Literature DB >> 32713704

Symposium review: Precision technologies for dairy calves and management applications.

Joao H C Costa1, Melissa C Cantor2, Heather W Neave3.   

Abstract

There is an increasing interest in using precision dairy technologies (PDT) to monitor real-time animal behavior and physiology in livestock systems around the world. Although PDT in adult cattle is extensively reviewed, PDT use for the management of preweaned dairy calves has not been reviewed. We systematically reviewed research on the use and application of precision technologies in calves. Accelerometers have the potential to be used to monitor lying behavior, step activity, and rumination, which are useful to detect changes in behavior that may be indicative of disease, responses to painful procedures, or positive welfare behaviors such as play. Automated calf feeding systems can control delivery of nutritional plans to individualize feeding and weaning of calves; changes in feeding behaviors (such as milk intake, drinking speed, and unrewarded visits) may also be used to identify early onset of disease. The PDT devices also measure physiological and physical attributes in dairy calves. For instance, temperature monitoring devices such as infrared thermography, ruminal boluses, and implanted microchips have been assessed in calves, but no herd management-based commercial system is available. Many other PDT are in development with potential to be used in dairy calf management, such as image and acoustic-based monitoring, real-time location, and use of enrichment items for monitoring positive emotional states. We conclude that PDT have great potential for application in dairy calf management, enabling precise behavioral and physiological monitoring, targeted feeding programs, and identification of calves with poor health or behavioral impairments. We strongly encourage further development and validation of commercially available technologies for on-farm application of the monitoring of dairy calf welfare, performance, and health.
Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  accelerometer; animal welfare; automated feeder; bovine respiratory disease; calf disease

Year:  2020        PMID: 32713704     DOI: 10.3168/jds.2019-17885

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


  6 in total

1.  Validation of an alternate method for monitoring the presence of cows at the feed bunk in a Calan Broadbent Feeding System using a 3-axis, data-logging accelerometer.

Authors:  Cesar Matamoros; Rebecca A Bomberger; Kevin J Harvatine
Journal:  JDS Commun       Date:  2021-10-22

2.  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

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.  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

5.  Validation of NEDAP Monitoring Technology for Measurements of Feeding, Rumination, Lying, and Standing Behaviors, and Comparison with Visual Observation and Video Recording in Buffaloes.

Authors:  Ray Adil Quddus; Nisar Ahmad; Anjum Khalique; Jalees Ahmed Bhatti
Journal:  Animals (Basel)       Date:  2022-02-25       Impact factor: 2.752

6.  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

  6 in total

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