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
ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
Heat-tolerant wheat varieties, developed by ICARDA and Sudan’s Agricultural Research Corporation (ARC), are helping farmers adapt to the heat stress, however, bringing higher and more stable yields. Farmers across the wheatproducing regions of Sudan are now achieving up to six t/ha over successive growing seasons.
The impressive performance of improved varieties of high-yielding, heat-tolerant wheat developed in Sudan has convinced Nigerian decision makers that a viable solution to their country’s growing dependence on wheat imports is domestic production – a policy shift that will protect Nigerians from the vagaries of global commodity markets and strengthen national food security. The brief describes this solution.
Afghanistan-ICARDA programs have field tested a range of rural development approaches and practices. Many of these are ripe for scaling-up at national level and can contribute to the EU-Afghanistan National Priority Programs (NPP) 2017-2021.