8 pages, Agricultural extension can be defined as the entire set of organisations that support and facilitate people engaged in agricultural production to solve problems and to obtain information, skills and technologies to improve their livelihoods and well-being. Extension officials should ensure that farmers are engaged and capacitated so that they can make production decisions that are not in conflict with nature, yet such decisions ensure that their well-being is improved. With 75% of the world’s poor living in rural areas, the topic of improved agriculture through agricultural extension is viewed as central to poverty reduction. There have been questions posed by stakeholders (communities, policy-makers and politicians) about the non-visibility and accountability of agricultural extension in the communities that it is supposed to help. There are however a number of factors (perceived or real) that make agricultural extension less or not visible nor accountable. Therefore, this paper investigates and proposes a theoretical framework or model to ensure that agricultural extension is visible and accountable to all stakeholders. This will in turn ensure that there are noticeable increases or improvement of the lives of the resource poor farmers and communities.
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.