Individual and herd-level milk ELISA test status for Johne's disease in Ireland after correcting for non-disease-associated variables.


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 12 2019
accepted: 26 05 2020
pubmed: 5 8 2020
medline: 31 12 2020
entrez: 5 8 2020
Statut: ppublish

Résumé

Antibody-detecting tests for Mycobacterium avium ssp. paratuberculosis (MAP) have low sensitivity and imperfect specificity for detection of infection. Sensitivity increases as the disease progresses. Aside from infection status and stage of disease, several factors affect test performance. These factors have not yet been studied in dairy cows producing lower volumes of milk with higher solids concentration, such as those managed in low-input, pasture-based production systems. Furthermore, the effect of correcting for these associations on individual and herd test status is also unknown. The first objective of this study was to examine the relationship between MAP antibody response in milk and milk yield, somatic cell count (SCC), fat and protein contents, and stage of lactation in dairy cows enrolled in the national Johne's Disease Control Programme (JDCP) in Ireland. The second objective was to examine the effect of correcting the antibody response for these associations on the test status of individual cows and herds, given that individual tests are often used to define a herd's status. Data were extracted for herds in the JDCP from January 2014 to December 2015 inclusive, consisting of 42,657 milk recordings from 18,569 cows across 187 dairy herds. Two linear regression models were constructed to investigate the association between log-transformed MAP sample-to-positive ratio and milk recording data and in primi- and multiparous cows. Days in milk was modeled as a B-spline in each model, and cow and herd were included as random effects. Across both models, natural log-transformed MAP antibody response was negatively associated with milk yield, positively associated with protein and fat production, and had a curvilinear association with log-transformed SCC. The association between MAP antibody response and days in milk varied over the course of the lactation. However, when combined, these variables explained only 5.1% of the variation in the antibody response of the population. After correcting for these associations, 93 multiparous cows and 20 primiparous cows changed category (negative, suspect, or positive). When considered at the herd-test level, out of a total of 531 herd tests, 1 herd changed from negative to positive, and 5 herds changed from positive to negative. This study provides useful information to aid in the interpretation of antibody results for herds testing animals for the presence of MAP infection. At an overall population level, correction of the serological response for non-disease-associated factors has the potential to change the status of only a small number of cows. At the herd level, the proportion of herds changing status was minimal. However, depending on the implications of a herd-level serological diagnosis, consideration should be given to correcting for these non-disease-associated variables within the context of national JD control programs.

Identifiants

pubmed: 32747098
pii: S0022-0302(20)30573-7
doi: 10.3168/jds.2019-18018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9345-9354

Informations de copyright

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

Auteurs

Conor G McAloon (CG)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland, D04 W6F6. Electronic address: conor.mcaloon@ucd.ie.

Luke O'Grady (L)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland, D04 W6F6.

Bruno Botaro (B)

Dairy Farm Systems Consultant, Auckland, 0612, New Zealand.

Simon J More (SJ)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland, D04 W6F6.

Michael Doherty (M)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland, D04 W6F6.

Paul Whyte (P)

Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland, D04 W6F6.

Søren Saxmose Nielsen (S)

Department of Veterinary and Animal Sciences, University of Copenhagen, 1850 Frederiksberg Copenhagen, Denmark.

Lorna Citer (L)

Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, N41 WN27, Ireland.

Kevin Kenny (K)

Central Veterinary Research Laboratory, DAFM Laboratories, Backweston, Celbridge, Co. Kildare, W23 X3PH, Ireland.

David Graham (D)

Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, N41 WN27, Ireland.

Martin Green (M)

School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom, LE12 5RD.

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Classifications MeSH