Liability to diseases and their relation to dry matter intake and energy balance in German Holstein and Fleckvieh dairy cows.


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:
Jan 2021
Historique:
received: 23 03 2020
accepted: 25 08 2020
pubmed: 10 11 2020
medline: 17 2 2021
entrez: 9 11 2020
Statut: ppublish

Résumé

Dairy cow efficiency is increasingly important for future breeding decisions. The efficiency is determined mostly by dry matter intake (DMI). Reducing DMI seems to increase efficiency if milk yield remains the same, but resulting negative energy balance (EB) may cause health problems, especially in early lactation. Objectives of this study were to examine relationships between DMI and liability to diseases. Therefore, cow effects for DMI and EB were correlated with cow effects for 4 disease categories throughout lactation. Disease categories were mastitis, claw and leg diseases, metabolic diseases, and all diseases. In addition, this study presents relative percentages of diseased cows per days in milk (DIM), repeatability, and cow effect correlations for disease categories across DIM. A total of 1,370 German Holstein (GH) and 287 Fleckvieh (FV) primiparous and multiparous dairy cows from 12 dairy research farms in Germany were observed over a period of 2 yr. Farm staff and veterinarians recorded health data. We modeled health and production data with threshold random regression models and linear random regression models. From DIM 2 to 305 average daily DMI was 22.1 kg/d in GH and 20.2 kg/d in FV. Average weekly EB was 2.8 MJ of NE

Identifiants

pubmed: 33162077
pii: S0022-0302(20)30896-1
doi: 10.3168/jds.2020-18579
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

628-643

Informations de copyright

Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

V A E Becker (VAE)

Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany. Electronic address: vbecker@tierzucht.uni-kiel.de.

E Stamer (E)

TiDa Tier und Daten GmbH, 24259 Westensee/Brux, Germany.

G Thaller (G)

Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany.

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Classifications MeSH