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Engagement to help adapt Makueni County farming systems to climate change and variability
1. Engagement to help adapt
Makueni County farming
systems to climate change
and variability
AgMIP –
3rd February 2016
2. Guided by Makueni County
Integrated Development Plan:
2013-2017 & Kenya vision 2030
County stakeholders include Research
institutions whose role is:
(i) Research on appropriate farming
technologies
(ii) Research on viable crop and livestock
3. Ongoing CCAFS engagement
• Works with KALRO, ICRISAT, Makueni County
Dept of Agric, Livestock & Fisheries, and
farmers
• Pilot research involving participatory
evaluation and promotion of integrated
sorghum - legume technologies
• Led to the formation of two umbrella
community based organisations
6. Previous and ongoing research
engagement in Makueni
Look at the poster on “Making the best of our
climate: Understanding your climate –Kampi ya
Mawe”
7. Agricultural Model Intercomparison
and Improvement Project (AgMIP)
Adapting smallholder systems to climate
change and variability through a
stakeholder driven, multi-modeling
integrated assessment approach
9. How can farmers deal
with the current
climate variability?
TECHNO
LOGY
Below Normal
seasons
Normal seasons Above Normal
seasons
Sorghum
varieties
KARI MTAMA 1 Serena, seredo,
Gadam, KARI
Mtama 1
Serena, Seredo,
KARI Mtama 1,
Gadama
Climate information
services: SR 2011 - 2013
10. CCAFS IMPACT Lite
Datasets used. Pilot
Site: Wote, Eastern
Kenya
Farm population from 2012 survey
Sample of 200 households from 10X10 km
area
15. What is the impact on poverty?
OPP COST
Poverty Rate
for Entire
Population (%)
Poverty Rate
for Farmers in
System 1 (Non-
adopters)
Poverty Rate
for Farmers in
System 2
(Adopters)
-532.9163598 27.26289003 27.68907274 5.977902971
-399.6872699 26.16489055 27.69974175 7.747326501
-266.4581799 23.92081335 27.70372998 10.12546346
-133.22909 21.2686647 27.70418861 13.11977145
0 19.93299478 27.72135482 16.44532703
133.22909 20.49491456 27.77817315 19.45574063
266.4581799 21.71983028 27.88967714 21.49560583
399.6872699 22.49526587 28.06229064 22.45714271
532.9163598 22.76270381 28.29672655 22.7575542
Population poverty rate
decreases by 7%
16. Is this enough incentive for farmers?
System approach including other
elements??
What is feasible in Wote??