Academic submissions (CAES)
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Browsing Academic submissions (CAES) by Subject "Agriculture"
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ItemDeterminants of transfer of training in agronomic and post-harvest practices among small holder farmers(Makerere University, 2018-12-19) Kiwanuka, JosephTraining is a critical investment if performance in any endeavour is to improve. However, training with no application will affect the achievement of such a goal especially in the field of agriculture. A study was conducted to i) determine whether the extent of transfer of agronomic and post-harvest training significantly differed between men and women bean seed farmers, ii) determine the trainee and training design factors that influenced the transfer process and iii) find out whether people viewed training design and trainee characteristics differently across age, education levels and wok experience. A sample survey of 301 bean seed farmers that were trained in 11 agronomic practices and 3 post-harvest handling skills was used. Generally the level of transfer of both trainings was very high (91%). There was no significant difference in the transfer between men and women on post-harvest training except in some five out of the eleven bean agronomy and post-harvest practices. The trainee factors that influenced the transfer of bean seed agronomic and post-harvest training were: ‘motivation for transfer’ (β=0.376, p < 0.001) and ‘performance self–efficacy’ (β=0.136, p < 0.01). The age bracket of 18 to 38 years and educational levels of primary and secondary had a significant effect on the way farmers perceived training design and trainee characteristics. It is clear that while the transfer of the two training areas was high, women had an edge in some areas. Additionally, ‘personal motivation’ and ‘personal self-efficacy’ played a critical role, attesting to the encouragement that comes when engaging in a business venture like bean seed production. Finally, when organizing training age and education level of the trainees need to be attended to as they are likely to influence the engagement during training as well as the level of transfer.
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ItemEvaluation of adaptation measures by smallholder Irish potato farmers to climate variability in Rubanda District, South Western Uganda(Elepu, J. (20190. Evaluation of adaptation measures by smallholder Irish potato farmers to climate variability in Rubanda District, South Western Uganda. (Unpublished master's dissertation). Makerere University, Kampala, Uganda, 2019-10) Elepu, JuliusThe study was conducted in Rubanda District with a general aim of evaluating the effectiveness of adaptation measures to climate variability used by smallholder Irish potatoes farmers. Specifically, the study set out to identify the adaptation measures, drivers and challenges to adaptation and evaluate the performance of these adaptation measures. A Cross-sectional survey was undertaken to collect data from 197 farmers using a combination of structured questionnaires and Focus Group Discussions; whilst key informant interviews were used to elicit data from purposively selected personnel from the local government as well as private and civil society organizations. Data was analyzed by way of generating descriptive statistics like the mean, mode, percentages, cross-tabulations and frequencies whilst relationships between the various variables were established by generating inferential statistics such as the standard multiple linear regression and Cobb-Douglas production function using SPSS Version 23. The adaptation measures used by smallholder farmers included growing adaptive seed varieties, fertilizer application, terracing, mulching, contour ploughing, changing planting dates, early planting among others. However, they are affected by several challenges including low funding, inadequate information, lack of a national policy on Irish potato production, inadequate human resource to handle climate adaptation issues, limited access to credit facilities and adulterated agricultural inputs. The major drivers to adaptation were presence of social network systems, access to credit, access to extension, high perceived risk of climate variability and support from institutions and organizations. Results further reveal that the effective measures are the use of technology, terracing, early planting, application of fertilizers and changing planting dates. For example, the Cobb-Douglas model revealed that the use of fertilizers was significantly positively associated with productivity of Irish potato (P < 0.001). The effectiveness of these measures can be improved through capacity building, increasing awareness, subsidizing the agro-inputs as well as promoting climate smart agriculture.