- 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.
Since 2004, the Institutional Knowledge Sharing (IKS) Project, managed by CIAT, has focused on scaling up project activities in CGIAR Centers and Programs, with the aim of mainstreaming knowledge sharing (KS) principles and tools. The overall objective is to contribute to organizational development, and improve CGIAR effectiveness by promoting collaborative learning and innovation, and supporting effective use of KS approaches and tools throughout the CGIAR.
The “ONE WORLD – No Hunger” Initiative (SEWOH) by the German Federal Ministry for Economic Cooperation and Development (BMZ) is part of the G7 goal to free 500 million people from hunger and malnourishment by 2030. SEWOH intends to contribute significantly to reducing poverty and hunger in developing countries in general and Cameroon in particular. The Cameroonian project is part of the framework of the global project – “Green Innovation Centres for the Agriculture and Food Sector” (ProCISA).
African indigenous vegetables (AIVs) have the potential to increase food and nutritional security and contribute to improved livelihoods, but farmers’ capacity to meet the growing demand for them has been constrained by a lack of good quality seed and technical knowhow. The Good Seed Initiative (GSI), funded by Irish Aid and active in Tanzania from 2013 to 2015, targeted both seed and vegetable growers, linking them to markets through an innovation platform (IP) approach.
In Nepal, the Plantwise programme, in collaboration with International Development Enterprises (iDE), has established networks of locally owned plant clinics, run by community business facilitators (CBFs) trained as plant doctors, who provide practical plant health advice. This study examines how gender is integrated into this programme in three purposively selected study districts. It presents the experiences of farmers, the challenges they faced in accessing plant health services through a gender and social inclusion lens.
Gender integration focuses on applying a gender lens to look at how social relations of gender and underlying power dynamics affect men’s and women’s participation in and benefit from development programmes. In Plantwise, gender mainstreaming aimed to (1) understand gender relations and how they affected access to agricultural advisory services and adoption of plant health management practices, and (2) remove gender related barriers to access and adoption and improve gender equity.
This publication is one of four CABI briefings on climate change. The key messages in this briefing are:
• Farmers need timely, accurate, and clear advice on how to manage pest risks
• Digitally-enabled early warning systems can help farmers adapt and minimize losses
• The complex interactions between pests, plants, and the environment under future climate change scenarios need further research to determine best practices
• Scaling digital climate information services will require a sharp focus on equity and inclusion
This publication is one of four CABI briefings on climate change. The key messages in this briefing are:
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.