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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
Exploration
innovations
Functional
typology
Structural
typology
Systems
(re)design
Extrapolatio
n
Farm
diagnoses
Tradeoff
analysis
Farm
innovations
Potential
impact
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
Aim
1. Capture variability of farming systems
2. Understand heterogeneity in regions
Purpose
1. Targeting and tailoring
2. Scaling out; dissemination
3. Selection of representative farms
4. Scaling up; extrapolate to larger scale
Typologies
Major steps:
1. What is the objective?
2. Hypothesis on farming systems diversity
3. Data collection
4. Selection of key variables
5. Clustering the farms
6. Hypothesis and typology verification
Overall:
Combine expert knowledge from participatory work with
statistical analysis
https://humidtropics.cgiar.org/constructing-typologies-to-
capture-farming-systems-diversity
http://humidtropics.cgiar.org/openaccess/?did=231
Typology guidelines
Typologies Ghana
Katja Kuivanen
Typologies Ghana
Katja Kuivanen
Broad patterns
Extrapolation
Local relevance
Socio-cultural sensitivity
Initial exploration of options
Example 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 2
Type 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 drivers
Mali
Mary Ollenburger; based on IER SEP database
Long term trends in Bougouni
Mary Ollenburger; based on IFPRI baseline database
Exploring the solution space
Mali
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 space
Mali
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.
Thank You

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