考力代羊生长性状的协方差函数估计

doi:10.16431/j.cnki.1671-7236.2015.01.026

Abstract

Abstract: The purpose of this study was to model genetic and phenotypic variation of Corriedale sheep and provide reliable basis for selecting breed.Data set of 3 332 body weight records from 1 269 Corriedale sheep was used to estimate genetic, environmental, and phenotypic covariance function by random regression model (RRM), the independent variables were Legendre polynomial of age at recording.Orders of fit from 2 to 5 for maternal environmental effects were considered, and full order of fit for additive genetive effects.The best order of fit was tested by log likelihoods, Akaike and Bayesian-Schwarz's information criteria.The average information restricted maximum likelihood method (AIREML) was used to estimate covariances between the regression coefficients.The results showed that when 4-order maternal environmental effects fitted, covariance figures were more in line with the change of the growth of animal, the less number of parameters involved.The greater genetic and phenotypic variation were showed before and after 6 months.These results suggested the Corriedale sheep growth was adequatedly described using RRM despite the limited data.

Key words: Corriedale sheep; longitude data; covariance function; random regression model; average information restricted maximum likelihood

CLC Number:

S826

LI Xiu-li, LIU Bao-feng, QIAO Li-ying, YANG Ju-feng, ZHANG Shan-zhi, XU Xiang-ting, LIU Wen-zhong. Estimation of Covariance Function for Growth of Corriedale Sheep[J]. China Animal Husbandry & Veterinary Medicine, 2015, 42(1): 167-171.

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Estimation of Covariance Function for Growth of Corriedale Sheep

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