This review seeks to assess the usefulness of innovation systems approaches in the context of the Integrated Agricultural Research for Development (IAR4D) in guiding research agendas, generating knowledge and use in improving food security and nutrition, reducing poverty and generating cash incomes for resource-poor farmers. The report draws on a range of case studies across sub-Saharan Africa to compare and contrast the reasons for success from which lessons can be learned.
This paper examines how the different institutional innovations arising from various permutations of linkages and interactions of ARD organizations (national, international advanced agricultural research centres and universities) influenced the different outcomes in addressing identified ARD problems.
"CDAIS is interesting for us because it is improving how we operate”, explains Francisco Venda, president of the Sementes do Planalto seed cooperative based in Bailundo. “We work with many partners, and the new skills have proved invaluable.” Since 2016, CDAIS has been working with this group, helping them to identify and agree their priority needs, and take steps to overcoming them. But much is yet to be done, though the high levels of energy and enthusiasm will ensure that progress will continue long after the project has ended.
Chickpea is an important crop in Ethiopia, but yields and grain quality remain poor. To help unlock the full potential, CDAIS has supported the value chain around the northern city of Gondar since 2016, in partnership with the N2Africa project. As a result of new platforms, experience sharing and developing a combination of new organisational skills and behavioural change, research and extension support services stopped telling and started listening, and joined forces in innovating together with farmers.
To ensure food security, farmers must have access to quality seed, in adequate quantities. The government of Ethiopia acknowledges this, and has responded by investing in improving the seed sector. However, as this example shows, not all challenges can be overcome by technical training and new technologies alone. A large seed cooperative union was faced with a problem that seriously affected their very existence. And the solution was not technical.
The term 'Integrated Agricultural Research for Development (IAR4D),' first coined in 2003, acknowledges the complexity of the agricultural system and the need to bring together not only different related research disciplines but also multiple actors (private sector, public sector, producer organisation and policymakers) to find joint solutions to the challenges of agricultural innovation. The book is produced in response traces the evolution of the concept back to its roots in an impressive range of theories and approaches from diverse disciplines, such as constructivism, participatory acti
The Government of Burkina Faso embraced innovation in agriculture many years ago, thus CDAIS could build on solid foundations. Six innovation niche partnerships were selected, each working on very different types of innovations, technically, socially or organisationally, and facing contrasting challenges for capacity development.
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.