Yunping Chen

This study identifies additive genes as key contributors to yield heterosis in rice by analyzing their effects in homozygous and heterozygous backgrounds.

This study identifies heterosis-associated genes and metabolites in rice, showing additive and partially dominant genetic effects contribute to 17 agronomic traits and yield heterosis across species.

This study identifies structural variants (SVs) contributing to subspeciation and heterosis in rice, showing their role in gene expression and agronomic traits.

This study identifies metabolomic biomarkers for dynamic height heterosis in rice using machine learning and pathway analysis, showing robust prediction across diverse conditions.