An optimal contribution selection technique that utilises on-additive genetic components

Title
An optimal contribution selection technique that utilises on-additive genetic components
Publication Date
2023-07-26
Author(s)
Loh, Z
van der Werf, J H J
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Clark, S
( #PLACEHOLDER_PARENT_METADATA_VALUE# )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:1959.11/56082
Abstract

This study proposes an optimal contribution selection method (OCS) that utilizes both additive and non-additive genetic components. Using a genetic algorithm, the contribution of sires toward a cohort of dams, along with their mate allocation, were optimized under a constraint of a 1% increment of inbreeding per generation. The inclusion of dominance into the OCS increases the total genetic gain in offspring initially by 30.5% improvement from +4.02 to +5.27 units compared to using additive genetic component alone for a trait with a 15% dominance-to-additive variance ratio. Compared to additive-only OCS, optimization of the dominance component resulted in one-off additional gains, with no additional merit thereafter, despite continued optimization. In conclusion, this inclusion of dominance in mate allocation can give a significant genetic lift in total genetic merit.

Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 23-26
ISSN
1328-3227
Start page
23
End page
26

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