Torbert Rocheford

This paper integrates maize QTL data to identify genomic hotspots for multi-trait breeding, revealing functional classes and environmental influences on trait associations.

The paper identifies eleven biosynthetic genes explaining most of the natural variation in carotenoid levels in maize grain through QTL analysis and expression correlation.

This study shows dominance and gene annotations improve genomic prediction of agronomic traits in maize hybrids.