Tuong‐Vi Cao

This study evaluates genomic prediction models for arsenic tolerance and grain yield in rice using multi-environment and multi-trait approaches, finding improved predictive accuracy with advanced models.

This study uses genomic prediction with genotype by environment interaction to improve rice breeding for adaptation to alternate wetting and drying, showing multi-environment models outperform single-environment models.