Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23144
Title: Weighting factors for genomic information used in Single-Step genomic selection in Australian beef
Contributor(s): Zhang, Yuandan  (author)orcid ; Swan, Andrew  (author)orcid ; Johnston, David  (author)orcid ; Girard, Christian  (author)orcid 
Publication Date: 2017
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/23144
Open Access Link: http://www.aaabg.org/aaabghome/fullproc22.phpOpen Access Link
Abstract: Single-step genomic evaluation utilises all phenotypes, pedigree and genotypes and could significantly enhance beef cattle genetic evaluation. An appropriate weighting factor for genomic and pedigree information is required to predict single-step estimated breeding values (EBVs). This study assessed the optimal weighing factor lambda (λ, ranging between 0 and 1 for none to 100% weighing on genomic information) for a series of beef traits using an empirical approach. The optimal value of λ was identified from the maximum accuracies of genomic predictions by internal cross-validation. The estimated genomic accuracies for Brahman cattle ranged from 0.23 to 0.70 for traits with adequate numbers of genotypes and phenotypes. The accuracy of genomic predictions generally increased as the λ weighting factor increased for a range of traits and typically approached an asymptote towards the optimal λ. For traits with adequate numbers of records, the optimal λ values ranged from 0.4 to 0.8.
Publication Type: Conference Publication
Conference Details: AAABG 2017: 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics, Townsville, Australia, 2nd - 5th July, 2017
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 309-312
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 070201 Animal Breeding
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2008: 830301 Beef Cattle
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/
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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