Bita Heidariask

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

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