Multitrait genomic prediction of methane emissions in Danish Holstein cattle.


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:
Oct 2020
Historique:
received: 06 11 2019
accepted: 18 05 2020
pubmed: 5 8 2020
medline: 23 12 2020
entrez: 5 8 2020
Statut: ppublish

Résumé

In dairy cattle, selecting for lower methane-emitting animals is one of the new challenges of this decade. However, genetic selection requires a large number of animals with records to get accurate estimated breeding values (EBV). Given that CH

Identifiants

pubmed: 32747097
pii: S0022-0302(20)30571-3
doi: 10.3168/jds.2019-17857
pii:
doi:

Substances chimiques

Methane OP0UW79H66

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9195-9206

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

C I V Manzanilla-Pech (CIV)

Department of Molecular Biology and Genetics, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark. Electronic address: coralia.manzanilla@mbg.au.dk.

D Gordo (D)

Department of Molecular Biology and Genetics, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark.

G F Difford (GF)

Department of Molecular Biology and Genetics, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark; Department of Breeding and Genetics, Nofima AS, PO Box 210, N-1431 Ås, Norway.

P Løvendahl (P)

Department of Molecular Biology and Genetics, Aarhus University, PO Box 50, DK-8830 Tjele, Denmark.

J Lassen (J)

Viking Genetics, Ebeltoftvej 16, Assentoft, 8960 Randers, Denmark.

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Classifications MeSH