Back to Search Start Over

Short communication: Informative value of an ELISA applied to bulk tank milk to assess within-herd prevalence of digital dermatitis in dairy herds.

Authors :
Aubineau T
Relun A
Gentin B
Guatteo R
Source :
Journal of dairy science [J Dairy Sci] 2021 Jan; Vol. 104 (1), pp. 963-968. Date of Electronic Publication: 2020 Nov 06.
Publication Year :
2021

Abstract

The objective of this study was to assess whether an antibody ELISA applied to bulk tank milk (BTM) could be used to accurately estimate within-herd prevalence of digital dermatitis (DD). The ELISA was designed for the detection of antibodies against Treponema phagedenis-like strain V1 (PrrA antigen). The hind feet of all lactating cows from 40 commercial French dairy herds with a history of DD were scored by an observer in the milking parlor, using the 4 M-stage system. After milking, a BTM sample was collected and tested for anti-Treponema phagedenis-like antibodies using the antibody ELISA. Within-herd DD prevalence at the cow level was determined using 2 different approaches: (1) having DD lesion on at least 1 hind foot (Prev; prevalence of affected cows), and (2) having an M1 or M2 lesion on at least 1 hind foot (PrevA; prevalence of cows affected by DD in an active stage). Receiver operating characteristic analysis was used to determine both optimal within-herd DD prevalence and BTM sample to positive (S/P) ratio cut-off values. Two optimal cut-off values were identified. Herds with an S/P ratio of BTM ≤0.2 had a Prev ≤10% (sensitivity = 0.97, specificity = 1), whereas herds with an S/P ratio of BTM >0.38 had a Prev >40% (sensitivity = 0.94, specificity = 0.86). In the same way but with a slightly lower specificity, an S/P ratio >0.38 corresponds also to a PrevA >18% (sensitivity = 0.92, specificity = 0.70). The BTM antibody ELISA shows great promise for screening purposes during DD management programs.<br /> (Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1525-3198
Volume :
104
Issue :
1
Database :
MEDLINE
Journal :
Journal of dairy science
Publication Type :
Academic Journal
Accession number :
33162093
Full Text :
https://doi.org/10.3168/jds.2020-18673