Author(s) |
Boerner, V
Johnston, D J
Tier, B
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Publication Date |
2014
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Abstract |
Genomic selection in the Australian beef cattle sector is challenged by the variety of small breeds and a low number of phenotyped and genotyped individuals in each breed. The Beef Cooperative Research Center (Beef CRC) derived prediction equations (PE) on mixed-breed and pure-breed training sets. This paper presents the accuracy of the resulting genomically estimated breeding values (GEBV) assessed by their genetic correlation to their phenotypic target trait recorded in the seed-stock cattle populations of Australian Angus and Brahman. Accuracies of the majority of GEBVs was between 0.1 and 0.4, and were highest when the PE of the pooled across-breed training population were used. The difference in accuracies from using pure-breed PEs were small. Results were generally low compared to accuracies estimated within breeds, but in line with those derived in other across-breed populations. Thus prediction equations derived by the Beef CRC can contribute to the implementation of genomic selection in Australian beef cattle breeding.
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Citation |
Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP) (Species Breeding: Beef cattle), p. 1-3
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Link | |
Publisher |
American Society of Animal Science
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Title |
Genomic Breeding values from Across Breed Prediction in Practice: Accuracy of Beef-CRC Genomic Breeding Values in Australian Angus and Australian Brahman beef cattle
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Type of document |
Conference Publication
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Entity Type |
Publication
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