The Participatory Market Chain Approach (PMCA), which aims to stimulate gender-responsive innovations in commodity chains, was used to improve the performance of ALVs market chains in central Uganda. This paper presents the results of applying the PMCA in a phased manner on the Indigenous African Leafy Vegetables (ALVs) commodity chain in the context of a collaborative research project implemented in central Uganda
This study sought to examine the gaps and draw lessons for effective Innovation platforms (IPs) formation using the case of the coffee IPs in the four districts of Luwero, Ntungamo, Bushenyi and Rakai in Uganda. Data were collected through key informant interviews with 32 actors of the coffee steering committees and from document review. Qualitative data analysis was conducted using content and thematic analysis
The aim of this study was to investigate the vulnerabilities of women involved in a bean value chain development intervention at the Maendeloe Innovation Platform in Eastern DRC. Specifically, the paper first discusses the roles of women and men in the value chain, what production resources and benefits they access and control, the role of the IP as a vehicle for women’s empowerment, and identifies women’s gender needs. Secondly, the paper identifies women’s vulnerabilities, and the capacities that the IP could build on, to support their participation in bean value chain development
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.
La production et la commercialisation de lait en Afrique de l’Ouest fait partie intégrante de l’économie et du mode de vie des familles d’éleveurs ruraux. La filière présente des potentiels de croissance certains avec un cheptel important, un secteur de la transformation dynamique et des débouchés en forte augmentation du fait de la croissance démographique et de l’urbanisation. Cette filière lait local est cependant aux prises à de nombreuses difficultés internes qui limitent fortement son développement.
This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.
Recently, a new approach to extension and climate information services, namely Participatory Integrated Climate Services for Agriculture (PICSA) has been developed. PICSA makes use of historical climate records, participatory decision-making tools and forecasts to help farmers identify and better plan livelihood options that are suited to local climate features and farmers’ own circumstances.