Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14396
Title: Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in 'Bos taurus', 'Bos indicus', and composite beef cattle
Contributor(s): Bolormaa, S (author); Pryce, J E (author); Harrison, B E (author); Reverter, A (author); Herd, Robert M  (author)orcid ; Tier, Bruce  (author); Graser, Hans-Ulrich  (author); Goddard, M E (author); Kemper, K (author); Savin, S (author); Hayes, B J (author); Barendse, W (author); Zhang, Yuandan  (author); Reich, C M (author); Mason, B A (author); Bunch, R J (author)
Publication Date: 2013
Open Access: Yes
DOI: 10.2527/jas.2012-5827Open Access Link
Handle Link: https://hdl.handle.net/1959.11/14396
Abstract: The aim of this study was to assess the accuracy of genomic predictions for 19 traits including feed efficiency, growth, and carcass and meat quality traits in beef cattle. The 10,181 cattle in our study had real or imputed genotypes for 729,068 SNP although not all cattle were measured for all traits. Animals included 'Bos taurus', Brahman, composite, and crossbred animals. Genomic EBV (GEBV) were calculated using 2 methods of genomic prediction [BayesR and genomic BLUP (GBLUP)] either using a common training dataset for all breeds or using a training dataset comprising only animals of the same breed. Accuracies of GEBV were assessed using 5-fold cross-validation. The accuracy of genomic prediction varied by trait and by method. Traits with a large number of recorded and genotyped animals and with high heritability gave the greatest accuracy of GEBV. Using GBLUP, the average accuracy was 0.27 across traits and breeds, but the accuracies between breeds and between traits varied widely. When the training population was restricted to animals from the same breed as the validation population, GBLUP accuracies declined by an average of 0.04. The greatest decline in accuracy was found for the 4 composite breeds. The BayesR accuracies were greater by an average of 0.03 than GBLUP accuracies, particularly for traits with known genes of moderate to large effect mutations segregating. The accuracies of 0.43 to 0.48 for IGF-I traits were among the greatest in the study. Although accuracies are low compared with those observed in dairy cattle, genomic selection would still be beneficial for traits that are hard to improve by conventional selection, such as tenderness and residual feed intake. BayesR identified many of the same quantitative trait loci as a genomewide association study but appeared to map them more precisely. All traits appear to be highly polygenic with thousands of SNP independently associated with each trait.
Publication Type: Journal Article
Source of Publication: Journal of Animal Science, 91(7), p. 3088-3104
Publisher: American Society of Animal Science
Place of Publication: United States of America
ISSN: 0021-8812
1525-3163
Field of Research (FOR): 060408 Genomics
070201 Animal Breeding
Socio-Economic Outcome Codes: 830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://www.ncbi.nlm.nih.gov/pubmed/23658330
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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