Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice.

ABSTRACT: Developing high yielding rice varieties that are tolerant to drought stress is crucial for the sustainable livelihood of rice farmers in rainfed rice cropping ecosystems. Genomic selection (GS) promises to be an effective breeding option for these complex traits. We evaluated the effectiveness of two rather new options in the implementation of GS: trait and environment-specific marker selection and the use of multi-environment prediction models. A reference population of 280 rainfed lowland accessions endowed with 215k SNP markers data was phenotyped under a favorable and two managed drought environments. Trait-specific SNP subsets (28k) were selected for each trait under each environment, using results of GWAS performed with the complete genotype dataset. Performances of single-environmen

SUBMITTER: Bhandari A 

PROVIDER: S-EPMC6502484 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature