Understanding niches for multi-purpose-legume intensification in smallholder farming
systems: Early applications of the decision-support Legume CHOICE tool in Ethiopia
Tamene Temesgen1, Alan J. Duncan1, Tadesse Birhanu2 and Peter Thorne1
1International Livestock Research Institute, Addis Ababa, Ethiopia, 2Oromia Agricultural Research Institute, Bako Agricultural Research Center, Bako, Ethiopia
Introduction
Legumes have great potential to contribute to rural livelihoods and natural
resource status, either in the form of food, income, feed, protein, soil nutrients
and fuel. However, the provision of a given function differs between legume
classes, types and species, and needs different intervention approaches. This tool
guides decision-making around legume interventions.
Research objectives
• To diagnose the farming system and related entry points for multi-
purpose legume intensification in farming system.
• To understand niches for identified legumes and design best-fit
legume interventions for different farmer types.
The Legume CHOICE tool has been applied following three steps :
• Qualitative assessment of the farming system;
• Context assessment of key attributes or constraints; and
• Community need assessment for different legume functions.
Implementation
sites
Field
site
Total
household
Ave.
altitude
Agro-
ecology
Market
access
Lalisa-Dimtu Diga 700 1306 Lowland Good
Fromsa Diga 550 2140 Mid-altitude Medium
Chillanko Jeldu 500 2943 Extreme highland Good
Kolu-Galan Jeldu 1150 2685 Highland Medium
Table 1. Description of Ethiopian Legume CHOICE project implementation sites
Materials and methods
Four implementation sites were selected from CRP Humidtropics field sites
(Table 1).
Results and discussion
• Output from the tool has helped to select the best legume-
intervention options (Table 2).
Qualitative assessment of the farming systems
• Livelihoods of the study areas depend on the crop-livestock farming
system.
• Legumes are a major component of this farming system
• Both grain, fodder and/or tree legumes are cultivated but on a very
limited share of the farmland.
Implementation
site/agro-ecology
Priority functions
Key context
constraints
Application of Legume
Choice tool
Intervention
description
Biophysical
requirement
How it fulfils
functional needs
How it fits to
context
Lalisa-Dimtu
(Lowland agro-
ecology)
Farmers looked for
livestock feed, soil
fertility improvement,
and fuel from tree
and fodder legumes.
Lack of planting
materials and soil
fertility degradation
Pigeon pea, Leuceaena
and Lablab identified as
best fits to serve priority
functions
Introduction/
supply of Pigeon
pea and
Leuceaenea
seeds/seedlings
Ideal for multi-
purpose production of
these legumes
Introduction leads to more
biomass production to feed
livestock and improved soil
fertility through BNF and
reduced erosion
Alleviates the
problems of
seeds/planting
materials shortages
Fromsa
(Mid-altitude agro-
ecology)
Kolu-Galan and
Chillanko
(Highland agro-
ecologies)
Farmers looked for
food, income, soil
fertility improvement
and feed from annual
grain legumes
Lack of improved
seeds, soil fertility
degradation, and high
disease incidence
Faba bean, field pea,
chick pea, lentil and
grass pea identified as
best fits to serve the
priority functions
Farmer-based
cluster high
yielding and
disease-tolerant
grain legume seed
production
Faba bean and field
pea: highland
legumes widely
adapted/ cultivated in
all farming systems
Improved seed production
leads to better access to seed
and high legume yield
production for food, income,
feed and soil fertility
improvement through BNF
Alleviates the
problems of
improved seed
shortage
Table 2. Examples of how Legume CHOICE tool helped in coming up with legume intervention activities in Ethiopia
Conclusion
• A range of constraints and production objectives in which the farming system operates need to be considered for legume intensification.
• Legume CHOICE decision-support tool has high potential to support selection of best-bet options for legume intensification
based on needs for a range of benefits that legumes can deliver (Fig. 2-3 and Table 2).
Legume production and productivity constraints
• Each community has a set of constraints that limit selection of
appropriate legume interventions options (Fig. 2)
Fig. 2. Example of key constraints for legume production as ranked by two different
communities: Result from context assessment of the tool
Demand for legume functions
• Each community demands different things of legume interventions
(Fig. 3).
• Farmer preferences for those candidate legumes can differ between
implementation sites (Table 2).
• Each legume fulfils the various legume functions to varying extents
(data not shown).
