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Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data

Bonestroo, John and van der Voort, Mariska and Fall, Nils and Hogeveen, Henk and Emanuelson, Ulf and Klaas, Ilka Christine (2021). Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data. Journal of Dairy Science. 104 , 3458-3473
[Research article]

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Abstract

In automatic milking systems (AMS), sensors can measure cow behavior and milk composition at every milking. The aim of this observational study of previously collected data was to gain insight into the differences in dynamics of udder inflammation indicators between cows that recover and those that do not recover after detection of an initial inflammation. Milk diversion (milk separated from the bulk tank and thus indicating farmer intervention), conductivity, and somatic cell count (SCC) data from 4 wk before the initial inflammation to 12 wk after the initial inflammation were used to analyze 2,584 cases of udder inflammation. An udder inflammation case was defined as an initial observation of SCC >= 200,000 cells/mL as well as 1 additional SCC measurement >200,000 cells/mL within 10 d after the initial case, among other requirements. The data originated from 15 AMS herds in 6 countries. Four subsets of cows were created based on whether milk was diverted after the initial inflammation and whether the udder inflammation cases recovered, using a 10-d rolling average SCC threshold of 200,000 cells/mL and checking whether this rolling mean was below the threshold within 90 d after the initial inflammation as the indication of recovery. This formed the following subsets of cow lactations: milk diverted-recovered, milk diverted-not recovered, no milk diverted-not recovered, no milk diverted-recovered. Thresholds of 100,000 SCC/mL and 300,000 SCC/mL for the definition of case and recovery were also applied in a sensitivity analysis but with no substantial difference in results. Linear mixed models were used for each subset to study the variation in SCC (natural logarithm of SCC divided by 1,000) and sigma-conductivity (natural logarithm of standard deviation of quarter conductivities). When observing the fraction of cows with SCC <200,000 cells/mL in the recovery subsets, most cows recovered within 20 d after the initial inflammation. In the recovery subsets, both sigma-conductivity and SCC stabilized, mostly within 3 to 4 wk after the initial inflammation. sigma-Conductivity stabilized above the pre-onset level in all subsets and did not show a clear increase in the no-milk-diverted subgroups, whereas SCC stabilized closer to the pre-onset level. Overall, this study indicated a cutoff point between nonchronic and chronic changes in indicators 3 to 4 wk after the initial inflammation for SCC and sigma-conductivity.

Authors/Creators:Bonestroo, John and van der Voort, Mariska and Fall, Nils and Hogeveen, Henk and Emanuelson, Ulf and Klaas, Ilka Christine
Title:Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data
Series Name/Journal:Journal of Dairy Science
Year of publishing :2021
Volume:104
Page range:3458-3473
Number of Pages:16
ISSN:0022-0302
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 402 Animal and Dairy Science > Animal and Dairy Science.
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 403 Veterinary Science > Clinical Science
Keywords:mastitis, recovery, conductivity, somatic cell count
URN:NBN:urn:nbn:se:slu:epsilon-p-109999
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-109999
Additional ID:
Type of IDID
DOI10.3168/jds.2019-18054
Web of Science (WoS)000630004500077
ID Code:23309
Faculty:VH - Faculty of Veterinary Medicine and Animal Science
Department:(VH) > Dept. of Clinical Sciences
Deposited By: SLUpub Connector
Deposited On:20 Apr 2021 10:43
Metadata Last Modified:20 Apr 2021 10:51

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