Prioritizing Climate-Smart Agriculture Adaptation Options: The Case of Smallholder Farmers at Wiyumiririe Laikipia County, Kenya

International Journal of Agriculture & Environmental Science

© 2019 by SSRG - IJAES Journal

Volume 6 Issue 6

Year of Publication : 2019

Authors : Peter Mwangi Muchiri, Jacinta Mwende Maweu, Fredrick Kamande Karanja, William Otiende Ogara

10.14445/23942568/IJAES-V6I6P103

How to Cite?

Peter Mwangi Muchiri, Jacinta Mwende Maweu, Fredrick Kamande Karanja, William Otiende Ogara, "Prioritizing Climate-Smart Agriculture Adaptation Options: The Case of Smallholder Farmers at Wiyumiririe Laikipia County, Kenya," SSRG International Journal of Agriculture & Environmental Science, vol. 6,  no. 6, pp. 15-27, 2019. Crossref, https://doi.org/10.14445/23942568/IJAES-V6I6P103

Abstract:

This study sought to investigate how Climate-Smart Agricultural adaptation strategies can be identified and prioritized to help the smallholder farmers of Wiyumiririe, Laikipia County, Kenya improve food production and build resilience to climate change. The study adopted a transdisciplinary approach in which various players were engaged through a recursive process. Participating farmers were selected through systematic sampling and affirmative action while the NGO representative, agricultural extension officer, soil scientist and meteorologist were purposefully selected. Initially an assessment to determine the community vulnerabilities to climate change was carried out followed by determination of farmers’ perceptions and beliefs towards the changing climate. That information formed a basis for identifying and prioritizing suitable Climate-Smart Agriculture options for adaptation by use of Pair-wise ranking and multi-criteria analysis. Results indicated that the interventions that involved growing Sorghum (a drought tolerant crop) on parcels of land prepared by either double digging or making of Zai pits and which farmyard manure was incorporated, to be the most effective options. The choice of these interventions was based on the ability to capture and retain rainwater sufficient enough to sustain healthy crop growth. This was ideal since the study area falls under Arid and Semi-arid lands of Kenya, characterized by low, erratic rainfall and high temperatures.

Keywords:

Climate-Smart Agriculture, Pair-wise ranking, Multi-criteria analysis, belief typologies

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