumption, and
produ...
Multi-step procedure
1. Define State for the dairy value chain
 Based on poverty, milk production, consumption, and
produ...
Density of poor people
Bovine density
GIS analysis
Bovine density
Density of poor
Combining the criteria
Ranking the Districts based on ‘Soft Criteria’
District C1: C2: C3 : C4: C5 : C6 :
points
without
weighting
points with
st...
Assessments
1. Value Chain Scoping and Value Chain Analysis (VCA) – Planned in
2014 (Sep-Dec)
2. Capacity development need...
Complementary activities
1. Situational analysis – Completed in 2014 (report finalized)
2. Workshops to define impact path...
Capacity development
• Two students (from SupAgro, Montpillear) are
planned to be associated for a short-term study in
Bih...
Key partnerships and engagements
1. Strategic Research Partnerships
• ICAR-RCER
• BAU, SGIDT
• Vigyan Prasar
2. Developmen...
Resource Mobilization: 3 projects ‘linked’ to the initiative
Feeds
1. Enhancing dairy-based livelihoods in Tanzania and In...
Funding Resources
1. CGIAR Consortium
2. Sri Ratan TATA Trust (SRTT)
3. Bill & Melinda Gates Foundation
CGIAR is a global partnership that unites organizations engaged in research for a food secure future. The CGIAR
Research P...
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Update on the smallholder dairy value chain project in India

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Presented by Vamsidhar Reddy at the India Smallholder Dairy Value Chain Strategy and Implementation Planning Workshop, Hyderabad, 27-28 August 2014

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  • The spatial heterogeneity of bio—physical and socio-economic pattern is quite big
  • In Blue what we have already done in read what possibly should be done today
    Target zone = we want to capture high poverty with livestock, and also a urban and rural component
  • In Blue what we have already done in read what possibly should be done today
  • We used the poverty map, and used the median to define high and low (right map), then we have aggregated this result to district level (left map)
    Is the median a good value? We will discuss this just later on…
  • The two district level maps into a domain maps that shows identify zone where both poverty and bovine density is high
  • We propose to select site from the green areas as first priority, from red and orange as second priority of no agreement can be found but not from the white zone.
    If it becomes an issue, rural to rural and rural to urban will be introduced while selecting the blocks with the selected district at a later stage.
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  • Page title minimum of 30 points and maximum of two lines
    Main point 6 point smaller than slide title
    Bullet points 4 point less than main point
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    You have to duplicate this slide for more inside pages
  • Update on the smallholder dairy value chain project in India

