Under Sustainable Animal Productivity, one of the CGIAR initiatives, use of improved forages is key towards increased ruminant productivity. Given the diverse ecologies, matching species/cultivars with suitable agroecological zone is better done through multilocational trials. In addition to increasing productivity, forages confer additional co-benefits including ecosystem services e.g. soil erosion control, sequestering carbon and providing business opportunities along the forages and livestock value chains.

The dynamic digitalization of agri-food systems has generated a call for a Responsible Research and Innovation (RRI) approach, emphasizing ethical and sustainable technology adoption. Existing RRI frameworks prioritize fair benefits distribution, data privacy, and stakeholder engagement, aiming for transparent governance and proactive risk management. Despite these efforts, challenges persist in responsible digital innovation, including an excessive focus on technology design, inadequate stakeholder engagement, and difficulties in comprehending digital transformation processes.

The Sustainable Intensification of Mixed Farming Systems (SIMFS) is a CGIAR initiative. This initiative ‘aims to provide equitable, transformative pathways for improved livelihoods of actors in mixed farming systems through sustainable intensification within target agroecological and socioeconomic settings. To achieve this, different methodologies, innovations, and practices have been implemented to understand and improve the agroecological/productive conditions to assess a benefit on nutrition, food security and welfare.

One of the main objectives of the Innovahubs model promoted within the regional Initiative AgriLAC Resiliente is to provide spaces for collaborative learning by promoting the exchange and participation of actors from the different regions of intervention in Honduras and Guatemala.

This work aimed at (1) reviewing published documents and reports to identify TIMPs with the potential for scaling to reduce GHGE, (2) identifying the constraints and challenges faced by different value chain actors in scaling aquatic food system TIMPs from the angle of low emission development, (3) identifying potential social, economic, and environmental co-benefits and spillover effects from scaling the TIMPs, and (4) conducting a stakeholder consultation in Kisumu County, Kenya, to map out aquaculture value chains and identify sources of emissions, and identify promising TIMPs for scalin

Crop type mapping is essential to agriculture applications, including yield estimates, crop planting acreage statistics, agricultural market predictions, and land use change analysis that support relevant decision-making. Since 2008, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) has produced the annual Cropland Data Layer (CDL) with 108 crop types and 26 other land-use types for the CONUS Climate Console at 30 meters spatial resolution.

The objective of this report is to analyze, mapping and select the main value chains with potential to integrate the agroecological principles in Tunisia. Based on the secondary data, rapid value chain analysis, focus group discussions at the living labs and participatory approach with the main stakeholders, three value chains were identified in Siliana and Kef governorates: olive oil, sheep meat and honey. The VC assessment according to agroecological principles conducted with the main actors places the olive oil VC as the major value chain with agroecological character.

This CGIAR Initiative on Aquatic Foods: Gender Equality and Social Inclusion (GESI) Strategy provides guidance on how to undertake AqFS research for development through a gender lens. The strategy’s main objectives are: (i) to ensure that there is gender inclusiveness and responsiveness in technological, social, financial and institutional innovations; (ii) to provide avenues for wealth generation and improving livelihoods of people relying on small-scale fisheries (SSFs) and sustainable aquaculture; (iii) to pave the