This study measures the economic contribution of International Rice Research Institute’s (IRRI) Germplasm Health Unit (GHU) to a breeding program that aims to avert yield losses from rice blast disease (Pyricularia oryzae Cavara) in Bangladesh. We first conceptualize the general pathways through which SHU contributes to the impact of international agricultural research.

Of the world’s 570 million farmers, 72% work on two hectares or less, and women’s labor comprises at least 50% (FAO, 2014). Small farms are responsible for 80% of world food production, making them key to addressing looming global food shortages (Lowder et al., 2016). Small farms in developing countries navigate a myriad of challenges, including access to information, quality inputs, capital, markets, and among others, land (FAO, 2014).

Traditional ethnic groups in Kenya are unlikely to eat a healthy and diversified diet due to many individual and environmental factors, which may result in poor health status. Therefore, the determinants of eating behavior need to be identified prior to any public health action. For this study, focus group discussions (15 in total) in a double-layer design were conducted, comprising

In recent years, information and communication technology, and genomic tools have respectively enabled crowd-sourced herd performance recording and fastening of genetic gains in dairy cattle. The African dairy cattle genetic gains (ADGG) program is a collaborative effort of International Livestock Research Institute, Livestock Development Institute, and other national and international partners to foster sustainable genetic improvement.

What are the interlinkages between climate change and variability, human mobility, and security? Where are the entry points for policies and programs that prevent climate-related mobility from causing conflict? What data gaps exist, and how can future research methodologies be designed to address them?

Efficient utilization of incident solar radiation and rainwater conservation in rain-fed smallholder cropping systems require the development and adoption of cropping systems with high resource use efficiency.

The extent of crop residues and agricultural byproducts utilization for their integration in feeding systems in Eastern DR Congo was assessed in South-Kivu (Walungu territoire) and two territoires in the Tanganyika province (Kalemie and Moba territoires). Data were collected through 21 focus group discussions in which 273 farmers participated including respectively 116 (42%) from South Kivu and 157 (58%) from Tanganyika province. A logistic regression model was used to determine factors influencing the adoption of crop residues and agro-industrial byproducts as livestock feeds.

Grassland pastures are crucial for the global food supply through their milk and meat production; hence, forage species monitoring is essential for cattle feed. Therefore, knowledge of pasture above-ground canopy features help understand the crop status. This paper finds how to construct machine learning models to predict above-ground canopy features in Brachiaria pasture from ground truth data (GTD) and remote sensing at larger (satellite data on the cloud) and smaller (unmanned aerial vehicles (UAV)) scales.