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RESEARCH ARTICLE

Ability of sire breeding values to predict progeny bodyweight, fat and muscle using various transformations across environments in terminal sire sheep breeds

A. E. Huisman A C , D. J. Brown A and N. M. Fogarty B D
+ Author Affiliations
- Author Affiliations

A Animal Genetics and Breeding Unit1, University of New England, Armidale, NSW 2351, Australia.

B NSW Department of Primary Industries, Orange Agricultural Institute, Orange, NSW 2800, Australia.

C Present address: Hendrix Genetics Research, Technology and Services B.V., Research and Technology Centre, Boxmeer, The Netherlands.

D Corresponding author. Email: neal.fogarty@dpi.nsw.gov.au

Animal Production Science 56(1) 95-101 https://doi.org/10.1071/AN14666
Submitted: 30 June 2014  Accepted: 22 September 2014   Published: 2 December 2014

Abstract

Data used for the genetic evaluation of the terminal sire sheep breeds in Australia originate from a large range of genotypes and environments. This means there are large differences in the level of production and therefore contemporary group means and variances within the data. This study examined four transformations to account for the heterogeneity of variance in the observed data and their effect on the ability of estimated breeding values of sires (sire EBV) to predict progeny performance. This predictive ability was described by regressing offspring performance on sire EBV. The expected value of this regression is 0.5, which indicates that half of the sire EBV differences can be expected in the progeny. The transformations of observed data were investigated in low, medium and high production environments for weight and ultrasound scan traits (fat and muscle) in terminal sire sheep breeds. There were records from over 300 000 sheep in the LAMBPLAN terminal sire dataset, predominately from Poll Dorset, Texel, Suffolk and White Suffolk breeds. The transformation methods applied to the observed data were: traits expressed as a percentage of the contemporary group mean; traits re-scaled to a common contemporary group mean in units of measurement; a logarithmic transformation; and a square root transformation. The heritabilities and other variance ratios estimated from the transformed traits were not significantly different from those using the observed data. Phenotypes transformed to a proportion of the contemporary group mean, either as a percentage or in units of measurement, resulted in the most consistent EBV across all production environments for weight and fat traits, with little effect of transformations for muscle traits. The transformation of data to the contemporary mean in units of measurement for weight and fat traits has been implemented in the Sheep Genetics evaluation system. The consistency of the progeny–sire EBV regressions around 0.5 in the data from these purebred industry flocks is heartening for terminal sire evaluation.

Additional keywords: bodyweight, breeding value estimation, heterogeneity, transformation, ultrasound scan.


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