Genome-wide association study and genomic prediction for hessian fly resistance in ICARDA’s elite bread wheat genotypes
The Hessian fly, scientifically known as Mayetiola destructor (Say), is an agricultural pest that causes a substantial decrease in wheat productivity, especially in dry countries like Morocco, where it can decrease yields by about 32–36% during...
Data-Driven Agronomic Solutions to Close Wheat Yield Gaps and Achieve Self-Sufficiency in Uzbekistan
CONTEXT Agriculture is a cornerstone of Uzbekistan's economy, accounting for 25 % to the national gross domestic product and employing 26 % of the workforce. Since independence, wheat intensification has been a national priority, with cultivated...
Advancing flood risk assessment: Multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin
The Mahananda River basin, located in Eastern India, faces escalating flood risks due to its complex hydrology and geomorphology, threatening socioeconomic and environmental stability. This study presents a novel approach to flood susceptibility...
Optimizing water-use efficiency under elevated CO₂: A meta-analysis of crop type, soil modulation, and enrichment methods
Elevated CO2 (eCO2) significantly affect the carbon-water cycle in terrestrial ecosystems especially for gas exchange and water use efficiency (WUE). Therefore, in this study, we have conducted a meta-analysis to quantitative statistical means...
Characterizing Wheat Rhizosphere Bacterial Microbiome Dynamics Under Salinity Stress: Insights from 16S rRNA Metagenomics for Enhancing Stress Tolerance
Salinity is one of the most important abiotic stress factors affecting wheat production. Salt in the soil is a major environmental stressor that can affect the bacterial community in the rhizosphere of wheat. The bacteria in the plant’s...
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality
Ensuring accurate predictions of wheat yield and nutritional content is vital for enhancing agricultural pro ductivity and food security. This study aims to improve wheat yield prediction by integrating process-based models (PBM), machine...
A Decision Support Tool for Stakeholder Engagement in Sustainable Land Management Using the WEFE Nexus: A Simulation for the Aral Sea Basin Stakeholders
Land degradation affects billions of people, particularly in developing countries, exacerbating poverty and climate change. Sustainable Land Management (SLM) practices offer solutions, but decision-making is complex and requires considering...
Exploring Nitrogen Use Efficiency in Cereals: Insight into Traits, Metabolism, and Management Strategies Under Climate Change Conditions – A Comprehensive Review
Nitrogen (N) is an essential element for cereals growth and development, playing a crucial role in productivity and yield. Consequently, nitrogen fertilizers are extensively used in cereal cultivation. However, the excessive fertilizer...
