Heat load increases the risk of clinical mastitis in dairy 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:
Sep 2020
Historique:
received: 15 10 2019
accepted: 11 04 2020
pubmed: 23 6 2020
medline: 30 12 2020
entrez: 23 6 2020
Statut: ppublish

Résumé

The study was aimed at assessing heat load-related risk of clinical mastitis (CM) in dairy cows. Records of CM for the years 2014 and 2015 were obtained from a large conventional dairy farm milking about 1,200 Holstein cows in central Italy. A case of CM was defined by the presence of clinical signs and veterinary confirmation. Quarter milk samples were collected and bacteriological investigated for each CM. Etiological agents were identified and classified as environmental or contagious pathogens. Hourly weather data from the nearest weather station were used to calculate heat load index (HLI). Upper and lower thresholds of HLI, at which the animal accumulates or dissipates heat, were settled and used to measure heat load balance through the accumulated heat load (AHL) model. Zero and positive values of AHL indicate periods of thermo-neutral and heat accumulation, respectively. Each case of CM was associated with HLI-AHL values recorded 5 d before the event. The risk of CM was evaluated using a case-crossover design. A conditional logistic regression model was used to calculate the odds ratio and 95% confidence intervals of CM recorded in thermo-neutral (AHL = 0) or heat load (AHL > 0) days, pooled or stratified for pathogen type (environmental or contagious). Classes of AHL as low (<6.5), medium (6.6-34.9), and high (>35) were included in the model. Other variables included in the model were milk yield as liters (<20, 20-30, and >30), days in milk (<60, 60-150, and >150), and parity (1, 2-3, and >3). A total of 1,086 CM cases were identified from 677 cows. Escherichia coli, Streptococcus spp., and Streptococcus uberis were the environmental pathogens isolated with the highest frequency; Staphylococcus aureus prevailed within contagious species. The analysis of pooled data indicated a significant effect of heat load on the occurrence of CM in the contagious pathogen stratum. Higher milk yield, middle and late stage of lactation, and older parity increased the risk of CM under heat load conditions. However, the association between pathogen type and these factors was not clear because the model provided significant odds ratios within all pathogen categories. The present study provided the first evidence of an association between HLI and CM in dairy cattle and suggested the ability of the AHL model to assess the risk of mastitis associated with heat load.

Identifiants

pubmed: 32564950
pii: S0022-0302(20)30458-6
doi: 10.3168/jds.2019-17748
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8378-8387

Informations de copyright

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

Auteurs

A Vitali (A)

Dipartimento Scienze Agrarie e Forestali, Università della Tuscia, 01100 Viterbo, Italy. Electronic address: vitali@unitus.it.

A Felici (A)

Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche, 06126 Perugia, Italy.

A M Lees (AM)

School of Agriculture and Food Sciences, The University of Queensland, Gatton, QLD 4343, Australia; School of Environmental and Rural Science, Animal Science, University of New England Australia, Armidale, NSW, Australia, 2350.

G Giacinti (G)

Istituto Zooprofilattico Sperimentale del Lazio e Toscana, 00178 Roma, Italy.

C Maresca (C)

Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche, 06126 Perugia, Italy.

U Bernabucci (U)

Dipartimento Scienze Agrarie e Forestali, Università della Tuscia, 01100 Viterbo, Italy.

J B Gaughan (JB)

School of Agriculture and Food Sciences, The University of Queensland, Gatton, QLD 4343, Australia.

A Nardone (A)

Dipartimento Scienze Agrarie e Forestali, Università della Tuscia, 01100 Viterbo, Italy.

N Lacetera (N)

Dipartimento Scienze Agrarie e Forestali, Università della Tuscia, 01100 Viterbo, Italy.

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Classifications MeSH