Estimation of optimum polygenic and genomic weights in single-step genetic evaluation of carcass traits in Australian Angus beef cattle

Title
Estimation of optimum polygenic and genomic weights in single-step genetic evaluation of carcass traits in Australian Angus beef cattle
Publication Date
2021
Author(s)
Samaraweera, A M
( author )
OrcID: https://orcid.org/0000-0002-8644-8345
Email: asamara2@une.edu.au
UNE Id une-id:asamara2
Torres-Vazquez, J A
( author )
OrcID: https://orcid.org/0000-0001-6965-6065
Email: torresva@une.edu.au
UNE Id une-id:torresva
Jeyaruban, M G
( author )
OrcID: https://orcid.org/0000-0002-0231-0120
Email: gjeyarub@une.edu.au
UNE Id une-id:gjeyarub
Johnston, D J
( author )
OrcID: https://orcid.org/0000-0002-4995-8311
Email: djohnsto@une.edu.au
UNE Id une-id:djohnsto
Boerner, V
Abstract
Paper presented by Amali Samaraweera
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:1959.11/51597
Abstract

Optimum polygenic and genomic weights enhance the accuracy of breeding value estimates in single-step genomic evaluations. This study estimated the contribution from marker information to total additive genetic variation referred as λ using an extended single-step model in a multi-trait variance component estimation based procedure using data for six Australian Angus carcase traits. The λ for these traits ranged from 0.54 (for carcass intramuscular fat) to 0.79 (for carcass eye muscle area). Heritabilities were similar between the pedigree only and the extended single-step multi-trait model when using the total genetic variance, and ranged from 0.37 (for carcass rib fat) to 0.53 (for carcass weight), suggesting that the single-step model did not explain more genetic variance than pedigree based models. Results suggest that the scalar λ in the current single-step routine evaluation could be replaced by an extended single-step model allowing for different proportions of the additive genetic co-variance explained by markers for all elements of the genetic co-variance matrix.

Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.24, p. 345-348
ISSN
1328-3227
Start page
345
End page
348

Files:

NameSizeformatDescriptionLink