Fig. 3. Examples of farmers’ demand for legume functions as ranked by different farming
communities and by gender: Output from Legume CHOICE tool
Fig. 1. Logical flow of Legume-
CHOICE tool components
This poster is copyrighted by the International Livestock Research Institute (ILRI). It is licensed for use
under the Creative Commons Attribution 4.0 International Licence. March 2016

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Understanding niches for multi-purpose-legume intensification in smallholder farming systems: Early applications of the decision-support Legume CHOICE tool in Ethiopia

  • 1. Understanding niches for multi-purpose-legume intensification in smallholder farming systems: Early applications of the decision-support Legume CHOICE tool in Ethiopia Tamene Temesgen1, Alan J. Duncan1, Tadesse Birhanu2 and Peter Thorne1 1International Livestock Research Institute, Addis Ababa, Ethiopia, 2Oromia Agricultural Research Institute, Bako Agricultural Research Center, Bako, Ethiopia Introduction Legumes have great potential to contribute to rural livelihoods and natural resource status, either in the form of food, income, feed, protein, soil nutrients and fuel. However, the provision of a given function differs between legume classes, types and species, and needs different intervention approaches. This tool guides decision-making around legume interventions. Research objectives • To diagnose the farming system and related entry points for multi- purpose legume intensification in farming system. • To understand niches for identified legumes and design best-fit legume interventions for different farmer types. The Legume CHOICE tool has been applied following three steps : • Qualitative assessment of the farming system; • Context assessment of key attributes or constraints; and • Community need assessment for different legume functions. Implementation sites Field site Total household Ave. altitude Agro- ecology Market access Lalisa-Dimtu Diga 700 1306 Lowland Good Fromsa Diga 550 2140 Mid-altitude Medium Chillanko Jeldu 500 2943 Extreme highland Good Kolu-Galan Jeldu 1150 2685 Highland Medium Table 1. Description of Ethiopian Legume CHOICE project implementation sites Materials and methods Four implementation sites were selected from CRP Humidtropics field sites (Table 1). Results and discussion • Output from the tool has helped to select the best legume- intervention options (Table 2). Qualitative assessment of the farming systems • Livelihoods of the study areas depend on the crop-livestock farming system. • Legumes are a major component of this farming system • Both grain, fodder and/or tree legumes are cultivated but on a very limited share of the farmland. Implementation site/agro-ecology Priority functions Key context constraints Application of Legume Choice tool Intervention description Biophysical requirement How it fulfils functional needs How it fits to context Lalisa-Dimtu (Lowland agro- ecology) Farmers looked for livestock feed, soil fertility improvement, and fuel from tree and fodder legumes. Lack of planting materials and soil fertility degradation Pigeon pea, Leuceaena and Lablab identified as best fits to serve priority functions Introduction/ supply of Pigeon pea and Leuceaenea seeds/seedlings Ideal for multi- purpose production of these legumes Introduction leads to more biomass production to feed livestock and improved soil fertility through BNF and reduced erosion Alleviates the problems of seeds/planting materials shortages Fromsa (Mid-altitude agro- ecology) Kolu-Galan and Chillanko (Highland agro- ecologies) Farmers looked for food, income, soil fertility improvement and feed from annual grain legumes Lack of improved seeds, soil fertility degradation, and high disease incidence Faba bean, field pea, chick pea, lentil and grass pea identified as best fits to serve the priority functions Farmer-based cluster high yielding and disease-tolerant grain legume seed production Faba bean and field pea: highland legumes widely adapted/ cultivated in all farming systems Improved seed production leads to better access to seed and high legume yield production for food, income, feed and soil fertility improvement through BNF Alleviates the problems of improved seed shortage Table 2. Examples of how Legume CHOICE tool helped in coming up with legume intervention activities in Ethiopia Conclusion • A range of constraints and production objectives in which the farming system operates need to be considered for legume intensification. • Legume CHOICE decision-support tool has high potential to support selection of best-bet options for legume intensification based on needs for a range of benefits that legumes can deliver (Fig. 2-3 and Table 2). Legume production and productivity constraints • Each community has a set of constraints that limit selection of appropriate legume interventions options (Fig. 2) Fig. 2. Example of key constraints for legume production as ranked by two different communities: Result from context assessment of the tool Demand for legume functions • Each community demands different things of legume interventions (Fig. 3). • Farmer preferences for those candidate legumes can differ between implementation sites (Table 2). • Each legume fulfils the various legume functions to varying extents (data not shown). Fig. 3. Examples of farmers’ demand for legume functions as ranked by different farming communities and by gender: Output from Legume CHOICE tool Fig. 1. Logical flow of Legume- CHOICE tool components This poster is copyrighted by the International Livestock Research Institute (ILRI). It is licensed for use under the Creative Commons Attribution 4.0 International Licence. March 2016