A study was conducted in a Rainshelter (RTrial) at Horticultural Research and Teaching Farm, Egerton University to determine the effect of integration of irrigation water, nitrogen (N) and phosphorus (P) application on seed potato leaf area index (LAI), stomatal conductance and chlorophyll content. The treatments arranged in a split-split plot layout in a completely randomised block design, consisted of three irrigation water rates (40%, 65% and 100% field capacity), four N rates (0, 75, 112.5 and 150 kg N/ha) supplied as urea (46% N), and four P rates (0, 50.6, 75.9, 101.2 kg P/ha) supplied as triple superphosphate, replicated three times and repeated once. During the growth leaf area, stomatal conductance, and chlorophyll content were measured. Data collected were subjected to analysis of variance and significantly different means separated using Tukey's Studentized Range Test at P≤0.05. Leaf area index was greater with high irrigation water at 100%, N at 150 kg N/ha and P at 101.2 kg P/ha, which was 2.6 and 1.3 at 51 days after planting (DAP) and 3.5 and 3.1 at 64 DAP. Furthermore, low irrigation water rate at 40% together with low N and P rates of 0 kg N/ha and 0 kg P/ha had the least LAI, which was 0.28 and 0.19 at 51 DAP and 0.28 and 0.24 at 64 DAP both in RTrials I and II, respectively. Subjecting potato to 100% compared to 40% 16.2 and 16.5, 19.8 and 19.6, and 15 and 20.3, when integrated with high compared with low N and P application rates at 59, 73 and 87 DAP, in RTrials I and II respectively. Irrespective of N and P rates LAI, stomatal conductance and chlorophyll content were significantly greater with high irrigation water at 100% followed by 65% and was lowest with 40% irrigation water rate.
Background: Agribusiness loans advanced by Agricultural Finance Corporation (AFC) in Mount Kenya Region have high default rate of 20.33% which compares unfavourably with 10% benchmark for all types of loans in Kenya. This is a challenge, given the strategic importance of agribusiness credit in mainstreaming livelihoods to alleviate poverty by offering occupational and professional opportunities. This study aimed at analysing effect of borrower’s socio-economic profile on AFC loan default rate in agricultural finance corporation, Mount Kenya Region. Methods: According to AFC records Mount Kenya region represents a branch network of 11 branches and a population of 3,002 agribusiness borrowers. Using a descriptive research design a sample of 300 borrowers was drawn from a combined list through systematic random sampling technique with an interval of ten. Primary data on borrower’s socio-economic profile was collected using a structured questionnaire. The data was analysed using Statistical Packages for Social Sciences (SPSS V.27) and Stata version. Using regression analysis, the effect of independent and dependent variable to predict default rate was estimated. ANOVA was performed to get the F-statistic so as to test for the adequacy of the regression model. The logit econometric model was used to specify the statistical relationship between the independent variable and AFC loan default. Results: Results of the study revealed that multiple borrowing and borrower-lender distance were significant at 5%. Farming experience, borrowing experience and off-farm income were significant at 10%, 5% and 1% levels of significance. Multiple borrowing and borrower-lender distance were found to have 5.5% and 0.8% associations with default rate, respectively. Conclusion: The findings show that to mitigate default, the borrower should avoid multiple borrowing and manage the friction of distance. The study is significant since it enlightens the credit stakeholders on collective efforts that are effective in addressing the problem of default. The study recommends government interventionist policy by facilitating uptake of agricultural insurance and subsidizing input costs. Borrowers are encouraged to embrace technology, team up as farming communities to look for markets and affordable inputs, adopt agricultural insurances and adhere to lending directives.
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