Karine Chenu

The paper introduces a method to analyze genotype by environment interactions by examining environmental effects across growth stages, finding that early grain fill stages have the greatest impact on yield variance.

This study quantifies how legumes respond to combined heat and drought stress, finding that additive effects dominate over synergistic or antagonistic interactions.

This study evaluates the impact of delayed sowing on grain yield in kabuli chickpea germplasm, identifying genomic regions associated with seed number and phenology that could improve yield.

This paper identifies water stress response haplotypes in barley by integrating environmental covariates with genetic analysis to uncover adaptive genomic regions.

This study evaluates wheat yield predictions under combined CO2, warming, and water deficit conditions using APSIM and STICS models, finding significant prediction errors under combined stress.

The paper assesses climate factors' associations with chickpea yield and identifies spatial probabilistic patterns of heat and water stress in Australia, showing increased stress frequency with climate change.

This study identifies wheat genotypes with higher transpiration efficiency by developing a high-throughput phenotyping framework and shows their potential for drought-resilient breeding.

This paper uses UAV phenotyping and machine learning to predict barley root traits in the field, identifying genetic drivers of root gravitropism.

This study uses envirotyping to analyze genotype x environment interactions in wheat, showing stay-green traits improve yield across environments.

This review examines how wheat responds to combined effects of elevated CO2, warming, and water deficit, finding mixed impacts on productivity and water use.

This study identifies QTL associated with canopy closure timing in durum wheat that improve yield in rainfed environments without yield penalties.