    1. 1. Update on the smallholder dairy value chain project in India Vamsidhar Reddy ILRI-India India Smallholder Dairy Value Chain Strategy and Implementation Planning Workshop, Hyderabad, 27-28 August 2014
    2. 2. The Key Challenges Insufficient smallholder participation and competitiveness Lack of appropriate input provision and input markets Unreliable and unsatisfactory AI services Inadequate availability and lack of quality control of commercial concentrate feeds Inputs and Services Production Feed Scarcity Poor animal breeding/ lack of widespread availability of improved animal genetics Lack of integrated service packages Transport and processing Lack of cost efficient milk collection Lack of value addition at local level Marketing Inefficient informal milk markets Linkages between informal and formal milk markets Poor milk quality in informal markets Cross-cutting New approaches for technological interventions Multi-Stakeholder Knowledge sharing ~ Policy advocacy Application of ICT in Dairy to improve efficiency Gender Issues Environmental Issues
    3. 3. Vision: a more inclusive and sustainably intensive transformation of small-holder dairy value chains in India. Long term goals – ‘working statements’!
    4. 4. How to get there – Impact Pathways • Innovative and appropriate strategies and technologies improving postproduction handling of dairy products • Institutional arrangements for farmers’ sustainable access to knowledge, inputs and services • Dairy animal genetics platforms and strategies for improving dairy animals productivity • Nodal institutions to enhance linkages among value chain actors and influence policy • Innovative technologies and strategies for reducing production costs
    5. 5. Where are we in the process?
    6. 6. Huge heterogeneity in bio-physical and socio-economic context  Identify a small number of representative research locations:  That capture the gradient of key variables  provide opportunity for good research and impact Site selection
    7. 7. Multi-step procedure 1. Define State for the dairy value chain  Based on poverty, milk production, consumption, and productivity gap indicator 2. Define the target zone 3. Spatial stratification and selection of ‘potential sites’  Based on the ‘hard’ criteria  Representing the different contexts/environments 4. Scoring of potential sites  Based on the ‘soft’ criteria  ‘Impact’ indicators and ‘ease of working’ indicators  Groundtruthing 5. Agreement on final set of sites
    8. 8. Multi-step procedure 1. Define State for the dairy value chain  Based on poverty, milk production, consumption, and productivity gap indicator  Bihar was selected 2. Define the target zone 3. Spatial stratification and selection of ‘potential sites’  Based on the ‘hard’ criteria  Representing the different contexts/environments 4. Scoring of potential sites  Based on the ‘soft’ criteria  ‘Impact’ indicators and ‘ease of working’ indicators  Groundtruthing – during mid-Sep 5. Agreement on final set of sites – by end Sep
    9. 9. Density of poor people
    10. 10. Bovine density
    11. 11. GIS analysis Bovine density Density of poor
    12. 12. Combining the criteria
    13. 13. Ranking the Districts based on ‘Soft Criteria’ District C1: C2: C3 : C4: C5 : C6 : points without weighting points with stakholder weighting (0.3 partner and cattle, rest 0.1) points double for partner and cattle rank withou t ranking rank with stakholderank ing rank with double weighi ng Partners' strong presence Connectivity/ recheablility Existence of networks/dair y infrastructure Level of agricultural development Communities are organized/ social capital created Presence of large proportion of indigeneous cattle - Indian Govt policy Paschim Champaran 3 5 3 1 3 1 20 6 28 11 12 11 Purb Champaran 3 4 3 2 3 1 20 6 28 11 12 11 Sitamarhi 3 3 3 3 2 1 21 6.1 29 10 11 10 Muzaffarpur 1 2 1 2 1 2 27 7.2 36 4 3 2 Vaishali 1 1 1 1 1 3 28 6.8 36 1 5 2 Samasthipur 1 1 1 1 1 3 28 6.8 36 1 5 2 Siwan 4 6 5 3 3 3 12 3.7 17 15 15 15 Purnia 4 5 4 4 3 1 15 5 22 14 14 14 Gaya 2 2 2 2 2 1 25 7 34 8 4 6 Nalanda 1 1 1 2 1 2 28 7.3 37 1 1 1 Patna 1 1 1 2 1 3 27 6.7 35 4 7 5 Begusarai 2 2 1 1 1 3 26 6.1 33 7 10 8 Bhojpur 2 1 1 1 1 3 27 6.2 34 4 9 6 Rohtas 1 4 3 1 3 1 23 7.3 33 9 1 8 Madhubani 2 4 4 5 2 1 18 6.3 27 13 8 13
    14. 14. Assessments 1. Value Chain Scoping and Value Chain Analysis (VCA) – Planned in 2014 (Sep-Dec) 2. Capacity development needs assessment – Planned during November 2014 3. Best bet interventions identified – Planned during the Stakeholder workshop in January 2015 4. Baseline survey – Planned during 2015
    15. 15. Complementary activities 1. Situational analysis – Completed in 2014 (report finalized) 2. Workshops to define impact pathway – Completed in 2014 (report finalized) 3. Partnership landscaping/ Innovation capacity benchmarking study – Planned during 2014 (Sep-Dec)
    16. 16. Capacity development • Two students (from SupAgro, Montpillear) are planned to be associated for a short-term study in Bihar (Sep-Dec 2014)
    17. 17. Key partnerships and engagements 1. Strategic Research Partnerships • ICAR-RCER • BAU, SGIDT • Vigyan Prasar 2. Development Partnerships • COMFED/ Sudha Diary • BRLPS/ Jeevika • NGO (BAIF, CRS, Kausalya Foundation, CPSL/ Rojiroti, Pran, BASIX, Science for Society) • NABARD • Private dairy (Nandini, Gaya) • AHD of Govt of Bihar 3. Mechanisms for strengthening relationships • State-level and District-level Multi-agency Networks
    18. 18. Resource Mobilization: 3 projects ‘linked’ to the initiative Feeds 1. Enhancing dairy-based livelihoods in Tanzania and India through feed innovation and value chain development approaches (MilkIT) 2. Cereal Systems Initiative of South Asia (CSISA) Genetics Animal health Food safety/nutrition Markets/hubs 1. Enhancing livelihoods through livestock knowledge systems (ELKS) Gender (and above)
    19. 19. Funding Resources 1. CGIAR Consortium 2. Sri Ratan TATA Trust (SRTT) 3. Bill & Melinda Gates Foundation
    20. 20. CGIAR is a global partnership that unites organizations engaged in research for a food secure future. The CGIAR Research Program on Livestock and Fish aims to increase the productivity of small-scale livestock and fish systems in sustainable ways, making meat, milk and fish more available and affordable across the developing world. CGIAR Research Program on Livestock and Fish livestockfish.cgiar.org

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