Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28582
Title: An Efficient Method to Calculate Genomic Prediction Accuracy for New Individuals
Contributor(s): Ferdosi, Mohammad H  (author)orcid ; Connors, Natalie K  (author)orcid ; Tier, Bruce  (author)
Publication Date: 2019-06-25
Open Access: Yes
DOI: 10.3389/fgene.2019.00596
Handle Link: https://hdl.handle.net/1959.11/28582
Abstract: Diagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and without phenotypes. Computational performance is significantly improved by re-using parts of the coefficient matrix inverse calculations that do not change from one animal to another, in combination with updated calculations for those that do change. This method expedites calculation of accuracy for new individuals with genotypes, without re-doing the whole population, by using the previously calculated matrices.
Publication Type: Journal Article
Source of Publication: Frontiers in Genetics, v.10, p. 1-6
Publisher: Frontiers Research Foundation
Place of Publication: Switzerland
ISSN: 1664-8021
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: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article

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