Improvement of the accuracy of breeding value prediction for egg production traits in Muscovy duck using low-coverage whole-genome sequence data.

ABSTRACT: Low-coverage whole genome sequencing (lcWGS) is an effective low-cost genotyping technology when combined with genotype imputation approaches. It facilitates cost-effective genomic selection (GS) programs in agricultural animal populations. GS based on lcWGS data has been successfully applied to livestock such as pigs and donkeys. However, its effectiveness in poultry is poorly reported. Furthermore, due to the high linkage disequilibrium (LD) between markers and the high marker density in lcWGS data, it is necessary to explore how to effectively utilize lcWGS data for genomic prediction. Phenotypic data for egg production traits were collected from a population of 1491 Muscovy ducks, with 975 of them sequenced using low-coverage whole genomic sequencing at an average depth of ∼0.84x. In t

SUBMITTER: Ye H 

PROVIDER: S-EPMC11786738 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature