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A method for deriving the genetic matrix needed for selection across combinations of breeds
Author(s) -
Barwick Stephen A.,
Johnston David J.,
Walmsley Bradley J.,
Jeyaruban M. Gilbert,
Boerner Vincent
Publication year - 2020
Publication title -
journal of animal breeding and genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1111/jbg.12480
Subject(s) - selection (genetic algorithm) , breed , weighting , biology , matrix (chemical analysis) , statistics , evolutionary biology , mathematics , genetics , computer science , artificial intelligence , medicine , materials science , radiology , composite material
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 ( G 11 ), between selection criteria and the breeding objective traits ( G 12 ), and among the breeding objective traits ( G 22 ). 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.