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

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