Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.
Women often have less access to agricultural information than men, constraining their participation in decision-making on crops, technologies, and practices. In the design of agricultural extension programs, women may be viewed as insignificant actors in agricultural production. Moreover, even if their role is recognized, valuable information on production does not flow freely within the household from men to women.
This study examines interventions in two agricultural development projects in Ghana which aimed to build competitiveness of selected value chains to generate growth and reduce poverty – the Northern Rural Growth Project, implemented between 2009 and 2016, and the Market Oriented Agriculture Programme, which began in 2004 and is still in place.
Agrifood systems are powerful levers for improving livelihoods. They must also address an array of systemic challenges, including satisfying growing global food demand, improving diets, limiting greenhouse gas emissions, adapting to a warming climate, and sustaining the environment. Technology and innovation play a central role in meeting these challenges. This brief offers two policy recommendations to support the contribution of innovation. First, G20 countries should increase political and financial support to agrifood systems research in developing countries.
Also known as CD4AIS. This interactive guidebook brings together tools and resources to help practitioners design and implement capacity development activities with an innovation systems approach in mind. The guidance provided here is not prescriptive.
This study uses 344 women and men survey respondents involved in conservation agriculture (CA) and small-scale irrigation schemes (SSIS) as data sources for examining the effect of gendered constraints for adopting climate-smart agriculture amongst women in three areas in Ethiopia. Qualitative and quantitative data collections were applied using survey, in-depth interviews and focus group discussions. Quantitative data were analyzed using descriptive statistics, Pearson's chi-square test and binary logistic regression using statistical software for the social sciences (SPSS) version 24.
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
The mobile phone technology is an important tool to enhance farmers’ to access better marketing services, agricultural extension services, health extension services and other mobile services. This study also tried to assess rural households’ mobile phone usage status for different rural innovation services in Gomma Woreda, Southwest Ethiopia. Structured interview schedule, focus group discussion, key informant interview and personal observations were used as a method of data collection tools for this study.
This flyer described the collaboration between FAO and Agrinatura and in particular two main areas of activities:
1) Joint implementation of the EU-funded Capacity Development for Agricultural Innovation Systems (CDAIS) project from 2015 to 2019, in eight countries: Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Lao People’s Democratic Republic, Rwanda;
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.