ICARDA, a regular contributor to past editions, will once again join global water and climate leaders at Cairo Water Week 2025. Held from 12 to 16 October 2025 at the Triumph Luxury Hotel in Cairo, Egypt, this year’s event will convene ministers...
ICARDA, UNDP, EU Unite for Climate Action and Food Security
Brussels, June 12, 2025 - Leaders from around the world laced up their walking shoes for a very special kind of diplomacy: the European Union (EU) Walk for Climate.
Genomic analysis association of tolerance to heat stress in subtropical Egyptian goats Raised in hot dry environment
The study investigated subtropical Egyptian goat populations (382 does) from different hot dry ecological zones (Upper Egypt, Coastal Zone of Western Desert, and New Valley Desert Oasis) to identify genes associated with tolerance to heat stress...
Multifunctional roles of intercropping in the management of insect pests affecting pulse crops: a comprehensive bibliometric analysis
Pulse crops such as faba beans, chickpea and lentils are an important contributor to the necessary food thanks to their richness of proteins and low-fat content, in addition to the presence of fibers and bioactive components. However, like all...
Exploring genetic variation and stripe rust resistance in ICARDA's spring bread wheat (Triticum aestivum L.) using GWAS in West Asia and North Africa (WANA) region
Stripe rust, caused by Puccinia striiformis f. sp. tritici, poses a major threat to global wheat (Triticum aestivum) production. This study assessed stripe rust resistance in 154 spring bread wheat genotypes from ICARDA, tested across four...
Transforming soil quality index predictions in the Nile River Basin using hybrid stacking machine learning techniques
This study highlights the importance of sustainable land management in preserving soil health and agricultural productivity, particularly in mitigating land degradation. Soil Quality Index (SQI) was assessed in Egypt’s Nile River Basin using 266...
A novel framework for flood susceptibility assessment using hybrid analytic hierarchy process-based machine learning methods
This study evaluates the effectiveness of the analytic hierarchy process (AHP) based on six machine learning models in predicting flood susceptibility in the Dwarakeswar river basin in Eastern India. Fifteen flood conditioning factors were...
Effects of Salinity Stress on Grasspea (Lathyrus sativus L.) and Its Wild Relatives: Morpho-Physiological Insights at the Seedling Stage
Salinity is a critical abiotic stress influencing plant growth. However, its effect on grasspea (Lathyrus sativus L.) remains insufficiently explored. The present study screened 24 germplasm accessions representing 11 Lathyrus species at the...
Gene expression study of durum wheat hybrids under water deficit conditions
Background The present study was conducted at the CerealMed project farm during the 2021–2022 and 2022–2023 growing seasons using a strip plot design with two replications. The objective was to evaluate durum wheat hybrids and six durum wheat...
Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre-breeding populations with enhanced whitefly tolerance
Cassava (Manihot esculenta Crantz) provides food security for over 500 million people in Sub-Saharan Africa (SSA). Whitefly (Bemisia tabaci) is a pest in this region that results in ca. 50% crop yield losses. Thus, it is important to develop...
