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Assessing and responding to
vulnerability in value chains:
rapid methods
Prioritizing locally appropriate CSA options
Caroline Mwongera
Farming Systems & Climate Change Scientist
International Center for Tropical Agriculture (CIAT)
February 2016
Prioritizing options: The CSA-RA Tool
Bioclimatic vars (worldclim)
Constraints, priorities
and needs differ
according to the context
and among different
groupsโ€ฆ
CSA-RA MethodologyCSA-RA Methodology
๏‚ง Farming systems
๏‚ง Community resources
๏‚ง Land & Soil health
๏‚ง Key organizations
๏‚ง Historical trends
๏‚ง Agricultural challenges
๏‚ง Current options
๏‚ง Barriers & constraints to
adoption of new
interventions
๏‚ง Existing Extension models
(e.g. demo plots, Farmer
groups)
๏‚ง HH size, farm size
๏‚ง HH food sufficiency
๏‚ง Labor (HH & hired)
๏‚ง Production (crop/livestock)
๏‚ง Yield
๏‚ง HH consumption
๏‚ง Sales
๏‚ง Off farm income
๏‚ง Remittances, donations,
savings
๏‚ง HH expenses
๏‚ง Agricultural inputs
The CSA-RA Methodology
o Crop & Livestock gender
association
o Opportunities for:
๏‚ง Women
๏‚ง Men
๏‚ง Youth
o Institutions
targeting/working with
different groups
Context analysis: Integrating
participatory and systematic methods
Climate vulnerability & Impacts
Erosion prevalence across Nwoya
district, Uganda
The CSA-RA: Context analysis
Understanding gendered perceptions & priorities Mapping partnerships for outscaling
Crop Association (%) to Men and Women
in Gulu, Uganda
Famer perception
of soil fertility
Kilolo, Tanzania
Nwoya, Uganda
Land & Soil Health Assessment
โ€ข Land
Degradation
Surveillance
Framework
(LDSF)
โ€ข Developed at
ICRAF by Tor
Vรฅgen et al.,
(2005)
Identify Gaps in Awareness & Use of
agriculture technologies
Awareness & Use of
agriculture
technologies is still
low!
Prioritize locally appropriate CSA
options by Gender & Agro-Ecology
Prioritization of agricultural practices in Lushoto,
Tanzania
โ€ข Indicators used by farmers to
prioritize agriculture technologies
in lowland zone
โ€ข Scale of 1 to 5, where 5 is most
important
Indicator Score
Yield 5
Income 4
Food security 5
Weed control 5
Soil fertility 1
Technical knowledge 3
Climate change 3
Labor availability 5
Capital/cost 4
Pest and disease control 5
Availability of equipment 3
Predicted Adoption rates & Impacts in maize Cropping Systems
in Lushoto, Tanzania
Manure
48%
51%
Fertilizer
Analyze Trade-offs & Impacts of
Prioritized options
Mean net farm income increases by a minimum 47%
(fertilizer) per farm per year
% of Vulnerable farms decreases by up to 50%
Policy/Research forums (AEDD)Policy/Research forums (AEDD)
Tracking & Outscaling Adoption
Participatory Monitoring - CSA Implementer &
5Q approach
National & District
Learning alliances
CSA Implementer
โ€ขRegister farmer in a
database
โ€ขTake mobile KAS
surveys
(Knowledge/Attitude/
Skills)
โ€ขDeliver CSA
Information to
facilitators and
farmers
โ€ขCollect map
information
Farmer give
feedback by
responding to
automated
phone-surveys
votomobile
โ€ขCollect farmers voice
through feedback
surveys
โ€ขDeliver CSA
knowledge to farmers
(text/voice)
Project managers
create structured
feedback for
agricultural
development
projects
5Q platform
Uganda
โ€ข 2014: CSA-RA in 4 Districts in IFAD grant PRELNOR
project site 2014 - 2016
โ€ข 2014-2016: 5 CSA Demonstration plots & trainings
โ€ข National and District Learning Alliances & Policy
dialogue Platforms
Kenya
โ€ข 2016: CSA-RA to be used for prioritizing adaptation
options in 15 counties
Tanzania
CSA-RA Prioritization in Action
Practices prioritized
with experts &
farmers by gender
and by AEZ
Practices prioritized
with experts &
farmers by gender
and by AEZ
Trade-off analysis of
prioritized options
Trade-off analysis of
prioritized options
Cost-benefit analysis
of options
Cost-benefit analysis
of options
Create
implementation and
business plans
Create
implementation and
business plans
โ€ข 2014: CSA-RA in 4 Districts in the Southern
Agricultural Growth Corridor of Tanzania (SAGCOT)
โ€ข 2014-2016: CSA Demonstration trainings
โ€ข National and District Learning Alliances & Policy
dialogue Platforms
THANK YOU!
