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;
One of the most important things that innovation platforms do is to build the capacity of their members to innovate. Some key elements of innovation capacity include: self-organization, learning new skills, changing mindsets, valuing others’ roles in innovation, having a holistic view, being able to adapt to changing situations, creating new ideas, recognizing opportunities, being proactive, using indigenous ideas, and looking to the future. This brief uses the analogy of a traditional African cooking pot to explain how innovation capacity is developed within an innovation platform.
In recent years, the international status of agriculture in the BRICS countries—Brazil, Russia, India, China and South Africa—has been continuously improved. In 2018, the gross agricultural production of the BRICS countries accounted for more than 50% of the world’s total. Further strengthening the developing cooperation of the BRICS countries is of great significance for ensuring global food security.
In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household.
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.
The use of digital technologies has been recognized as one of the great challenges for businesses of the 21st century. This digitalization is characterized by the intensive use of information technologies in the different stages of the value chain of a sector. In this context, smart agriculture is transforming the agricultural sector in terms of economic, social, and environmental sustainability.
2015 a été une année marquante pour l’avenir de la planète et donc pour l’avenir de chaque femme, chaque homme, chaque enfant, fille ou garçon, aux quatre coins du monde. Deux événements importants – le Sommet des Nations Unies sur le développement durable 2015 et la COP21, sur le développement et le changement climatique, ont donné lieu à des engagements concrets et sans précédent à l’échelle mondiale pour éradiquer la pauvreté d’ici à 2030 et promouvoir la protection de l’environnement.
As calls for bolstering environmental services on croplands have grown more insistent during the past two decades, the search for ways to foster sustainable, reduced input agriculture has become more urgent. In this context authors re-examine by means of a meta-analysis the argument, first proposed by Robert McC. Netting, that small scale, mixed crop – livestock farming, a common livelihood among poor rural peoples, encourages environmentally sustainable agricultural practices.
Rationale Documentation is a vital part of CDAIS project’ objective to test the theory of change in pilot countries because it will enable to record the process of capacity development in agricultural innovation systems. At the same time, documentation will help CDAIS in delivering on public information targets, complying with requirements of its main donor and provide material for communication for development.
We analyse the impact of intensity of tillage on wheat productivity and risk exposure using panel household-plot level data from Ethiopia. In order to control for selection bias, we estimate a flexible moment-based production function using an endogenous switching regression treatment effects model. We find that tillage has a complementary impact on productivity and risk exposure. As the intensity of tillage increases, productivity increases and farmers’ exposure to risk declines. Our results suggest that smallholder farmers use tillage as an ex-ante risk management strategy.