Literature DB >> 28918146

Short communication: Automated detection of behavioral changes from respiratory disease in pre-weaned calves.

T H Swartz1, A N Findlay2, C S Petersson-Wolfe3.   

Abstract

Group housing of calves can pose a challenge in identifying respiratory disease; therefore, it is necessary to develop tools that can identify these disease events. In this experiment, pre-weaned calves (n = 30) were housed in groups with an automatic calf feeder and were fitted with an accelerometer. Step activity, lying behaviors, and feeding behaviors were recorded to determine the effect of respiratory disease. All calves were health scored twice daily, and calves with respiratory scores ≥5 were diagnosed with respiratory disease (n = 10). Each diseased calf was match paired with a healthy control based on the date of disease diagnosis, breed, and age. Control calves were determined to be healthy if they had respiratory scores ≤4, as well as fecal, navel, and joint scores of 0 or 1. Diseased calves were less active before, on the day of, and after respiratory disease diagnosis. Furthermore, diseased calves had reduced lying frequencies starting 2 d before diagnosis, as well as after diagnosis. Last, diseased calves consumed less milk on the day of diagnosis when compared with healthy controls. Step activity, lying bouts, and milk intake may prove to be a useful tool in identifying respiratory disease under practical farming, but this requires further research.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  activity; calf; feeding behavior; respiratory disease

Mesh:

Year:  2017        PMID: 28918146     DOI: 10.3168/jds.2016-12280

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  9 in total

1.  Social networks respond to a disease challenge in calves.

Authors:  Katharine C Burke; Sarah do Nascimento-Emond; Catherine L Hixson; Emily K Miller-Cushon
Journal:  Sci Rep       Date:  2022-06-01       Impact factor: 4.996

2.  Early Detection of Respiratory Diseases in Calves by Use of an Ear-Attached Accelerometer.

Authors:  Nasrin Ramezani Gardaloud; Christian Guse; Laura Lidauer; Alexandra Steininger; Florian Kickinger; Manfred Öhlschuster; Wolfgang Auer; Michael Iwersen; Marc Drillich; Daniela Klein-Jöbstl
Journal:  Animals (Basel)       Date:  2022-04-23       Impact factor: 3.231

Review 3.  Methods for Pain Assessment in Calves and Their Use for the Evaluation of Pain during Different Procedures-A Review.

Authors:  Theresa Tschoner
Journal:  Animals (Basel)       Date:  2021-04-25       Impact factor: 2.752

4.  Physiological and behavioral responses as indicators for early disease detection in dairy calves.

Authors:  G L Lowe; M A Sutherland; J R Waas; A L Schaefer; N R Cox; M Stewart
Journal:  J Dairy Sci       Date:  2019-04-17       Impact factor: 4.034

5.  The Use of an Activity Monitoring System for the Early Detection of Health Disorders in Young Bulls.

Authors:  Mohammed Anouar Belaid; Maria Rodriguez-Prado; Eric Chevaux; Sergio Calsamiglia
Journal:  Animals (Basel)       Date:  2019-11-05       Impact factor: 2.752

6.  A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice.

Authors:  Dengsheng Sun; Laura Webb; P P J van der Tol; Kees van Reenen
Journal:  Front Vet Sci       Date:  2021-11-26

7.  Feeding behavior and activity levels are associated with recovery status in dairy calves treated with antimicrobials for Bovine Respiratory Disease.

Authors:  M C Cantor; David L Renaud; Heather W Neave; Joao H C Costa
Journal:  Sci Rep       Date:  2022-03-22       Impact factor: 4.379

8.  Short Communication: Association between neonatal calf diarrhea and lying behaviors.

Authors:  Turner H Swartz; Hollie H Schramm; Christina S Petersson-Wolfe
Journal:  Vet Anim Sci       Date:  2020-04-14

9.  Measurement of dairy calf behavior prior to onset of clinical disease and in response to disbudding using automated calf feeders and accelerometers.

Authors:  M A Sutherland; G L Lowe; F J Huddart; J R Waas; M Stewart
Journal:  J Dairy Sci       Date:  2018-06-13       Impact factor: 4.034

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.