Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29178
Title: A method for deriving the genetic matrix needed for selection across combinations of breeds
Contributor(s): Barwick, Stephen A  (author); Johnston, David J  (author)orcid ; Walmsley, Bradley J  (author)orcid ; Jeyaruban, M Gilbert  (author)orcid ; Boerner, Vinzent  (author)
Publication Date: 2020-09
Early Online Version: 2020-04-30
DOI: 10.1111/jbg.12480
Handle Link: https://hdl.handle.net/1959.11/29178
Abstract: A method is described for deriving the genetic matrix G needed for breeders to select across breeds for any breeding objective. The matrix comprises partitions among selection criteria (G11), between selection criteria and the breeding objective traits (G12), and among the breeding objective traits (G22). A weighting procedure is used to combine the G matrix of individual breeds with known breed differences. Between-breed variances are added to the diagonals of the matrix. Selection across many breeds can be quite different from that across a subset of the breeds. The particular breeds, and the numbers of each breed, that the breeder is prepared to consider in selection changes the genetic matrix and the selection index that should be used.
Publication Type: Journal Article
Source of Publication: Journal of Animal Breeding and Genetics, 137(5), p. 510-519
Publisher: Wiley-Blackwell Verlag GmbH
Place of Publication: Germany
ISSN: 1439-0388
0931-2668
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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