Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice.

ABSTRACT: The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to specific environments, which holds a great potential to be used in rice breeding. To realize the multi-environment genomic selection, a robust training set with multi-environment phenotypic data is of necessity. Considering the huge potential of genomic prediction enhanced sparse phenotyping on the cost saving of multi-environment trials (MET), the establishment of a multi-environment training set could also benefit from it. Optimizing the genomic prediction methods is also crucial to enhance the multi-environment genomic selection. Using haplotype-based genomic prediction models is able to capture local epistatic effects which could be conserved a

SUBMITTER: He S 

PROVIDER: S-EPMC10247604 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature