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 language | English |
|---|---|
| Article number | 252 |
| Pages (from-to) | 1-3 |
| Journal | Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (WCGALP) |
| Issue number | Species Breeding: Beef cattle |
| Publication status | Published - 2014 |
| Event | WCGALP 2014: 10th World Congress on Genetics Applied to Livestock Production - Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 |
Keywords
- Animal Breeding
- Genomics
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