Construction of prediction models for growth traits of soybean cultivars based on phenotyping in diverse genotype and environment combinations.

ABSTRACT: As soybean cultivars are adapted to a relatively narrow range of latitude, the effects of climate changes are estimated to be severe. To address this issue, it is important to improve our understanding of the effects of climate change by applying the simulation model including both genetic and environmental factors with their interactions (G×E). To achieve this goal, we conducted the field experiments for soybean core collections using multiple sowing times in multi-latitudinal fields. Sowing time shifts altered the flowering time (FT) and growth phenotypes, and resulted in increasing the combinations of genotypes and environments. Genome-wide association studies for the obtained phenotypes revealed the effects of field and sowing time to the significance of detected alleles, indicating th

SUBMITTER: Manggabarani AM 

PROVIDER: S-EPMC9358015 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature