Estimation of Genetic Parameters for Carcass and Meat Quality Traits Using Genomic Information in Yorkshire Pigs
2025
Yangxun Zheng | Fuping Ma | Xitong Zhao | Yanling Liu | Quan Zou | Huatao Liu | Shujuan Li | Zipeng Zhang | Sen Yang | Kai Xing | Chuduan Wang | Xiangdong Ding
Carcass and meat quality traits are critical in pig breeding and production. Estimating genetic parameters for these traits is a vital aspect of breeding engineering, as accurate genetic parameters are essential for estimating breeding values, predicting genetic progress, and optimizing breeding programs. This study was conducted on a population of 461 Yorkshire pigs from the same breeding farm, which were slaughtered to assess nine carcass traits and seven meat quality traits, followed by descriptive statistical analysis. Additionally, we estimated the genetic parameters of these traits using genomic information based on 50K chip data. The results indicated that sex significantly affected most carcass and meat quality traits. Carcass traits including carcass length indicators (h2 = mean 0.35), backfat thickness indicators (h2 = mean 0.36), eye muscle area (h2 = 0.28), and the number of rib pairs (h2 = 0.28) exhibited medium to high heritability. Carcass length indicators showed high genetic correlations with backfat thickness indicators (r = mean &minus:0.49) and the number of rib pairs (r = mean 0.63), while high negative genetic correlation (r = &minus:0.72) was noted between eye muscle area and the number of rib pairs. Meat quality traits also displayed medium to high heritability, expect for pH value measured within one hour post-slaughter (h2 = 0.12). Drip loss indicators had higher genetic correlations with pH (r = mean &minus:0.73) than with meat color indicators (r = mean 0.22). These findings may provide a theoretical reference for genetic evaluation and breeding in the Yorkshire pig population.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Multidisciplinary Digital Publishing Institute