Literature DB >> 27136023

Changes in feeding behavior patterns and dry matter intake before clinical symptoms associated with bovine respiratory disease in growing bulls.

K S Jackson, G E Carstens, L O Tedeschi, W E Pinchak.   

Abstract

Methods to improve accuracy of preclinical detection of bovine respiratory disease (BRD) are needed to reduce the economic impact of this disease, improve animal welfare, and promote more judicious use of antimicrobials in beef cattle. The objectives of this study were to retrospectively characterize time-series deviations in DMI and feeding behavior patterns preceding the display of observed clinical symptoms associated with BRD and to identify those feeding behavior traits that would be most predictive of BRD. The study was conducted with 231 seed stock bulls (391 ± 55 kg initial BW) representing 5 breeds that were housed in a facility equipped with GrowSafe feed bunks at a commercial bull-test facility. All bulls were vaccinated against standard viral and bacterial pathogens before and on arrival at the facility. Daily DMI and feeding behavior traits (frequency and duration of bunk visit events, head-down duration, variance of nonfeeding intervals, and time to approach feed bunk following feed-truck delivery) were measured for 70 d with a GrowSafe system. During a 10-d period from Day 28 to 37 of the trial, 30 bulls were administered antimicrobial therapy for clinical symptoms of BRD (rectal temperatures > 39.5°C). All remaining bulls ( = 201) were administered metaphylactic therapy on Day 38 of the trial in response to an acute decrease in feed intake. A retrospective analysis was conducted using a 2-slope broken-line regression model to identify inflection points in DMI and feeding behavior traits relative to onset of illness. The bulls were separated into 2 cohort groups based on observed clinical illness ( = 30) or those metaphylactically treated ( = 201), with the 2-slope broken-line regression model applied separately to each cohort. The model-detected inflection points for DMI were 6.8 and 3.8 d before observed clinical illness and metaphylactic treatment, respectively, and the reductions in DMI from detected inflection points to the day of observed clinical illness and day of metaphylactic treatment were 39.3 and 49.8%, respectively. Furthermore, the model-detected inflection points for individual feeding behavior traits ranged from 1.3 to 14.2 d before observed clinical illness and from 3.8 to 12.6 d before metaphylactic treatment. Results from this study demonstrate the potential value of electronic behavior-monitoring systems to improve the sensitivity and specificity of preclinical detection of BRD in feedlot cattle.

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Year:  2016        PMID: 27136023     DOI: 10.2527/jas.2015-9993

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  10 in total

1.  Differential haptoglobin responsiveness to a Mannheimia haemolytica challenge altered immunologic, physiologic, and behavior responses in beef steers.

Authors:  Lauren R Wottlin; Gordon E Carstens; William C Kayser; William E Pinchak; Jennifer M Thomson; Valerie Copié; Galen P O'Shea-Stone
Journal:  J Anim Sci       Date:  2020-12-22       Impact factor: 3.159

2.  Efficacy of statistical process control procedures to identify deviations in continuously measured physiologic and behavioral variables in beef steers experimentally challenged with Mannheimia haemolytica.

Authors:  William C Kayser; Gordon E Carstens; Ira L Parsons; Kevin E Washburn; Sara D Lawhon; William E Pinchak; Eric Chevaux; Andrew L Skidmore
Journal:  J Anim Sci       Date:  2020-02-01       Impact factor: 3.159

3.  Efficacy of statistical process control procedures to identify deviations in continuously measured physiological and behavioral variables in beef heifers resulting from an experimentally combined viral-bacterial challenge.

Authors:  William Christian Kayser; Gordon E Carstens; Ira Loyd Parsons; Kevin E Washburn; Sara D Lawhon; William E Pinchak; Eric Chevaux; Andrew L Skidmore
Journal:  J Anim Sci       Date:  2021-09-01       Impact factor: 3.338

4.  Effect of ruminal acidosis and short-term low feed intake on indicators of gastrointestinal barrier function in Holstein steers.

Authors:  Rae-Leigh A Pederzolli; Andrew G Van Kessel; John Campbell; Steve Hendrick; Katie M Wood; Gregory B Penner
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

5.  Evaluation of statistical process control procedures to monitor feeding behavior patterns and detect onset of bovine respiratory disease in growing bulls.

Authors:  William C Kayser; Gordon E Carstens; Kirby S Jackson; William E Pinchak; Amarnath Banerjee; Yu Fu
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

6.  Differential haptoglobin responsiveness to a Mannheimia haemolytica challenge altered immunologic, physiologic, and behavior responses in beef steers.

Authors:  Lauren R Wottlin; Gordon E Carstens; William C Kayser; William E Pinchak; Jennifer M Thomson; Valerie Copié; Galen P O'Shea-Stone
Journal:  J Anim Sci       Date:  2021-01-01       Impact factor: 3.159

7.  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

8.  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

9.  Behavioral and performance response associated with administration of intravenous flunixin meglumine or oral meloxicam immediately prior to surgical castration in bull calves.

Authors:  Charley A Cull; Darrel J Rezac; Keith D DeDonder; Jon E Seagren; Brooke J Cull; Vijay K Singu; Miles E Theurer; Miriam Martin; Raghavendra G Amachawadi; Michael D Kleinhenz; Kelly F Lechtenberg
Journal:  J Anim Sci       Date:  2022-05-01       Impact factor: 3.338

10.  Evaluation of predictive models to determine total morbidity outcome of feedlot cattle based on cohort-level feed delivery data during the first 15 days on feed.

Authors:  L Heinen; P A Lancaster; B J White; E Zwiefel
Journal:  Transl Anim Sci       Date:  2022-08-29
  10 in total

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