A new metric to assess reference populations for genomic selection in Australian beef breeds

Title
A new metric to assess reference populations for genomic selection in Australian beef breeds
Publication Date
2022
Author(s)
Moore, K L
( author )
OrcID: https://orcid.org/0000-0001-6779-0148
Email: kmoore7@une.edu.au
UNE Id une-id:kmoore7
Ferdosi, M H
( author )
OrcID: https://orcid.org/0000-0001-5385-4913
Email: mferdos3@une.edu.au
UNE Id une-id:mferdos3
Girard, C G
( author )
OrcID: https://orcid.org/0000-0003-0542-7073
Email: cgirard@une.edu.au
UNE Id une-id:cgirard
Walkom, S F
( author )
OrcID: https://orcid.org/0000-0002-2275-0318
Email: swalkom@une.edu.au
UNE Id une-id:swalkom
Johnston, D J
( author )
OrcID: https://orcid.org/0000-0002-4995-8311
Email: djohnsto@une.edu.au
UNE Id une-id:djohnsto
Editor
Editor(s): Veerkamp, R.F and De Hass, Y
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Wageningen Academic Publishers
Place of publication
The Netherlands
DOI
10.3920/978-90-8686-940-4_290
UNE publication id
une:1959.11/56403
Abstract

Research has shown that to maximise benefits (i.e. EBV accuracy and spread and decreased generation interval) of genomic selection, reference populations of genotyped and phenotyped animals need to be large, diverse in relationships and closely related to the selection generation. In practice, applying these design principles can be challenging as metrics to aid decision making are often not available. This paper applies a metric that objectively describes reference populations and their impact on accuracy for seven Australian beef populations. All populations for live weight and abattoir carcase had different levels of phenotyping, genotyping and overall size. Carcase traits had the lowest reference population size, and assessment of average relatedness in almost all the breeds showed there were herds that were not currently represented in the reference population. Generally, increasing reference size resulted in increased accuracy, but there were some exceptions. The metrics described in this paper are easy to apply and can assist in the construction of reference populations.

Link
Citation
Proceedings of the 12th World Congress on Genetics Applied to Livestock Production, v.12, p. 1221-1224
ISBN
978-90-8686-940-4
Start page
1221
End page
1224
Rights
Attribution 4.0 International

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administrative/Front matter.pdf 1235.989 KB application/pdf Front Matter View document
administrative/WorldCongressonGeneticsAppliedtoLivestockProduction2022ConferenceProgram.pdf 7109.32 KB application/pdf Conference Program View document
openpublished/ANewMetricMooreFerdosiGirardWalkomJohnston2022ConferencePublication.pdf 378.552 KB application/pdf Conference Publication View document