Symposium review: Single-step genomic evaluations in dairy cattle.

dairy cattle evaluation bias genomic BLUP (GBLUP) marker effect models

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 15 10 2019
accepted: 21 01 2020
pubmed: 26 4 2020
medline: 26 9 2020
entrez: 26 4 2020
Statut: ppublish

Résumé

During the last decade, genomic selection has revolutionized dairy cattle breeding. For example, Nordic dairy cows (Denmark, Finland, and Sweden) born in 2018 were >90% sired by young genomically tested bulls. Thus, the average age of sires for Red Dairy Cattle cows born in 2018 was only 3.1 yr, whereas in 2011 it was 5.7 yr. Earlier the key driver of genetic progress was the selection of progeny-tested sires, but now it is the genomic preselection of young sires. This leads to a biased estimation of genetic progress by the traditional genetic evaluations. When these are used as input for multi-step genomic evaluations also they became distorted. The only long-term solution to maintain unbiasedness is to include the genomic information in evaluations. Although means for single-step evaluation models were introduced in 2010, they have not yet been implemented in large-scale national dairy evaluations. At first, single-step evaluations were hindered by computational cost. This has been largely solved, either by sparse presentations of the inverses of the genomic relationship (G) and pedigree relationship (A

Identifiants

pubmed: 32331883
pii: S0022-0302(20)30314-3
doi: 10.3168/jds.2019-17754
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

5314-5326

Informations de copyright

Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

E A Mäntysaari (EA)

Natural Resources Institute Finland (Luke), Jokioinen, Finland, FI-31600. Electronic address: esa.mantysaari@luke.fi.

M Koivula (M)

Natural Resources Institute Finland (Luke), Jokioinen, Finland, FI-31600.

I Strandén (I)

Natural Resources Institute Finland (Luke), Jokioinen, Finland, FI-31600.

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Classifications MeSH