Investigation on muscle fiber types and meat quality and estimation of their heritability and correlation coefficients with each other in four pig populations

Author:

Yan Min1ORCID,Li Longyun1ORCID,Huang Yizhong1,Tang Xi1,Shu Yujie1,Cui Dengshuai1ORCID,Yu Chuangang1,Hu Yongqiang1,Ma Junwu1,Xiao Shijun1,Guo Yuanmei1ORCID

Affiliation:

1. National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China Jiangxi Agricultural University Nanchang Jiangxi Province China

Abstract

AbstractThe aim of this study was to investigate the muscle fiber types and meat quality in four populations and estimate the heritability and correlation coefficients of those traits in Shanxia long black pig (SX). In this study, a total of 318 pigs were recorded for 16 traits of the muscle fiber types and meat quality in four populations, including 256 individuals from the new breed SX. The population had a significant effect on all recorded traits, and the meat quality of the Lulai black pig was better than the remaining populations. The heritability (h2) of meat quality traits was from 0.06 (pH at 24 h) to 0.47 (shearing force), and the muscle fiber types belonged to the traits with low to medium heritability. The density of total fiber had the highest h2 (0.40), while the percentage of type IIA had the lowest h2 (0.04). Most traits are phenotypically correlated with each other, but only a small proportion of traits are genetically correlated with each other. None fiber type genetically correlated with meat quality significantly, because the genetic correlation coefficients had large standard errors. These results provided some insights into genetic improvements for the meat quality in pig breeds and also indicated that the parameters of muscle fiber characteristics can explain parts of the variation in meat quality.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Agricultural and Biological Sciences,General Medicine

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