This is the first chapter of the book "Innovation platforms for agricultural development: Evaluating the mature innovation platforms landscape". It introduces the background, case study competition process, case study characterization and readers’ guide, and book outline. Characterization of the case studies includes their geographical spread, age and life stage of the platforms, and specific information on the multi-stakeholder processes, the content matter, platform support functions, and outcomes and impacts.
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.
Digital platform enhances genetic progress in community-based sheep and goat breeding programs in Ethiopia:
- Up-to-date information on estimated breeding values and animal rankings is directly channeled to breeder organizations and used for selection decisions.
- The digital platform motivated use of more complicated evaluation models which improve accuracy of breeding values considerably.
- When upscaled, this will help create a permanent multi-country source of information.
Innovation Platforms (IPs) are seen as a promising vehicle to foster a paradigm shift in agricultural research for development (AR4D). By facilitating interaction, negotiation and collective action between farmers, researchers and other stakeholders, IPs can contribute to more integrated, systemic innovation that is essential for achieving agricultural development impacts. However, successful implementation of IPs requires institutional change within AR4D establishments.
This blended learning program lead by ILRI draws on the practice briefs, the workshop experience and materials from partners including IITA, Wageningen University, ICRAF and FARA. It comprises an online component of 14 modules and a 3-day workshop. The final component of the course is a face-to-face workshop which provides learners with opportunities to apply their newly acquired knowledge to the challenges of their own platform or that of their peers. The workshop features role plays and collaborative group work based on actual scenarios.
Rapid Appraisal of Agricultural Innovation Systems (RAAIS) is a peer-reviewed research for development tool that has been developed, tested and used in 18 countries across 3 continents.
RAAIS supports the identification and analysis of complex agricultural problems in agrifood systems. The joint assessment of problems and identification of innovations to overcome these problems with farmers, policymakers, private sector and other stakeholders provides a starting point for collective action towards achieving development outcomes and impact.
Xanthomonas Wilt of Banana (BXW) is a complex problem in the African Great Lakes Region that is affecting the livelihoods of millions of smallholder farmers. Since the first disease reports from Uganda and the Democratic Republic of Congo in 2001, BXW has been studied widely. The majority of these studies focus on the technological or biophysical dimensions, while aspects and influence of socio-cultural, economic and institutional dimensions only recently started to gain attention.