Genome-based trait prediction in multi- environment breeding trials in groundnut.

ABSTRACT:

Key message

Comparative assessment identified naïve interaction model, and naïve and informed interaction GS models suitable for achieving higher prediction accuracy in groundnut keeping in mind the high genotype × environment interaction for complex traits. Genomic selection (GS) can be an efficient and cost-effective breeding approach which captures both small- and large-effect genetic factors and therefore promises to achieve higher genetic gains for complex traits such as yield and oil content in groundnut. A training population was constituted with 340 elite lines followed by genotyping with 58 K 'Axiom_Arachis' SNP array and phenotyping for key agronomic traits at three locations in India. Four GS models were tested using three different random cross-validation schemes (CV0,

SUBMITTER: Pandey MK 

PROVIDER: S-EPMC7547976 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature