Modelling genetic covariance structure across ages of mean fibre diameter in sheep using multivariate and random regression analysis
M. Asadi Fozi A B E , J. H. J. Van der Werf B D and A. A. Swan CA Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.
B School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
C Animal Genetics and Breeding Unit (AGBU1), University of New England, Armidale, NSW 2351, Australia.
D Cooperative Research Centre for Sheep Industry Innovation, Armidale, NSW 2351, Australia.
E Corresponding author. Email: masadifo@une.edu.au
Animal Production Science 52(11) 1019-1026 https://doi.org/10.1071/AN12139
Submitted: 20 April 2012 Accepted: 23 May 2012 Published: 8 August 2012
Abstract
Mean fibre diameter measurements from yearling to 5-year-old Australian fine- and medium-wool Merino sheep were analysed using several multivariate models that varied in covariance structure. A pre-structured multivariate model was found to be the most parsimonious model in comparison with the other models fitted such as banded, autoregressive and random regression. In the preferred model, the ages of mean fibre diameter for fine-wool data were genetically partitioned into yearling, 2 years, 3 years and later ages and for medium-wool data into hogget, 2 years and later ages. The estimates of genetic correlations between mean fibre diameter measured at different ages for medium-wool sheep were higher (0.89–1.00) than those for fine-wool Merino (0.75–1.00).
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