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Behavior assessment and applications for BRD diagnosis: preweaned dairy calves

Published online by Cambridge University Press:  02 December 2020

Catie Cramer*
Affiliation:
Department of Animal Sciences, Colorado State University, Fort Collins, CO80525, USA
Theresa L. Ollivett
Affiliation:
Food Animal Production Medicine, University of Wisconsin-Madison School of Veterinary Medicine, Madison, WI53706, USA
*
Author for correspondence: Catie Cramer, Department of Animal Sciences, Colorado State University, Fort Collins, CO 80525, USA. E-mail: [email protected]

Abstract

Bovine respiratory disease (BRD) is an important disease in dairy calves due to its long-lasting effects. Early identification results in better outcomes for the animal, but producers struggle to identify all calves with BRD. Sickness behavior, or the behavioral changes that accompany illness, has been investigated for its usefulness as a disease detection tool. Behavioral changes associated with BRD include decreased milk intake and drinking speed, depressed attitude, and less likelihood of approaching a novel object or stationary human. Behavioral measurements are useful, as they can be collected automatically or with little financial input. However, one limitation of many BRD behavioral studies includes the use of either lung auscultation or clinical signs as reference methods, which are imperfect. Additionally, external factors may influence the expression of sickness behavior, which can affect if and when behavior can be used to identify calves with BRD. Behavioral measures available to detect BRD lack adequate sensitivity and specificity to be the sole means of disease detection, especially when detection tools, such as calf lung ultrasound, have better test characteristics. However, using behavioral assessments in addition to other detection methods can allow for a robust BRD detection program that can ameliorate the consequences of BRD.

Type
Special issue: Papers from Bovine Respiratory Disease Symposium
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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