Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population.

ABSTRACT:

Background

In the pig production industry, artificial insemination (AI) plays an important role in enlarging the beneficial impact of elite boars. Understanding the genetic architecture and detecting genetic markers associated with semen traits can help in improving genetic selection for such traits and accelerate genetic progress. In this study, we utilized a weighted single-step genome-wide association study (wssGWAS) procedure to detect genetic regions and further candidate genes associated with semen traits in a Duroc boar population. Overall, the full pedigree consists of 5284 pigs (12 generations), of which 2693 boars have semen data (143,113 ejaculations) and 1733 pigs were genotyped with 50 K single nucleotide polymorphism (SNP) array.

Results

Results show that the m

SUBMITTER: Gao N 

PROVIDER: S-EPMC6822442 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature