Approximating the accuracy of single step EBVs

Title
Approximating the accuracy of single step EBVs
Publication Date
2017
Author(s)
Li, Li
( author )
OrcID: https://orcid.org/0000-0002-3601-9729
Email: lli4@une.edu.au
UNE Id une-id:lli4
Swan, Andrew
( author )
OrcID: https://orcid.org/0000-0001-8048-3169
Email: aswan@une.edu.au
UNE Id une-id:aswan
Tier, Bruce
Editor
Editor(s): Laercio Porto-Neto
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:23339
Abstract
To accompany the implementation of multi-trait Single Step Genomic BLUP (SS-GBLUP) in the BREEDPLAN and OVIS genetic evaluation systems, an algorithm to approximate accuracy with genomic information has been developed and is presented in this paper. Data from full terminal sire OVIS and Brahman BREEDPLAN runs were processed using this new method. Results demonstrate that the approximated accuracy of SS-GBLUP estimated breed values (EBVs) is highly correlated (R² >0.96) with exact accuracies in several small example analyses for both beef and sheep. SS-GBLUP EBV accuracies increase more for traits with a larger reference population and for traits with higher heritabilities. Animals with low pedigree-only (ABLUP) EBV accuracies benefit more from genomic information than animals with high ABLUP EBV accuracies.
Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 89-92
ISSN
1328-3227
Start page
89
End page
92

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