Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Update on the smallholder dairy value chain project in India
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. 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. Vision: a more inclusive and sustainably intensive
transformation of small-holder dairy value chains in India.
Long term goals – ‘working statements’!
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
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. 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. 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
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. 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. 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. Capacity development
• Two students (from SupAgro, Montpillear) are
planned to be associated for a short-term study in
Bihar (Sep-Dec 2014)
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. 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)
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
Notes de l'éditeur
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.
Page title minimum of 30 points and maximumof two lines
Main point 6 point smaller than slide title
Bullet points 4 point less than main point
Font type is Calibri
It is advised in one slide maximum 6 bullets
We recommend you use images on slides
You can change partner logos on front page
You have to duplicate this slide for more inside pages
Page title minimum of 30 points and maximumof two lines
Main point 6 point smaller than slide title
Bullet points 4 point less than main point
Font type is Calibri
It is advised in one slide maximum 6 bullets
We recommend you use images on slides
You can change partner logos on front page
You have to duplicate this slide for more inside pages