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Estimation of Genetic and Phenotypic Covariance Functions for Body Weight as Longitudinal Data of SD-II Swine Line
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 Title & Authors
Estimation of Genetic and Phenotypic Covariance Functions for Body Weight as Longitudinal Data of SD-II Swine Line
Liu, Wenzhong; Cao, Guoqing; Zhou, Zhongxiao; Zhang, Guixian;
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 Abstract
Growth records over six generations of 686 pigs in SD-II Swine Line were used to estimate the genetic and phenotypic covariance functions for body weight as longitudinal data. A random regression model with Legendre polynomials of age as independent variables was used to estimate the (co)variances among the regression coefficients, thus the coefficients of genetic and permanent environmental covariance functions by restricted maximum likelihood employing the average information algorithm. The results showed that, using litter effect as additional random effect, a reduced order of fit did not describe the data adequately. For all five orders of fit, however, the change trends of genetic and phenotypic (co)variances were very similar from =3 onwards.
 Keywords
Swine;Covariance Functions;Longitudinal Data;Restricted Maximum Likelihood;Random Regression Model;
 Language
English
 Cited by
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 References
1.
Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. In: 2nd Int. Symp. Inf. Theory (Ed. B. Petrov and F. Csaki). Akad. Kiado, Budapest. pp. 267-281.

2.
Albuquerque, L. G. and K. Meyer. 2001. Estimates of direct and maternal genetic effects for weights from birth to 600 days of age in Nelore cattle. J. Anim. Breed. Genet. 118:83-92. crossref(new window)

3.
Johnson, D. L. and R. Thompson. 1995. Restricted maximum likelihood estimation of variance components for univariate animal models using sparse matrix techniques and average information. J. Dairy Sci. 78:449-456.

4.
Kirkpatrick, M. and N. Heckman. 1989. A quantitative genetic model for growth, shape, and other infinite dimensional characters. J. Math. Biol. 27:429-450. crossref(new window)

5.
Kirkpatrick, M., D. Lofsvold and M. Bulmer. 1990. Analysis of the inheritance, selection and evolution of growth trajectories. Genetics 124:979-993.

6.
Kirkpatrick, M., W. G. Hill and R. Thompson. 1994. Estimating the covariance structure of traits during growth and aging, illustrated with lactation in dairy cattle. Genet. Res. 64:57-69. crossref(new window)

7.
Liu Wenzhong. 2001. ph D. thesis. China Agricultural University, Beijing, China.

8.
Liu Wenzhong, Zhang Yuan and Zhou Zhongxiao. 2001. Influences of different additional random effects on estimating covariance functions. Hereditas (Beijing) 23:317-320.

9.
Meyer, K. and W. G. Hill. 1997. Estimation of genetic and phenotypic covariance functions for longitudinal or 'repeated' records by restricted maximum likelihood. Livst. Prod. Sci. 47:185-200. crossref(new window)

10.
Meyer, K. 1998a. Estimating covariance functions for longitudinal data using a random regression model. Genet. Sel. Evol. 30:221-240. crossref(new window)

11.
Meyer, K. 1998b. Modeling 'repeated' records: covariance functions and random regression models to analyze animal breeding data. Proc. 6th World Congr. Genet. Appl. Livest. Prod. 25:517-520.

12.
Meyer, K. 1998c. 'DXMRR'-A program to estimate covariance functions for longitudinal data by restricted maximum likelihood. Proc. 6th World Congr. Genet. Appl. Livest. Prod. 27:465-466.

13.
Meyer, K. 1999. Estimates of direct and maternal genetic covariance functions for early growth of Australian beef cattle. 50th Ann. Meet. Eur. Assoc. Anim. Prod. Zurich. p. 296.

14.
Meyer, K. 2001. Estimates of direct and maternal covariance functions for growth of Australian beef calves from birth to weaning. Genet. Sel. Evol. 33:487-514. crossref(new window)

15.
Van der Werf, J., M. Goddard and K. Meyer. 1998. The use of covariance functions and random regression for genetic evaluation of milk production based on test day records. J. Dairy Sci. 81:3300-3308.

16.
Zhou Zhongxiao, Liu Wenzhong, Zhang Shaozeng, Zhang Yiming and Jia Yuzhi. 1999. Research on Shanxi lean-meat pig (Line SD-II) breeding. Proc. 10th Nat. Symp. Anim. Breed. Genet. pp. 401-404.