Farming systems analysis in Ghana and Mali
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Transcript of Farming systems analysis in Ghana and Mali
Farming systems analysis in Ghana and Mali
Katrien Descheemaeker, Jeroen Groot
Mary, Gatien, Xu, Katja, Stephanie, Mirja
Wageningen University
Africa RISING West Africa Project Annual Review and Planning
Meeting, Accra, Ghana, 24-25 March 2015
Survey
Rapid characteriz.
Detailed description
Explorationinnovations
Functional typology
Structural typology
Systems(re)design
Extrapolation
Farm diagnoses
Tradeoff analysis
Farm innovations
Potentialimpact
Approach Learning cycles
On-farm trials Modelling
Stakeholder input
Ghana: Upper East, Upper West, Northern• Katja Kuivanen, Mirja Michalscheck, Stephanie Alvarez
Mali: Bougouni, Koutiala• Mary Ollenburger, Gatien Falconnier, Xu Youfei
Locations
Aim1. Capture variability of farming systems2. Understand heterogeneity in regions
Purpose1. Targeting and tailoring2. Scaling out; dissemination3. Selection of representative farms4. Scaling up; extrapolate to larger scale
Typologies
Major steps: 1. What is the objective? 2. Hypothesis on farming systems diversity3. Data collection4. Selection of key variables5. Clustering the farms6. Hypothesis and typology verification
Overall:Combine expert knowledge from participatory work with statistical analysis
https://humidtropics.cgiar.org/constructing-typologies-to-capture-farming-systems-diversityhttp://humidtropics.cgiar.org/openaccess/?did=231
Typology guidelines
Typologies Ghana
Katja Kuivanen
Typologies Ghana
Katja Kuivanen
Broad patternsExtrapolation
Local relevanceSocio-cultural sensitivity
Initial exploration of optionsExample for Ghana
Market oriented farms
High resource endowed farms
Next steps:- Refinement of tailored options- Participatory, model-based evaluation
of options- Productive, environmental and social
performance indicators- Intra- and inter-household gender
dynamics
Mirja Michalscheck
Typologies Mali
Market oriented farms
High resource endowed farms
Typologies based on resource endowment
Xu Youfei
Understanding drivers Mali
Market oriented farms
High resource endowed farms
Type 4
Type 1
Type 2Type 3
Long term trends in Koutiala:- No increase in input use – cotton crisis- Stagnant yields- Labour productivity declining
Gatien Falconnier; based on IER SEP database
Understanding driversMali
Mary Ollenburger; based on IER SEP database
Long term trends in Bougouni
Mary Ollenburger; based on IFPRI baseline database
Exploring the solution spaceMali
Distribution of 109 farms in Bougouni
Income: - 20% of farms can move out of poverty- 75% stay below poverty line
Food self sufficiency:- Most farms already food self-sufficient- Improvement for 20% of farms
Intensification?Narrowing yield gaps to 90th percentile yield
Mary Ollenburger; based on IFPRI baseline database
Exploring the solution spaceMali
T2Ctrl
T4T3
maize
sorghum
soyabean
cowpea
On-farm trials with basket of options
Market oriented farms
Niche identification
Based on:- Statistics: mixed model analysis- PANOVA: participatory analysis based on field visits and feedback workshops
Gatien Falconnier
Market oriented farms
Participatory scenario exploration
Type 1 Type 2
Type 3 Type 4
Gatien Falconnier
Conclusions
Farming systems analysis- Interdisciplinary and participatory- Combination of survey data, analysis of drivers, on-farm trials,
modelling, statistics- Multiple criteria- Adaptive learning cycles
Options - Relevant- Tailored to niches and farm types- Minimize trade-offs- Higher uptake potential
Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.
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