Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle

Farah, M. M., Swan, A. A., Fortes, M. R. S., Fonseca, R., Moore, S. S. and Kelly, M. J. (2016) Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle. Animal Genetics, 47 1: 3-11. doi:10.1111/age.12362


 
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Author Farah, M. M.
Swan, A. A.
Fortes, M. R. S.
Fonseca, R.
Moore, S. S.
Kelly, M. J.
Title Accuracy of genomic selection for age at puberty in a multi-breed population of tropically adapted beef cattle
Journal name Animal Genetics   Check publisher's open access policy
ISSN 1365-2052
0268-9146
Publication date 2016-02-01
Year available 2015
Sub-type Article (original research)
DOI 10.1111/age.12362
Open Access Status Not Open Access
Volume 47
Issue 1
Start page 3
End page 11
Total pages 9
Place of publication Chichester, West Sussex United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Abstract Genomic selection is becoming a standard tool in livestock breeding programs, particularly for traits that are hard to measure. Accuracy of genomic selection can be improved by increasing the quantity and quality of data and potentially by improving analytical methods. Adding genotypes and phenotypes from additional breeds or crosses often improves the accuracy of genomic predictions but requires specific methodology. A model was developed to incorporate breed composition estimated from genotypes into genomic selection models. This method was applied to age at puberty data in female beef cattle (as estimated from age at first observation of a corpus luteum) from a mix of Brahman and Tropical Composite beef cattle. In this dataset, the new model incorporating breed composition did not increase the accuracy of genomic selection. However, the breeding values exhibited slightly less bias (as assessed by deviation of regression of phenotype on genomic breeding values from the expected value of 1). Adding additional Brahman animals to the Tropical Composite analysis increased the accuracy of genomic predictions and did not affect the accuracy of the Brahman predictions.
Keyword Bos indicus
Breeding values
Tropical composite
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2016 Collection
 
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