Genetic relationships between live animal scan traits and carcass traits of Australian Angus bulls and heifers
Vinzent Börner A B , David J. Johnston A and Hans-Ulrich Graser AA Animal Genetics and Breeding Unit (a joint venture of the NSW Department of Primary Industries and the University of New England), University of New England, Armidale, NSW 2531, Australia.
B Corresponding author. Email: vboerner@une.edu.au
Animal Production Science 53(10) 1075-1082 https://doi.org/10.1071/AN12435
Submitted: 18 December 2012 Accepted: 11 March 2013 Published: 9 April 2013
Abstract
Genetic parameters of four ultrasound live-scan traits and five carcass traits of Australian Angus cattle were examined with regard to sex and age of the scanned individuals. Live-scans were subdivided according to whether the observation was obtained from a bull or a heifer. In addition, two age subset (‘young’ and ‘old’) within sex were formed by k-means clustering around two centres within sex according to the age at scanning. REML estimates for heritabilities, genetic, residual and phenotypic correlations for each trait and trait combination were derived from a series of uni-, bi- and tri-variate analysis. Statistically significant age effects could be found for heritablities of scan intra-muscular fat content in heifers and scan fat depth at P8 site and scan rib fat depth in bulls, and for genetic correlations between the scan traits fat depth at P8 site, rib fat depth and eye muscle area. However, differences in heritablities between age sets within sex did not exceed 0.05, and genetic correlations between scan traits of ‘young’ and ‘old’ animals were at least 0.9. Differences between genetic correlations of abattoir carcass traits and ‘young’ and ‘old’ live-scan traits, respectively, were not significant due to high standard errors but up to 0.44. The larger of these differences were found for combinations of scan-traits and non-target carcass traits and not for combination of scan-traits and their actual carcass target traits. Thus, although some results suggest an age effect on the genetic parameters of scan traits, the extent of this effect is of limited impact on breeding value accuracy and genetic gain of scan traits. Furthermore, a possible age effect on correlations to economically important carcass traits need to be underpinned by more carcass traits observations in order to get unambiguous results allowing to draw consequences of scanning younger individuals for accuracy of breeding values and genetic gain in carcass traits.
Additional keywords: age, beef cattle, carcass, genetic parameter, ultrasound live-scan.
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