Stephanie M. Brunner

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.

The paper compares localGEBV and OHS fitness functions for parent selection in inbred crops using a novel R package, finding similar long-term genetic gains with dosage-based localGEBV offering simpler workflows.

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

This study shows that mungbean genotypes significantly influence subsequent wheat yield through legacy effects, suggesting opportunities to breed for system-level productivity in sustainable farming.

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