Masanori Yamasaki

This study evaluates genomic prediction and GWAS in an expanded rice NAM population, finding that prediction accuracy plateaus at moderate marker density and training size, while GWAS benefits from higher density.

The paper introduces dpMIG-seq, a PCR-based method for high-throughput genotyping that improves polymorphism discovery in crop species compared to MIG-seq.

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.