The document summarizes the aims and approaches of the Livestock and Fish CGIAR Research Program. The program aims to increase the productivity of small-scale livestock and fish systems in sustainable ways to make meat, milk and fish more available and affordable to poor consumers. It plans to do this through technology development, value chain development, targeting interventions based on tradeoffs across scales, and using modeling approaches to evaluate strategies and outcomes.
Workshop Trade-off Analysis - CGIAR_19 Feb 2013_CRP 3.3_Bjoern Ole Sander
Workshop Trade-off Analysis - CGIAR_19 Feb 2013_CRP 3.7_Mark van Wijk
1. More milk, meat and fish
by and for the poor
Livestock and Fish CGIAR Research Program
(CRP 3.7)
Mark van Wijk
2. 3.7 Livestock and Fish: Aim
To increase the productivity of small-scale
livestock and fish systems in sustainable
ways, making meat, milk and fish more available
and affordable to poor consumers across the
developing world
3.
4.
5. Themes
• Technology Development: Improved
technologies to sustainably increase
productivity and efficiency of livestock and
fish production (health, genetics, feeding)
• Value Chain Development: Development
strategies for pro‐poor, gender‐equitable value
chains for livestock and fish products
• Targeting, gender and impact assessment
6. Targeting
• LCA’s
• Ex-ante impact assessment across scales
(livestock
subsystem, farm, livelihood, community, lands
cape)
• Tradeoffs between productivity and
environment
8. Targeting: trade off across scales/levels
Multi-agent models,
land use models
Community rangeland, hydrology,
soil C and GHG models
Environment
Farm livelihood
Farm models: simulation
and optimization
9. Approaches envisaged: heavy computing
200
180
Initial population
N losses at farm [kg] (kg)
160
Farm N loss scale
140
120
100
80
0 1000
1 2000
2 3000
3 4000
4 5000
5 6000
6 7000
7 8000
8
Farm grain yield [kg]
Farm-scale maize grain production (t)
10. Approaches envisaged: more simple modelling
3000
3 years milk production kg / animal
2500
2000
1500
1000
500
0
500 600 700 800 900 1000 1100 1200 1300 1400 1500
average grain production over 10 yr run kg / ha / yr
11. Approaches envisaged: more simple modelling
3000
3 years milk production kg / animal
2500
2000
1500
1000
500
0
500 600 700 800 900 1000 1100 1200 1300 1400 1500
average grain production over 10 yr run kg / ha / yr
12. Approaches envisaged: more simple modelling
3000
3 years milk production kg / animal
2500
2000
1500
1000
500
0
500 600 700 800 900 1000 1100 1200 1300 1400 1500
average grain production over 10 yr run kg / ha / yr
13. Toys are in place, but…
• (rapid) parameterization / model testing
across sites
• Upscaling/outscaling
• Models good for strategic analyses, but how
meaningful on the ground