Browsing by Author "Nyongesa, Geoffrey Mukhebi"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Adaptation Strategies to Rainfall Variability by Small Scale Dairy Farmers in Uasin-Gishu County, Kenya
    (Kenyatta University, 2024-04) Nyongesa, Geoffrey Mukhebi
    Dairy farming in Kenya remains among the key wheelers to the Nations GDP contributor at about 6- 8%. Majority of the farmers in this sector, are small scale who mostly have no knowledge and capacity to handle challenges posed by rainfall variability that causes frequent droughts, impacting on water and pasture supply to their animals. The research investigated the adaptation strategies to rainfall variability by small scale dairy farmers in Uasin-Gishu County in Kenya. Objectives of study were: To assess the extent to which rainfall variability had affected small scale dairy farming, to evaluate the adaptive mechanisms used by small scale dairy farmers in response to rainfall variability between years 2010-2020 and to investigate the challenges faced by these farmers in adapting to this condition. Rainfall data was collected from the Kenya Meteorological Department (KMD), Eldoret. While milk produce data was obtained from Ministry of Agriculture Uasin-Gishu County. Structured Questionnaires were used to collect data on adaptive mechanisms and its challenges. The questionnaire was administered to small scale dairy farmers who were sampled in a stratified manner based on their sub counties, then randomly within the Sub County. In total about 368 small scale dairy farmers were sampled out of which 300 (82%) of administered questionnaire were fully responded to. Analysis of objective one was done by Pearson correlation to establish the relationship between various rainfall characteristics and milk produce. Total annual rainfall with total annual milk had correlation of r= 0.53, number of rainy days in a year to the amount of milk with Pearson correlation of r =0.23, P>0.05. Onset and cessation periods had Pearson correlation of r=0.31 and r=0.02 respectively. Average monthly rainfall to milk had Pearson correlation indicating a negative relationship of r= -0.42, P= 0.17, meaning months with high rainfall amounts had lower milk produced while dry ones had higher milk produced. In the second and third objectives, SWOT analysis was used to analyze them. Adaption strategies were taken as strengths and included: Keeping resistant breeds, they also access loans from banks and co-operative societies and also farmers rely on stored hay and silage during dry conditions. Challenges to adaptation were weaknesses and included: constraint by lack of adequate funds, lack of enough knowledge and skills to implement adaptive strategies besides in adequate support from County government. Research recommended that farmers should keep more of cross breed animals which cope with climate variability unlike exotic ones. There was also need for farmers to join and strengthen cooperative societies to assist them adapt, this is besides use of digital methods of sharing challenges and solutions to rainfall variability. The research findings are expected to benefit policy makers and other stake holders in improving dairy sub sector besides offering a body of knowledge to further researches.