Phytosanitary management of ICARDA’s germplasm seed collections for safe movement and better future use
Germplasm exchange from international genebanks and breeding programs is vital for successful crop improvement programs. More than 10,000 different accessions of wheat, barley, lentil, faba bean, chickpea, grasspea, and pasture and forage crops...
MegaSSR: a web server for large scale microsatellite identification, classification, and marker development
Next-generation sequencing technologies have opened new avenues for using genomic data to study and develop molecular markers and improve genetic resources. Simple Sequence Repeats (SSRs) as genetic markers are increasingly used in molecular...
COP28 and Beyond - ICARDA's Role in Addressing Climate Change Challenges
ICARDA alongside CGIAR sister centers participated in the UNFCCC 28th Conference of the Parties (COP28) which took place in Dubai, the United Arab Emirates (UAE), from November 30 to December 12, 2023.
Evaluation of selected fodder species for alley cropping systems
This study examined various shrub species integrated into field crops (wheat, vetch, barley), including leguminous varieties (Medicago arborea, Colutea istria, Coronilla glauca), Atriplex species (A. canescens, A. nummularia, A. undulata), and...
Nitrogen Use Efficiency Using the 15N Dilution Technique for Wheat Yield under Conservation Agriculture and Nitrogen Fertilizer
Conservation agriculture (CA), which could contribute to sustainable agriculture, maintains or improves soil nitrogen fertility by eliminating tillage (no-tillage). Quantitative assessment of soil constituents is enhanced by stable isotope...
Isolation, identification and pathogenicity of local entomopathogenic bacteria as biological control agents against the wild cochineal Dactylopius opuntiae (Cockerell) on cactus pear in Morocco
The Opuntia ficus-indica (L.) cactus, a crucial crop in Morocco, is threatened by the wild cochineal, Dactylopius opuntiae (Cockerell). The aim of this research was to investigate the efficacy of nine bacterial strains against both D. opuntiae...
By Dr. Ismahane Elouafi, Executive Managing Director, CGIAR, and Aly Abousabaa, Regional Director, Central and West Asia and North Africa, CGIAR / Director General ICARDA.
Integrating APSIM model with machine learning to predict wheat yield spatial distribution
Traditional simulation models are often point based; thus, more research is needed to emphasize spatial simulation, providing decision-makers with fast recommendations. Combining machine learning algorithms with spatial process-based models...
Genetic Diversity and Genome-Wide Association Study for the Phenology Response of Winter Wheats of North America, Western Asia, and Europe
Wheat is a staple food in many areas around the World. In the 20th century, breeders and scientists were able to boost wheat yield considerably. However, a yield plateau has become a concern and is threatening food security. Investments in...
