Early-lactation diseases and fertility in 2 seasons of calving across US dairy herds.


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:
Nov 2020
Historique:
received: 22 11 2019
accepted: 26 06 2020
pubmed: 9 9 2020
medline: 12 1 2021
entrez: 8 9 2020
Statut: ppublish

Résumé

The objective of this study was to characterize incidences of health disorders during early lactation in a large population of Holstein cows calving in 2 seasons across multiple US dairy herds. In addition, cumulative effects of combinations of health-related events on fertility and survival by season of calving and parity number were tested. Data were prospectively collected from a total of 11,729 cows in 16 herds located in 2 regions in the United States [north (7,820 cows in 10 herds) and south (3,909 cows in 6 herds)]. Cows were enrolled at parturition and monitored weekly for disease occurrence, reproductive events, and survival. Health-related events were grouped into reproductive disorders (REP; dystocia, twins, retained fetal membranes, metritis, and clinical endometritis) and other disorders (OTH; subclinical ketosis, mastitis, displaced abomasum, and pneumonia). Counts of health events within 50 d postpartum were added into each of the groups and categorized as 0, 1, 2, 3, and ≥4 for REP and 0, 1, 2, and ≥3 for OTH. Multivariable logistic regression was used for testing potential associations between categories of disease occurrence and outcome variables, including resumption of ovarian cyclicity, pregnancy per artificial insemination (AI), pregnancy loss, and survival up to and after 50 DIM. The incidence of disease varied with season of calving and parity, and these 2 variables were associated with the reproductive and survival outcomes. The size of the detrimental effect of disease incidence on reproduction and survival depended on disease group and varied for each specific outcome. Resumption of ovarian cyclicity decreased as incidences of disorders increased in both REP and OTH categories. Pregnancy at first AI also was smaller in greater number of REP categories, but the effect of number of OTH categories on pregnancy at first AI was not consistent. Similarly, pregnancy loss at first AI was not affected consistently by REP or OTH. Survival was reduced by REP and OTH. The magnitude of these negative effects was variable, depending on season of calving and parity, but consistently increased with the number of health events during early lactation.

Identifiants

pubmed: 32896394
pii: S0022-0302(20)30648-2
doi: 10.3168/jds.2019-17951
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10560-10576

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

P Pinedo (P)

Department of Animal Sciences, Colorado State University, Fort Collins 80521. Electronic address: pinedop@colostate.edu.

J E P Santos (JEP)

Department of Animal Sciences, University of Florida, Gainesville 32611.

R C Chebel (RC)

College of Veterinary Medicine, University of Florida, Gainesville 32611.

K N Galvão (KN)

College of Veterinary Medicine, University of Florida, Gainesville 32611.

G M Schuenemann (GM)

Department of Veterinary Preventive Medicine, The Ohio State University, Columbus 43210.

R C Bicalho (RC)

College of Veterinary Medicine, Cornell University, Ithaca, NY 14850.

R O Gilbert (RO)

School of Veterinary Medicine, Ross University, St. Kitts, West Indies.

S Rodriguez Zas (S)

Department of Animal Sciences, University of Illinois, Urbana 61801.

C M Seabury (CM)

College of Veterinary Medicine, Texas A&M University, College Station 77843.

G Rosa (G)

Department of Animal Sciences, University of Wisconsin, Madison 53706.

W W Thatcher (WW)

Department of Animal Sciences, University of Florida, Gainesville 32611.

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Classifications MeSH