http://dx.doi.org/10.7910/DVN/28703

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Assessing and responding to vulnerability in value chains: rapid methods for communities and commodities

  • 1. Assessing and responding to vulnerability in value chains: rapid methods Prioritizing locally appropriate CSA options Caroline Mwongera Farming Systems & Climate Change Scientist International Center for Tropical Agriculture (CIAT) February 2016
  • 2. Prioritizing options: The CSA-RA Tool Bioclimatic vars (worldclim) Constraints, priorities and needs differ according to the context and among different groupsโ€ฆ
  • 3. CSA-RA MethodologyCSA-RA Methodology ๏‚ง Farming systems ๏‚ง Community resources ๏‚ง Land & Soil health ๏‚ง Key organizations ๏‚ง Historical trends ๏‚ง Agricultural challenges ๏‚ง Current options ๏‚ง Barriers & constraints to adoption of new interventions ๏‚ง Existing Extension models (e.g. demo plots, Farmer groups) ๏‚ง HH size, farm size ๏‚ง HH food sufficiency ๏‚ง Labor (HH & hired) ๏‚ง Production (crop/livestock) ๏‚ง Yield ๏‚ง HH consumption ๏‚ง Sales ๏‚ง Off farm income ๏‚ง Remittances, donations, savings ๏‚ง HH expenses ๏‚ง Agricultural inputs The CSA-RA Methodology o Crop & Livestock gender association o Opportunities for: ๏‚ง Women ๏‚ง Men ๏‚ง Youth o Institutions targeting/working with different groups
  • 4. Context analysis: Integrating participatory and systematic methods Climate vulnerability & Impacts Erosion prevalence across Nwoya district, Uganda
  • 5. The CSA-RA: Context analysis Understanding gendered perceptions & priorities Mapping partnerships for outscaling Crop Association (%) to Men and Women in Gulu, Uganda
  • 6. Famer perception of soil fertility Kilolo, Tanzania Nwoya, Uganda Land & Soil Health Assessment โ€ข Land Degradation Surveillance Framework (LDSF) โ€ข Developed at ICRAF by Tor Vรฅgen et al., (2005)
  • 7. Identify Gaps in Awareness & Use of agriculture technologies Awareness & Use of agriculture technologies is still low!
  • 8. Prioritize locally appropriate CSA options by Gender & Agro-Ecology Prioritization of agricultural practices in Lushoto, Tanzania โ€ข Indicators used by farmers to prioritize agriculture technologies in lowland zone โ€ข Scale of 1 to 5, where 5 is most important Indicator Score Yield 5 Income 4 Food security 5 Weed control 5 Soil fertility 1 Technical knowledge 3 Climate change 3 Labor availability 5 Capital/cost 4 Pest and disease control 5 Availability of equipment 3
  • 9. Predicted Adoption rates & Impacts in maize Cropping Systems in Lushoto, Tanzania Manure 48% 51% Fertilizer Analyze Trade-offs & Impacts of Prioritized options Mean net farm income increases by a minimum 47% (fertilizer) per farm per year % of Vulnerable farms decreases by up to 50%
  • 10. Policy/Research forums (AEDD)Policy/Research forums (AEDD) Tracking & Outscaling Adoption Participatory Monitoring - CSA Implementer & 5Q approach National & District Learning alliances CSA Implementer โ€ขRegister farmer in a database โ€ขTake mobile KAS surveys (Knowledge/Attitude/ Skills) โ€ขDeliver CSA Information to facilitators and farmers โ€ขCollect map information Farmer give feedback by responding to automated phone-surveys votomobile โ€ขCollect farmers voice through feedback surveys โ€ขDeliver CSA knowledge to farmers (text/voice) Project managers create structured feedback for agricultural development projects 5Q platform
  • 11. Uganda โ€ข 2014: CSA-RA in 4 Districts in IFAD grant PRELNOR project site 2014 - 2016 โ€ข 2014-2016: 5 CSA Demonstration plots & trainings โ€ข National and District Learning Alliances & Policy dialogue Platforms Kenya โ€ข 2016: CSA-RA to be used for prioritizing adaptation options in 15 counties Tanzania CSA-RA Prioritization in Action Practices prioritized with experts & farmers by gender and by AEZ Practices prioritized with experts & farmers by gender and by AEZ Trade-off analysis of prioritized options Trade-off analysis of prioritized options Cost-benefit analysis of options Cost-benefit analysis of options Create implementation and business plans Create implementation and business plans โ€ข 2014: CSA-RA in 4 Districts in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) โ€ข 2014-2016: CSA Demonstration trainings โ€ข National and District Learning Alliances & Policy dialogue Platforms