Genomic predictions for yield traits in US Holsteins with unknown parent groups.


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:
May 2021
Historique:
received: 14 10 2020
accepted: 18 12 2020
pubmed: 6 3 2021
medline: 27 4 2021
entrez: 5 3 2021
Statut: ppublish

Résumé

The objective of this study was to assess the reliability and bias of estimated breeding values (EBV) from traditional BLUP with unknown parent groups (UPG), genomic EBV (GEBV) from single-step genomic BLUP (ssGBLUP) with UPG for the pedigree relationship matrix (A) only (SS_UPG), and GEBV from ssGBLUP with UPG for both A and the relationship matrix among genotyped animals (A

Identifiants

pubmed: 33663836
pii: S0022-0302(21)00231-9
doi: 10.3168/jds.2020-19789
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5843-5853

Informations de copyright

The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Auteurs

A Cesarani (A)

Department of Animal and Dairy Science, University of Georgia, Athens 30602. Electronic address: alberto.cesarani@uga.edu.

Y Masuda (Y)

Department of Animal and Dairy Science, University of Georgia, Athens 30602.

S Tsuruta (S)

Department of Animal and Dairy Science, University of Georgia, Athens 30602.

E L Nicolazzi (EL)

Council on Dairy Cattle Breeding, Bowie, MD 20716.

P M VanRaden (PM)

Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350.

D Lourenco (D)

Department of Animal and Dairy Science, University of Georgia, Athens 30602.

I Misztal (I)

Department of Animal and Dairy Science, University of Georgia, Athens 30602.

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Classifications MeSH