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

Author(s)
Loh, Z
van der Werf, J H J
Clark, S
Publication Date
2023-07-26
Abstract
<p>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.</p>
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 23-26
ISSN
1328-3227
Link
Language
en
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
An optimal contribution selection technique that utilises on-additive genetic components
Type of document
Conference Publication
Entity Type
Publication

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