1. Modelling genetic covariance structure across ages of mean fibre diameter in sheep using multivariate and random regression analysis.
- Author
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Fozi, M. Asadi, Van der Werf, J. H. J., and Swan, A. A.
- Subjects
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MERINO sheep , *MULTIVARIATE analysis , *ANALYSIS of covariance , *PARSIMONIOUS models - 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). Appropriate genetic covariance structure should be defined among the expressions of a trait taken at different ages. For the ages of fibre diameter in Merino sheep, a pre-structured multivariate model was found to be the most parsimonious model. This would enable drawing correct inferences from the data and help devise the selection strategies. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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