Ye Bi

This study investigates the impact of trait measurement error on quantitative genetic analysis of pig body weight, finding no genetic influence on the error and equivalent heritability between scale-based and image-based measurements.

This study evaluates genomic prediction of metabolic content in rice grains under control and high night temperature conditions, finding moderate heritability and improved accuracy with non-additive models.

This study uses high-throughput phenotyping and genomic models to improve yield prediction in sesame by analyzing temporal trait dynamics and multi-trait associations.

This study compares single- and multi-environment genomic prediction models for agronomic traits in sesame, finding that multi-environment analysis improves prediction accuracy by 15%-58%.

This study uses metabolites and genomics to predict grain traits under high night temperature stress in rice, finding genomic prediction outperforms metabolic prediction.