The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.
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
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
A value chain study on sweet potato was conducted in 11 districts of Malawi across all the three regions to analyze and identify bottlenecks and inherent opportunities for possible investments for upgrading and development of the value chain. The study applied both quantitative and qualitative methods to collect primary data from 94 farmers belonging to 7 farmer groups using Focus Group Discussions (FGDs), 14 traders and 16 key informants comprising policy makers, NGO representatives and scientists from both local and international research institutions.
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.
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
This paper uses a Rural Investment and Policy Analysis (RIAPA) model for the mainland Tanzania economy to identify the agricultural activities and value-chains whose expansion will be most effective at fostering economic development along four dimensions: generating economic growth in the agricultural-food sector of Tanzania; reducing national and rural poverty; generating employment; and improving nutrition by diversifying dietsThe results of scenarios run through the model suggests that there is no single value-chain that can achieve all of the policy objectives.
This study investigated how value chain governance influences farmer participation in vegetable markets and food security in Kenya. This study employed exploratory case study design to provide chain architecture, isolate primary actors, their roles, relations, constraints and opportunities for upgrading by smallholders.
In Yatta sub-County, a semi-arid land, there is scanty information on the causes and effects of climate change, as well as agricultural adaptation strategies. This scanty information assessment of climate related risks, and decision making about appropriate adaptation measures. A survey was conducted in two wards of Yatta, Kenya, to identify opportunities for building farmer capacity in dealing with climate variability.
This study sought to explain how leadership mechanisms enabled the actors in coffee innovation platforms to achieve their expectations. Data was collected through key informant interviews with 26 actors of the coffee steering committees; three focus group discussions of 19 participants and document review. Analysis was done using content and thematic analysis.