Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56102
Title: Genomic prediction using imputed whole-genome sequence in Australian Angus cattle
Contributor(s): Kamprasert, N (author); Aliloo, H  (author)orcid ; Van Der Werf, J  (author)orcid ; Duff, C  (author)orcid ; Clark, S  (author)orcid 
Publication Date: 2023-07-26
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/56102
Open Access Link: http://www.aaabg.org/aaabghome/AAABG25papers/36Kamprasert25150.pdfOpen Access Link
Abstract: 

Using whole-genome sequence data in genomic prediction is expected to improve the predictive ability since the whole genome sequence may contain causal variants. This study aimed to compare the accuracy of genomic prediction with three densities of genotypes, 50k, high- density and wholegenome sequence. The genomic prediction was performed to estimate breeding values for selected growth and carcass traits in Australian Angus beef cattle. Genotype imputation was conducted to retrieve genotypes at high-density and whole-genome sequence level. The dataset was split into testing and reference group to compare the accuracy of breeding values obtained from different genotype densities and for animals with different degrees of relatedness to the reference. The prediction accuracies were similar across three different genotype densities for the traits studied. We found no substantial improvement in genomic prediction accuracy using the whole-genome sequence data in this study.

Publication Type: Conference Publication
Conference Details: AAABG 2023: 25th Conference of the Association for the Advancement of Animal Breeding and Genetics, Perth, Australia, 26th - 28th July, 2023
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 150-153
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2020: 100401 Beef cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.aaabg.org/aaabghome/proceedings25.php
Appears in Collections:Conference Publication
School of Environmental and Rural Science

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