14 pages, The study assessed the agricultural extension agents' climate change training needs in Abia state. Eighty-three extension agents were chosen for the study using a simple random sampling procedure. Questionnaire was used to collect data, which was then summarized using percentages, frequency counts, and the mean. The findings indicated that male agricultural extension agents comprised a majority (53%) of the state's agricultural extension agents. The average household contained between one and five members (60%). Only 10% have a master's degree, while the majority (69%) have a bachelor's degree. The average length of employment was 15 years. The study's findings indicated that there are still extension agents who are unaware of climate change (1%). Agricultural extension agents in the study area have a limited understanding of all six climate change statements. Extension agents provide significant climate change services to farmers, including technical advice on climate change ( =2.0), the establishment of Small Plot Adaptation Techniques (SPAT) to monitor the impact of climate change (=2.1), and educating farmers on appropriate agrochemicals for climate change adaptation (weed and pest control) ( =2.2). Additionally, the results indicated that understanding fundamental climate change concepts ( =3.7), utilising cultural practises to mitigate and adapt to climate impacts ( =3.4), and environmentally friendly management practises to mitigate and adapt to climate change ( =3.4) were the primary areas of need for climate change training among extension agents. Inadequate funding for training (=3.4), a lack of financial support from organizations ( =3.3), and an inability to access financial support from funders (=3.3) were the major barriers to attending climate change training for extension agents. Regular climate change seminars and training workshops for agricultural extension agents at the federal and state levels will help to improve their overall knowledge of climate change issues. The Agricultural Development Program should utilize Forth nightly training (FNT) meetings to educate extension agents about climate change issues.
12 pages., The study reported on in this paper investigated smallholder farmers’ access to extension services. The study sought to distinguish the varying degrees of access to services of smallholder farmers engaged in different production systems, that is, home gardening, field cropping, and livestock production. The study was conducted in Raymond Mhlaba Local Municipality in the Eastern Cape, specifically in two communities, namely Ngcabasa and Phathikhala villages. Research activities included a survey of 100 farmers as well as focus group discussions. Employing logistic regression analysis, the study aimed to understand what influences whether or not a smallholder farmer accesses extension. The study also used various types of comparative statistics (T-test) to assess the implications of access to extension support, for instance for production and farm income. The main findings of the study were that 68% of the farming households interviewed in Ngcabasa and 71% of those in Phathikhala had access to extension services. Farmers who had access to extension had more farm income in both enterprises compared to those who had no access to extension services. From the regression analysis, farmers who were more likely to receive extension support appeared to be those who were older, those with less education, and those farming with livestock.
13 Pages, This research was conducted to assess socio-economic factors influencing adoption of conservation agriculture in Moroto District of Uganda. The socio-economic factors, the level of conservation agriculture, and the constraints faced by the farmers were assessed. A cross-sectional research design was utilised to collect data from 80 farmers (adopters and non-adopters of conservation agriculture). Purposive random sampling was applied to select seven key informants in the two sub-counties of Katikekile and Nadunget, and four villages of Nakodet, Nakwanga, Napudes and Komare. Data were collected through personal observation, interviews, focus group discussions, and structured questionnaires. The Statistical Package for Social Sciences (SPSS) was used to generate descriptive and inferential statistics for quantitative data analysis. The binary probit model was used to determine the socio-economic factors influencing adoption of conservation agriculture. The findings indicate that there was a significant influence for gender (p<0.01), but a statistically significant influence for credit and extension services (p<0.05). Finally, the adoption rate of conservation agriculture is still low given the size of land dedicated to it by most farmers. Therefore, this study recommends that government and other institutions should strengthen the agricultural extension system, provide financial support and incentives, and sensitize farmers on conservation agriculture.
