Genome-wide association study on dairy goat milk production traits using three models.

ABSTRACT:

Introduction

Identifying genetic markers associated with economically important traits in dairy goats helps enhance breeding efficiency, thereby increasing industry value. However, the potential genetic structure of key economic traits in dairy goats is still largely unknown.

Methods

This study used three genome-wide association study (GWAS) models (GLM, MLM, FarmCPU) to analyze dairy goat milk production traits (milk yield, fat percentage, protein percentage, lactose percentage, ash percentage, total dry matter, and somatic cell count). The goal was to identify SNPs and positional and functional candidate genes significantly associated with these traits.

Results

The GWAS analysis results identified a total of 242 significant SNPs. Among these, 45 SNPs exhibited genom

SUBMITTER: Huang Z 

PROVIDER: S-EPMC12411178 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature