Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/2873
Title: Estimates of covariance functions for growth of Nelcore cattle applying a parametric correlation structure to model within-animal correlations
Contributor(s): Albuquerque, LG (author); Meyer, Karin (author)
Publication Date: 2005
DOI: 10.1016/j.livprodsci.2004.10.006
Handle Link: https://hdl.handle.net/1959.11/2873
Abstract: A total of 20,065 weights recorded on 3016 Nelore animals were used to estimate covariance functions for growth from birth to 630 days of age, assuming a parametric correlation structure to model within-animal correlations. The model of analysis included fixed effects of contemporary groups and age of dam as quadratic covariable. Mean trends were taken into account by a cubic regression on orthogonal polynomials of animal age. Genetic effects of the animal and its dam and maternal permanent environmental effects were modelled by random regressions on Legendre polynomials of age at recording. Changes in direct permanent environmental effect variances were modelled by a polynomial variance function, together with a parametric correlation function to account for correlations between ages. Stationary and nonstationary models were used to model within-animal correlations between different ages. Residual variances were considered homogeneous or heterogeneous, with changes modelled by a step or polynomial function of age at recording. Based on Bayesian information criterion, a model with a cubic variance function combined with a nonstationary correlation function for permanent environmental effects, with 49 parameters to be estimated, fitted best. Modelling within-animal correlations through a parametric correlation structure can describe the variation pattern adequately. Moreover, the number of parameters to be estimated can be decreased substantially compared to a model fitting random regression on Legendre polynomial of age.
Publication Type: Journal Article
Source of Publication: Livestock Production Science, 93(3), p. 213-222
Publisher: Elsevier Science BV
Place of Publication: Amsterdam, Netherlands
ISSN: 0301-6226
Field of Research (FOR): 070201 Animal Breeding
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://nla.gov.au/anbd.bib-an2967552
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