Literature DB >> 34788846

Evaluation of reticulorumen temperature boluses for the diagnosis of subclinical cases of bovine respiratory disease in feedlot cattle.

Emilie A-L Flattot1,2, Tony R Batterham1,2,3, Edouard Timsit4, Brad J White5, Joe P McMeniman6, Michael P Ward7, Luciano A González2,8.   

Abstract

Bovine respiratory disease (BRD) is the most important and costly health issue of the feedlot industry worldwide. Remote monitoring of reticulorumen temperature has been suggested as a potential tool to improve the diagnostic accuracy of BRD. The present study aimed to evaluate 1) the difference and degree of reticulorumen hyperthermia episodes between healthy and subclinical BRD feedlot steers, and 2) determine the correlation between reticulorumen hyperthermia and lung pathology, performance, and carcass traits. Mixed-breed feedlot steers (n = 148) with a mean arrival weight of 321 ± 3.34 kg were administered a reticulorumen bolus at feedlot entry and monitored for visual and audible signs of BRD until slaughter when lungs were examined and scored for lesions indicative of BRD. Post-slaughter animals with no record of BRD treatment were assigned to one of three case definitions. Healthy steers had no visual or audible signs of BRD (i.e., CIS=1), and total lung consolidation score < 5% or pleurisy score < 3 at slaughter. Subclinical BRD cases had a CIS of 1, and a lung consolidation score ≥ 5% or a pleurisy score of 3 at slaughter. Mild CIS cases had at least one CIS of 2, and a lung consolidation score < 5% and a pleurisy score < 3 at slaughter. Subclinical BRD and mild CIS cases had longer total duration of reticulorumen hyperthermia, more episodes and longer average episode duration above 40.0 °C compared to healthy steers (P < 0.05). A moderate positive correlation was found between lung consolidation and total duration (r = 0.27, P < 0.001), episode duration (r = 0.29, P < 0.001), and number of episodes (r = 0.20, P < 0.05). Pleurisy score was also found to be moderately and positively correlated with total duration (r = 0.23, P < 0.01), episode duration (r = 0.37, P < 0.001), and number of episodes (r = 0.26, P < 0.01). Moderate negative correlations were found between reticulorumen hyperthermia and carcass traits including hot standard carcass weight (HSCW) (-0.22 ≤ r ≤ -0.23, P < 0.05) and P8-fat depth (-0.18 ≤ r ≤ -0.32, P < 0.05). Subclinical BRD reduced carcass weight by 22 kg and average daily gain (ADG) by 0.44 kg/day compared to healthy steers (P < 0.05), but mild CIS cases had no effect on performance (P > 0.05). The reticulorumen bolus technology appears promising for detection of subclinical BRD cases in feedlot cattle as defined by lung pathology at slaughter.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  bovine respiratory disease; feedlot cattle; lung pathology; performance; reticulorumen temperature; subclinical

Mesh:

Year:  2021        PMID: 34788846      PMCID: PMC8668176          DOI: 10.1093/jas/skab337

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


  25 in total

1.  Early detection of bovine respiratory disease in young bulls using reticulo-rumen temperature boluses.

Authors:  Edouard Timsit; Sébastien Assié; René Quiniou; Henri Seegers; Nathalie Bareille
Journal:  Vet J       Date:  2010-10-13       Impact factor: 2.688

Review 2.  Clinical trial design in feedlots.

Authors:  L J Perino; M D Apley
Journal:  Vet Clin North Am Food Anim Pract       Date:  1998-07       Impact factor: 3.357

3.  Evaluating rumen temperature as an estimate of core body temperature in Angus feedlot cattle during summer.

Authors:  Angela M Lees; V Sejian; J C Lees; M L Sullivan; A T Lisle; J B Gaughan
Journal:  Int J Biometeorol       Date:  2019-03-13       Impact factor: 3.787

4.  An evaluation of the economic effects of bovine respiratory disease on animal performance, carcass traits, and economic outcomes in feedlot cattle defined using four BRD diagnosis methods.

Authors:  Claudia Blakebrough-Hall; Joe P McMeniman; Luciano A González
Journal:  J Anim Sci       Date:  2020-02-01       Impact factor: 3.159

Review 5.  Host Tolerance to Infection with the Bacteria that Cause Bovine Respiratory Disease.

Authors:  Laura L Bassel; Saeid Tabatabaei; Jeff L Caswell
Journal:  Vet Clin North Am Food Anim Pract       Date:  2020-07       Impact factor: 3.357

6.  Febrile-range hyperthermia augments neutrophil accumulation and enhances lung injury in experimental gram-negative bacterial pneumonia.

Authors:  Penelope Rice; Erica Martin; Ju-Ren He; Mariah Frank; Louis DeTolla; Lisa Hester; Timothy O'Neill; Cheu Manka; Ivor Benjamin; Ashish Nagarsekar; Ishwar Singh; Jeffrey D Hasday
Journal:  J Immunol       Date:  2005-03-15       Impact factor: 5.422

7.  An evaluation of bovine respiratory disease complex in feedlot cattle: Impact on performance and carcass traits using treatment records and lung lesion scores.

Authors:  M J Schneider; R G Tait; W D Busby; J M Reecy
Journal:  J Anim Sci       Date:  2009-01-30       Impact factor: 3.159

Review 8.  A Systematic Review of Bovine Respiratory Disease Diagnosis Focused on Diagnostic Confirmation, Early Detection, and Prediction of Unfavorable Outcomes in Feedlot Cattle.

Authors:  Barbara Wolfger; Edouard Timsit; Brad J White; Karin Orsel
Journal:  Vet Clin North Am Food Anim Pract       Date:  2015-07-22       Impact factor: 3.357

9.  Comparison of reticular and rectal core body temperatures in lactating dairy cows.

Authors:  J M Bewley; M E Einstein; M W Grott; M M Schutz
Journal:  J Dairy Sci       Date:  2008-12       Impact factor: 4.034

Review 10.  Diagnostic accuracy of clinical illness for bovine respiratory disease (BRD) diagnosis in beef cattle placed in feedlots: A systematic literature review and hierarchical Bayesian latent-class meta-analysis.

Authors:  E Timsit; N Dendukuri; I Schiller; S Buczinski
Journal:  Prev Vet Med       Date:  2016-11-09       Impact factor: 2.670

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