Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/2862
Title: Description of lamb growth using random regression on field data
Contributor(s): Fischer, Troy (author); Van Der Werf, Julius Herman (author)orcid ; Banks, Robert (author); Ball, Alex (author)
Publication Date: 2004
DOI: 10.1016/j.livprodsci.2004.02.004
Handle Link: https://hdl.handle.net/1959.11/2862
Abstract: Random regression has been proposed as an accurate method for evaluation of growth data; however, this method has seldom been applied to data from an extensive industry where few records per animal exist. Consequently, field data containing weights of Poll Dorset sheep from 50 to 500 days of age were analysed fitting a random regression model. This model included quadratic, orthogonal polynomials for direct genetic and environmental effects and maternal environmental effects, a linear polynomial for maternal genetic effects and heterogeneous error variances. Direct heritability estimates increased steadily throughout time and were in agreement with literature estimates taken at specific ages. Some estimates for the highest ages with the least records tended to be overestimated, in particular heritability beyond 450 days. Research to solve this problem may require use of a function other than a polynomial. Variances due to maternal genetic effects were low throughout the trajectory. Covariances between weights of sheep for a considerable range of ages can be modelled adequately using random regression.
Publication Type: Journal Article
Source of Publication: Livestock Production Science, 89(2-3), p. 175-185
Publisher: Elsevier
Place of Publication: New York, USA
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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