Multi-environment Genomic Selection in Rice Elite Breeding Lines.

ABSTRACT:

Background

Assessing the performance of elite lines in target environments is essential for breeding programs to select the most relevant genotypes. One of the main complexities in this task resides in accounting for the genotype by environment interactions. Genomic prediction models that integrate information from multi-environment trials and environmental covariates can be efficient tools in this context. The objective of this study was to assess the predictive ability of different genomic prediction models to optimize the use of multi-environment information. We used 111 elite breeding lines representing the diversity of the international rice research institute breeding program for irrigated ecosystems. The lines were evaluated for three traits (days to flowering, plant height,

SUBMITTER: Nguyen VH 

PROVIDER: S-EPMC9908796 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature