Literature DB >> 26830058

Associations between animal characteristic and environmental risk factors and bovine respiratory disease in Australian feedlot cattle.

K E Hay1, J M Morton2, T J Mahony3, A C A Clements4, T S Barnes5.   

Abstract

A prospective longitudinal study was conducted in a population of Australian feedlot cattle to assess associations between animal characteristic and environmental risk factors and risk of bovine respiratory disease (BRD). Animal characteristics were recorded at induction, when animals were individually identified and enrolled into study cohorts (comprising animals in a feedlot pen). Environmental risk factors included the year and season of induction, source region and feedlot region and summary variables describing weather during the first week of follow-up. In total, 35,131 animals inducted into 170 cohorts within 14 feedlots were included in statistical analyses. Causal diagrams were used to inform model building and multilevel mixed effects logistic regression models were fitted within the Bayesian framework. Breed, induction weight and season of induction were significantly and strongly associated with risk of BRD. Compared to Angus cattle, Herefords were at markedly increased risk (OR: 2.0, 95% credible interval: 1.5-2.6) and tropically adapted breeds and their crosses were at markedly reduced risk (OR: 0.5, 95% credible interval: 0.3-0.7) of developing BRD. Risk of BRD declined with increased induction weight, with cattle in the heaviest weight category (≥480kg) at moderately reduced risk compared to cattle weighing <400kg at induction (OR: 0.6, 95% credible interval: 0.5-0.7). Animals inducted into feedlots during summer (OR: 2.4, 95% credible interval: 1.4-3.8) and autumn (OR: 2.1, 95% credible interval: 1.2-3.2) were at markedly increased risk compared to animals inducted during spring. Knowledge of these risk factors may be useful in predicting BRD risk for incoming groups of cattle in Australian feedlots. This would then provide the opportunity for feedlot managers to tailor management strategies for specific subsets of animals according to predicted BRD risk.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine respiratory disease; Causal diagram; Feedlot; Risk factors; Total effects

Mesh:

Year:  2016        PMID: 26830058     DOI: 10.1016/j.prevetmed.2016.01.013

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  5 in total

1.  Mycoplasma bovis and viral agents associated with the development of bovine respiratory disease in adult dairy cows.

Authors:  Thalita Evani Silva Oliveira; Isadora Fernanda Pelaquim; Eduardo Furtado Flores; Rodrigo Pelisson Massi; Milton James Jiménez Valdiviezo; Lucienne Garcia Pretto-Giordano; Amauri Alcindo Alfieri; João Paulo Elsen Saut; Selwyn Arlington Headley
Journal:  Transbound Emerg Dis       Date:  2019-06-24       Impact factor: 4.521

2.  Predictive Models for Weekly Cattle Mortality after Arrival at a Feeding Location Using Records, Weather, and Transport Data at Time of Purchase.

Authors:  Lauren Wisnieski; David E Amrine; David G Renter
Journal:  Pathogens       Date:  2022-04-15

3.  The innate immune stimulant Amplimune® is safe to administer to young feedlot cattle.

Authors:  A L Alexander; E Doyle; A B Ingham; I Colditz; G McRae; S Alkemade; M P Cervantes; B C Hine
Journal:  Aust Vet J       Date:  2022-02-27       Impact factor: 1.343

4.  Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle.

Authors:  Sébastien Picault; Pauline Ezanno; Kristen Smith; David Amrine; Brad White; Sébastien Assié
Journal:  Vet Res       Date:  2022-10-04       Impact factor: 3.829

5.  Associations between exposure to viruses and bovine respiratory disease in Australian feedlot cattle.

Authors:  K E Hay; T S Barnes; J M Morton; J L Gravel; M A Commins; P F Horwood; R C Ambrose; A C A Clements; T J Mahony
Journal:  Prev Vet Med       Date:  2016-02-02       Impact factor: 2.670

  5 in total

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