Single-Step Genetic Evaluations in the Australian Sheep Industry

Title
Single-Step Genetic Evaluations in the Australian Sheep Industry
Publication Date
2018
Author(s)
Brown, D J
( author )
OrcID: https://orcid.org/0000-0002-4786-7563
Email: dbrown2@une.edu.au
UNE Id une-id:dbrown2
Swan, A A
( author )
OrcID: https://orcid.org/0000-0001-8048-3169
Email: aswan@une.edu.au
UNE Id une-id:aswan
Boerner, V
Li, L
( author )
OrcID: https://orcid.org/0000-0002-3601-9729
Email: lli4@une.edu.au
UNE Id une-id:lli4
Gurman, P M
( author )
OrcID: https://orcid.org/0000-0002-4375-115X
Email: pgurman@une.edu.au
UNE Id une-id:pgurman
McMillan, A J
( author )
OrcID: https://orcid.org/0000-0001-5054-5867
Email: amcmill4@une.edu.au
UNE Id une-id:amcmill4
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
Chandler, H R
Tier, B
Banks, R G
( author )
OrcID: https://orcid.org/0000-0001-7303-033X
Email: rbanks@une.edu.au
UNE Id une-id:rbanks
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Massey University
Place of publication
Palmerston North, New Zealand
UNE publication id
une:1959.11/27296
Abstract
The main benefit of genomic selection for Australian sheep is to increase the accuracy of estimates of genetic merit for hard to measure traits including carcass, adult wool and reproduction traits. An extensive genotyped reference population, combined with a significant number of genotyped and phenotyped animals from ram breeding flocks enables genomic predictions with improved accuracies. Genomically enhanced breeding values have now been transitioned from a mixture of blending and independent single-trait single-step methods into full multiple-trait single-step analyses covering most traits evaluated. Key challenges to achieve this were: weighting of pedigree and genomic information, achieving acceptable run times, and estimation of breeding value accuracy from genomic contributions. The new analyses have been shown to significantly improve the prediction of progeny performance across most traits. Future developments will evaluate alternate models for incorporating genomic information, ability to include genotyped animals without any pedigree and phenotypic information, and development of single-step analyses for reproduction traits.
Link
Citation
Proceedings of the World Congress on Genetics Applied to Livestock Production, v.11, p. 1-8
Start page
1
End page
8
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International

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