Efficiency of genomic selection for breeding population design and phenotype prediction in tomato.

ABSTRACT: Genomic selection (GS), which uses estimated genetic potential based on genome-wide genotype data for a breeding selection, is now widely accepted as an efficient method to improve genetically complex traits. We assessed the potential of GS for increasing soluble solids content and total fruit weight of tomato. A collection of big-fruited F₁ varieties was used to construct the GS models, and the progeny from crosses was used to validate the models. The present study includes two experiments: a prediction of a parental combination that generates superior progeny and the prediction of progeny phenotypes. The GS models successfully predicted a better parent even if the phenotypic value did not vary substantially between candidates. The GS models also predicted phenotypes of progeny

SUBMITTER: Yamamoto E 

PROVIDER: S-EPMC5234485 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature