Optimization of sparse phenotyping strategy in multi-environmental trials in maize.

ABSTRACT:

Key message

The relatedness between the genotypes of the training and the testing set using sparse phenotyping experiments helps optimize the line allocation by utilizing the relationship measurements to reduce cost without compromising the genetic gain. The phenotyping needs to be optimized and aims to achieve desired precision at low costs because selection decisions are mainly based on multi-environmental trials. Optimization of sparse phenotyping is possible in plant breeding by applying relationship measurements and genomic prediction. Our research utilized genomic data and relationship measurements between the training (full testing genotypes) and testing sets (sparse testing genotypes) to optimize the allocation of genotypes to subsets in sparse testing. Different sparse phe

SUBMITTER: Mothukuri SR 

PROVIDER: S-EPMC11868319 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature