Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identification of Changes In Rumination Behavior Registered With An Online Sensor System In Cows With Subclinical Mastitis

Version 1 : Received: 17 July 2022 / Approved: 25 July 2022 / Online: 25 July 2022 (05:23:01 CEST)

How to cite: Antanaitis, R.; Juozaitienė, V.; Malašauskienė, D.; Televičius, M.; Urbutis, M.; Rutkauskas, A.; Šertvytytė, G.; Baumgartner, W. Identification of Changes In Rumination Behavior Registered With An Online Sensor System In Cows With Subclinical Mastitis. Preprints 2022, 2022070348. https://doi.org/10.20944/preprints202207.0348.v1 Antanaitis, R.; Juozaitienė, V.; Malašauskienė, D.; Televičius, M.; Urbutis, M.; Rutkauskas, A.; Šertvytytė, G.; Baumgartner, W. Identification of Changes In Rumination Behavior Registered With An Online Sensor System In Cows With Subclinical Mastitis. Preprints 2022, 2022070348. https://doi.org/10.20944/preprints202207.0348.v1

Abstract

The aim of the current study was to determine the relation between subclinical mastitis and rumination behavior registered with an online sensor system. According to the results of the general clinical examination of 650 milking cows, 10 cows with subclinical mastitis (SCM) and 10 clinical healthy cows (HG) were selected (without clinical signs of any diseases). Rumination behavior biomarkers were registered with RumiWatch noseband sensor (RWS; ITIN + HOCH GmbH, Fütterungstechnik, Liestal, Switzerland). Sensors were implanted on the first day after calving. Data from the RWS from 13th days before the diagnosis and 13 days after diagnosis of SCM were used to compare with HG data during the same period. The healthy cows were monitored during the same days as the SCM cows.

Keywords

subclinical mastitis; rumination; activity; early diagnosis; precision agriculture

Subject

Biology and Life Sciences, Animal Science, Veterinary Science and Zoology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.