Mycoplasma bovis infection in dairy herds-Risk factors and effect of control measures.


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:
Feb 2021
Historique:
received: 30 04 2020
accepted: 11 09 2020
pubmed: 15 12 2020
medline: 1 4 2021
entrez: 14 12 2020
Statut: ppublish

Résumé

As Mycoplasma bovis spreads to new countries and becomes increasingly recognized as a disease with major welfare and economic effects, control measures on dairy farms are needed. To minimize the risk of infection spread to naive herds, all possible risk factors for M. bovis infection should be identified and controlled. Mycoplasma bovis was first diagnosed in dairy cattle in Finland in 2012, and by January 2020, 86 Finnish dairy farms (<1.5%) supporting M. bovis infections were identified. We evaluated risk factors for M. bovis infection using a questionnaire provided to 40 infected and 30 control dairy farms. Control measures were advised for 19 of the infected dairy farms during visits by a veterinarian. The course of the infection on those farms was followed by analyzing calf nasal swabs with PCR for presence of M. bovis 4 times at 6-mo intervals. Control measures included culling of M. bovis mastitic cows, isolation of new calves from older animals after initial M. bovis mastitic cows had been culled, prevention of nose-to-nose contact with infected animals, early detection of mastitis cases using M. bovis PCR, and hygiene measures mainly related to milking, calf pens, feeding buckets, and teats. Farms implemented the control measures related to the isolation of calves or avoidance of nose-to-nose contact in various ways, according to farm structures and financial circumstances.
In our study, the control measures recommended to the dairy farms appeared effective, such that 13 of 19 farms reached a low risk level during at least 3 consecutive negative samplings from calves, with no M. bovis mastitis detected subsequently. Among risk factors, insemination with an M. bovis-positive bull indicated a trend of increasing the odds of M. bovis infection on the farm in a multivariable logistic model. In contrast, higher herd average milk yield had an association with lower odds for M. bovis infection. Occurrence of other infectious diseases affecting several animals on the dairy farm in the previous 6 mo before M. bovis infection were more frequent on M. bovis-infected farms.

Identifiants

pubmed: 33309344
pii: S0022-0302(20)31016-X
doi: 10.3168/jds.2020-18814
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2254-2265

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

Vera Haapala (V)

Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Paroninkuja 20, 04920 Saarentaus, Finland. Electronic address: vera.haapala@helsinki.fi.

Nella Vähänikkilä (N)

Finnish Food Authority, Neulaniementie 4, 70210 Kuopio, Finland.

Laura Kulkas (L)

Valio Oy, Meijeritie 6, 00370 Helsinki, Finland.

Erja Tuunainen (E)

Animal Health ETT ry, PL 221, 60101 Seinäjoki, Finland.

Tarja Pohjanvirta (T)

Finnish Food Authority, Neulaniementie 4, 70210 Kuopio, Finland.

Tiina Autio (T)

Finnish Food Authority, Neulaniementie 4, 70210 Kuopio, Finland.

Sinikka Pelkonen (S)

Finnish Food Authority, Neulaniementie 4, 70210 Kuopio, Finland.

Timo Soveri (T)

Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Paroninkuja 20, 04920 Saarentaus, Finland.

Heli Simojoki (H)

Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Paroninkuja 20, 04920 Saarentaus, Finland; Department of Agricultural Sciences, University of Helsinki, PL 27 00014, Helsinki, Finland.

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Classifications MeSH