Deployment of Food Legume Technologies in Ethiopia: Achievements and Lessons Learned
This BOOK is the outcome of the collaborative endeavors of diverse partners and stakeholders addressing the challenges of seed systems and scaling faba bean and chickpea innovations in Ethiopia. It is the second of two BOOKs which focuses on...
The Chickpea Pod Borer, Helicoverpa armigera (Hübner): Yield Loss Estimation and Biorational Insecticide Assessment in Morocco
Helicoverpa armigera (Hübner) is considered one of the most destructive insect pests of chickpea crops in Morocco; however, the extent of the yield loss it causes in Morocco is unknown. This study assessed the yield losses and pod damage caused...
ICARDA’s Soil, Water and Agronomy (SWA) Team in partnership with Food and Agriculture (FAO) will hold a dryland agriculture session in the FAO’s 2nd Global Framework on Water Scarcity and Agriculture (WASAG).
An alternative water-fertilizer-saving management practice for wheat-maize cropping system in the North China Plain: Based on a 4-year field study
Developing an alternative water-fertilizer-saving management practice for winter wheat-summer maize double cropping system in the North China Plain (NCP) is urgent to address severe water scarcity and adverse environmental impacts. A four-year...
CGIAR Barley Breeding Toolbox: A diversity panel to facilitate breeding and genomic research in the developing world
Breeding programs in developing countries still cannot afford the new genotyping technologies, hindering their research. We aimed to assemble an Association Mapping panel to serve as CGIAR Barley Breeding Toolbox (CBBT), especially for the...
Incorporation of Organic Growth Additives to Enhance In Vitro Tissue Culture for Producing Genetically Stable Plants
The growing demand for native planting material in ecological restoration and rehabilitation for agro-silvo-pastoral ecosystems has resulted in a major global industry in their sourcing, multiplication, and sale. Plant tissue culture is used for...
Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments
Crop yield prediction is critical for investigating the yield gap and potential adaptations to environmental and management factors in arid regions. Crop models (CMs) are powerful tools for predicting yield and water use, but they still have...
