Performance of phenomic selection in rice: Effects of population size and genotype-environment interactions on predictive ability.

ABSTRACT: Phenomic prediction (PP), a novel approach utilizing Near Infrared Spectroscopy (NIRS) data, offers an alternative to genomic prediction (GP) for breeding applications. In PP, a hyperspectral relationship matrix replaces the genomic relationship matrix, potentially capturing both additive and non-additive genetic effects. While PP boasts advantages in cost and throughput compared to GP, the factors influencing its accuracy remain unclear and need to be defined. This study investigated the impact of various factors, namely the training population size, the multi-environment information integration, and the incorporations of genotype x environment (GxE) effects, on PP compared to GP. We evaluated the prediction accuracies for several agronomically important traits (days to flowering, plant h

SUBMITTER: de Verdal H 

PROVIDER: S-EPMC11666020 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature