Weighting of genomic and pedigree relationships in single step evaluation of carcass traits in Australian sheep

Author(s)
McMillan, Aaron
Swan, Andrew
Publication Date
2017
Abstract
An issue for implementation of single step genomic evaluations is how to weight genomic and pedigree relationships in modelling genetic co-variance. A weighting parameter lambda ranging between 0 and 1 can be used in the statistical model, with higher values corresponding to greater weighting of genomic information. We investigated appropriate values of lambda for a range of carcass traits in terminal sire sheep breeds, using the accuracy and bias of genomic prediction of breeding values as criteria. The accuracy generally increased with lambda, although the "optimal" value of lambda at the maximum accuracy varied widely, covering almost the entire range of possible values across traits. Accuracy typically approached an asymptote towards the optimal lambda, so a wide range of values could be used with minimal loss of prediction accuracy. The bias in Estimated Breeding Values (EBVs) increased with lambda, such that EBVs over-predicted phenotypic performance at high values of lambda.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 557-560
ISSN
1328-3227
Link
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
Weighting of genomic and pedigree relationships in single step evaluation of carcass traits in Australian sheep
Type of document
Conference Publication
Entity Type
Publication

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