Page 65 in Review of Extension Research, January through December 1957. Summary of a survey for Agricultural Extension, Texas Agricultural College, College Station. 1957. 14 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: Byrnes2 Document Number: C12354
Notes:
Francis C. Byrnes Collection, Pages 850-881 in Borton, Raymond E. (ed.), Selected readings to accompany getting agriculture moving. Volume 2. Agricultural Development Council, New York, NY. 526 p.
7 pages, Agricultural extension is the medium through which external agricultural technologies have been transferred to and transplanted in Africa to improve agricultural performance. Over a period of close to a century, different agricultural extension models have been proposed but their structure and content has virtually been the same: top-down, linear, non-participatory transfer of technology with no feedback loops for reverse diffusion. This presumably explains the poor performance of Africa’s agriculture and the scale of food security challenges facing the continent. In this review paper, we trace the history of agricultural extension and examine various agricultural extension delivery models to identify their major strengths and weaknesses, using Ghana and Burkina Faso as case studies. We then review the most recent literature in the field about the philosophy, scope, content, delivery, and outcomes of agricultural extension. The conclusion that agricultural extension has consistently remained out of sync with the needs and aspirations of stallholder farmers was reached. Smallholder farmers are now calling for new agricultural extension delivery models that are truly farmer-led, indigenous knowledge-based, context-specific, culturally-relevant and environmentally-sustainable to guarantee efficient farming systems into the future.
16 pages, This study analysed the delivery of public agricultural extension services to the rural households of Idutywa, Eastern Cape. Primary data were collected from 75 participants. Descriptive and inferential statistics were used to analyse the data. Results revealed that there is generally a lack of access to extension services by households in the study area. Above all, the findings showed that access to agricultural extension services is influenced by limited movements, cellphone data, household size, and a limited number of farmers for training. Based on the control and treated variables, the Average Treatment Effect Treated from Kernel, Nearest Neighbours, and Radius matching methods were found to be negative which means that if farmers did not receive the program during the pandemic, the performance and yields were going to be very poor and low. The study recommends that extension officers should be empowered with modern tools to deliver need-based agricultural extension services in the future.
