长白和大白猪主要生长性状的遗传参数估计

旨在分析母猪的出生年份、出生季节、初生重、开测日龄等固定效应对长白、大白猪主要生长性状的影响,并对目标生长性状进行遗传参数估计(遗传力、遗传方差、表型相关和遗传相关),为猪的遗传改良提供基本依据.本试验利用GLM模型分析试验猪群(398头长白猪和1176头大白猪)的固定效应对猪生长性状的影响,并采用多性状动物模型对目标...

Estimation of Genetic Parameters of Main Growth Traits in Landrace and Large White Pigs

This study aimed to predict and analyze the effects of fixed effects such as the year of birth, birth season, birth weight and the age at the beginning of test on the growth traits of Landrace and Large White pigs, and calculate the genetic parameter estimated values (heritability, genetic variance, phenotypic correlation, and genetic correlation), which would provide a basic reference for pig genetic improvement. In this experiment, the GLM model was used to analyze the effects of fixed effects on growth traits in the experimental pig herd (398 Landrace pigs and 1 176 Large White pigs), and a multi-trait animal model was used to perform the genetic parameters estimation to the target traits. The target growth traits included age to 100 kg (AGE), backfat to 100 kg (BF), and average daily gain to 100 kg (ADG). The study showed that, in Large White and Landrace pigs, the year of birth, birth season, birth weight, and the age at the beginning of test all had extremely significant effects on growth traits (P<0.001); The heritability of AGE, ADG and BF were 0.321, 0.327 and 0.324 in Landrace pigs, the heritability of the corresponding traits in Large White pigs were 0.454, 0.469 and 0.408, respectively. The genetic correlation and phenotypic correlation between ADG and AGE in Landrace pig were -0.990, -0.995, respectively; the genetic correlation and phenotypic correlation between ADG and AGE in Large White pigs were -0.993 and -0.998, respectively, showing a strong negative correlation. The growth traits (AGE, ADG, BF) of Landrace and Large White pigs were the traits with medium heritability. The year of birth, birth season, birth weight, and the age at the beginning of the test have a greater impact on the growth traits of pigs. When genetic parameters are estimated and analyzed, the reliability of genetic parameter estimation can be increased by increasing the number of samples and improving the quality of phenotypic data. In this study, the estimation results of the genetic parameters of growth traits are relatively reliable and can provide references for subsequent genetic improvement.