Genomic Breeding values from Across Breed Prediction in Practice: Accuracy of Beef-CRC Genomic Breeding Values in Australian Angus and Australian Brahman beef cattle

Author(s)
Boerner, V
Johnston, D J
Tier, B
Publication Date
2014
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.
Citation
Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP) (Species Breeding: Beef cattle), p. 1-3
Link
Publisher
American Society of Animal Science
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
Type of document
Conference Publication
Entity Type
Publication

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