This report synthesizes findings from seven country scoping studies on gender‐responsive approaches to rural advisory services (RAS) in Africa. The studies, which were conducted in Benin, Ethiopia, Ghana, Malawi, Nigeria, Sudan, and Uganda, were meant to identify existing policies, programmes, approaches, and tools into which gender considerations had been injected, and then to provide them as RAS to farmers, with specific focus on women and youth. The goal was to propose a road map for mainstreaming RAS to promote sustainable agriculture in Africa
The African Forum for Agricultural Advisory Services (AFAAS), a not-forprofit continental body was conceptualized for the promotion of efficient and effective Agricultural Advisory Services (AAS) in Africa. The continental body is to provide a central platform to facilitate lesson learning and information sharing amongst African countries to develop a pool of best fit knowledge, skills, technologies and experiences for easy access by users with the overall aim of improving rural livelihoods.
This report synthesizes findings from seven country scoping studies on gender-responsive approaches to rural advisory services (RAS) in Africa. The studies, which were conducted in (Benin, Ethiopia, Ghana, Malawi, Nigeria, Sudan, and Uganda), were meant to identify existing policies, programmes, approaches, and tools into which gender considerations had been injected, and then to provide them as RAS to farmers, with specific focus on women and youth
The objective of this consultancy assignment was to develop a concept and learning framework for AFAAS to use to systematically undertake lesson learning in AAS. The task was undertaken in the context of AFAAS being in its infancy and in the process of setting up its operational structures and instruments. The consultants therefore relied on conceptual thinking, literature review and their own experience, especially in the area of social learning and knowledge management.
This report, drawing on a rapid desk-based review, seeks to outline the potential role of Afican Advisory Services (AAS) in addressing climate change and explores how far AAS in sub-Saharan Africa (SSA) are able to respond to climatic and other pressures. Recommendations are outlined, indicating how AFAAS can help AAS to understand climate change better and become more ‘adaptive’ in their responses
This report is the result of a study that was carried out for the African Forum for Agricultural Advisory Services (AFAAS), to make an inventory of experiences with ‘market-oriented agricultural advisory services’ (MOAAS). Lessons learned have been drawn from the cases studied. These lessons are the basis for guidelines formulated for setting up market-oriented agricultural advisory services.
This Final report identifies best-fit practices, and makes recommendations on how to target women advisory service providers in capacity development programmes.
The project case-studies described in this document a range of local-level, mainly donor-funded projects in four countries (Sierra Leone, Benin, Uganda and Mozambique). These projects incorporate climate change in their design and rationale in different ways, but generally base themselves on broad-brush climate trends or climate uncertainty rather than on specific downscaled projections. They also demonstrate a continuum ranging from pure knowledge provision, through breeding, seed supply, input provision and marketing, to provision of hardware and infrastructure, especially in irrigation.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).