Hiroshi Nakagawa

The paper develops methods that integrate day length data with genomic prediction tools to improve prediction of time-related traits like days to heading in unobserved environments.

This study shows that combining target populations with more diverse populations improves GWAS power for detecting QTNs, depending on genetic diversity metrics like FST and He.