Climate Change and Variability (1989 to 2019) and their Impact on Finger Millet (Eleusine coracana) Productivity in Kericho County

Enneth Chepkorir; Catherine Sang

doi:10.37284/ajccrs.4.1.2793

Enneth Chepkorir University of Nairobi
Catherine Sang, PhD University of Eldoret

DOI: https://doi.org/10.37284/ajccrs.4.1.2793

Sambaza Makala:

Ikisiri

Native foods have salient socio-cultural significance among many communities in Africa. In Kenya, certain food crops are important for cultural ceremonial functions. However, the food crops are relatively under threat in their availability due to climate change impacts and development. Finger millet (Eleusine coracana) is one of these traditional food crops. The main purpose of this study was to examine the impact of climate change variability on the productivity of finger millet which is culturally significant among the people of Kericho County. The climate data was obtained from the Kenya Meteorological Department, Kericho station. The statistical package for social sciences (SPSS) statistical tool was used to analyse the quantitative data obtained. Trend analysis from the focus groups was chronicled by notes taking and analysed using the NVIVO analytical tool, which analysed both qualitative and quantitative data. Results were discussed and presented in charts, tables and graphs. The responses were tested by adopting a statistical significance of p≤0.05. The R programming language analysis of temperature revealed an upward trend in the annual average temperature levels for the entire county over the period of interest. The results showed that precipitation has been erratic and fluctuating over the years. A general trend, however, indicated an overall decline in rainfall over the years of interest. The regression model analysis for the relationship between rainfall variability and average temperature on finger millet productivity since p-value = 0.041 and <0.05 at 95% confidence level, Precipitation/Rainfall has a positive significant impact on finger millet productivity. Also, p-value = 0.027 for Average Temperature implies there is statistical significance.

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