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

V Boerner, D J Johnston, B Tier

Research output: Contribution to journalConference articlepeer-review

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.
Original languageEnglish
Article number252
Pages (from-to)1-3
JournalProceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Issue numberSpecies Breeding: Beef cattle
Publication statusPublished - 2014
EventWCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production - Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014

Keywords

  • Animal Breeding
  • Genomics

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