Food Security
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Publication Assessing the determinants of tissue culture banana adoption in western Kenya(The African Journals Online, 2016-03-17) Wanyama, J. M.; Obare, G. A.; Owuor, G.; Wasilwa, L.In this study cross-section data was used to analyze the effect of farmers’ demographic, socioeconomic and institutional setting, market access and physical attributes on the probability and intensity of tissue culture banana (TCB) adoption. The study was carried out between July 2011 and November 2011. Both descriptive (mean, variance, promotions) and regression analysis were used in the analysis. A double hurdle regression model was fitted on the data. Using multistage sampling technique, four counties and eight sub-locations were randomly selected. Using random sampling technique, three hundred and thirty farmers were selected from a list of banana households in the selected sub-locations. The adoption level of tissue culture banana (TCB) was about 32%. The results also revealed that the likelihood of TCB adoption was significantly influenced by: availability of TCB planting material, proportion of banana income to the total farm income, per capita household expenditure and the location of the farmer in Kisii County; while those that significantly influenced the intensity of TCB adoption were: occupation of farmers, family size, labour source, farm size, soil fertility, availability/access of TCB plantlets to farmers, distance to banana market, use of manure in planting banana, access to agricultural extension services and index of TCB/non-TCB banana cultivar attributes which were scored by farmers. Compared to West Pokot County, farmers located in Bungoma County are more significantly and likely to adopt TCB technology. Therefore, the results of the study suggest that the probability of adoption and intensity of the use of TCB should be enhanced. This can be done by taking cognizance of these variables in order to meet the priority needs of the smallholder farmers who were the target group. This would lead to alleviating banana shortage in the region for enhanced food security. Subsequently, actors along the banana value chain are encouraged to target the intervention strategies based on the identified farmer, farm and institutional characteristics for enhanced impact on food provision. Opening up more TCB multiplication centres in different regions will make farmers access the TCB technology for enhanced impact on the target population.Keywords: Farmer, Adoption, Tissue culture banana, double-hurdle, model, West KenyaPublication Factors Influencing Adoption of Pigeon Pea and its Impact on Household Food Security in Machakos County, Kenya(Asian Journal of Agricultural Extension, Economics & Sociology, 2022-03-11) Emongor R. A.; Matiri F. M.; Magana A.; Wamaitha J.; Daniel A. M.; Mulindo J.A household survey was carried out in Kalama, Mwala and Yatta Sub-counties of Machakos County Kenya to obtain data on the current situation of pigeon pea value chain. A total of 414 households were interviewed in the month of October 2020. Data was analysed using descriptive statistics, Logit Model to determine factors that influence adoption of pigeon pea (Cajanus cajan L) using Statistical Package for Social Scientists (SPSS) version 20 Software. The HFIAS model was used to determine the impact of adoption of Pigeon Pea on household food security. The results of the descriptive statistics showed that there was low adoption of the Pigeon pea technologies and this implies that more needs to be done in creating awareness of the improved Pigeon pea varieties. The Logistic model results showed two factors that significantly influence adoption of Pigeon pea varieties by farmers. These were membership to a community group and access to credit. More needs to be done to increase adoption of the new/improved varieties in Machakos County, Kenya.Publication The effect of Common Interest Groups (CIGs) training on adoption of Indigenous Chicken Production Technologies in Ainamoi Sub County, Kericho County, Kenya(Paper Publications, 2018-07) Opunga, Jenipher N; Kibett, Joash K; Kere, George MAdoption of improved indigenous chicken technologies is key to ensuring increased productivity and supply of live birds and products to the market. The purpose of this study was to determine the effect of common interest group training on adoption of indigenous chicken production technologies in Ainamoi Sub County, Kericho County, Kenya. The focus was on demographic characteristics, organizational development trainings, indigenous chicken production technologies trainings as well as the extent to which CIG training affect adoption of chicken production technologies. The study applied descriptive research design. The target population was 291 indigenous chicken farmers from 16 CIGs. Primary data was collected from 117 indigenous chicken selected using stratified simple random sampling and 3 groups selected using purposive sampling. Interview schedules was used to collect data from indigenous chicken farmers while focused group guide used to collect data from the groups. Secondary data was collected from published and unpublished past studies, government reports, research publications and journals. Descriptive statistics was used to analyse data while Chi Square statistics used to test the null hypothesis that there is no significant effect of training on adoption of indigenous chicken production technologies. Results show that indigenous chicken farmers in CIGs were trained on organizational development aspects and indigenous chicken production technologies. The Chi square test revealed statistically significant (χ2 = 15.858, df =4, p = 003) since the alpha value was set at 0.05. We therefore reject the null hypothesis and conclude that CIG training has significant effect on adoption of the indigenous chicken technologies. The study therefore recommends frequent organized training on the various aspects of indigenous chicken production technologies especially feeding, housing and disease control for increased adoption and sustainable productivity hence increased income and food security.