Comparison of sampling methods and diagnostic techniques for recovery of Mannheimia haemolytica from feedlot cattle

Authors

  • William B. Crosby Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762
  • John T. Richeson Department of Agriculture Sciences, West Texas A&M University, Canyon, TX, 79016
  • John Dustin Loy Veterinary Diagnostic Laboratory, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE, 68583
  • Sheryl P. Gow Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, S7N 5B4, Canada
  • Keun Seok Seo Department of Basic Sciences,, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762
  • Sarah F. Capik Veterinary Education, Research, and Outreach (VERO) Center, West Texas A&M University & Texas A&M University, Canyon, TX, 79016
  • Amelia R. Woolums Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762
  • Paul S. Morley Veterinary Education, Research, and Outreach (VERO) Center, West Texas A&M University & Texas A&M University, Canyon, TX, 79016

Keywords:

bovine respiratory disease, feedlot cattle, Mannheimia haemolytica

Abstract

Bovine respiratory disease (BRD), an economically impactful disease of feedlot cattle, is caused by interactions between host and environmental factors and pathogens. The current standard for antemortem pathogen identification is guarded deep nasopharyngeal swabbing, which is technically challenging, costly, and waste generating. The objective was to compare recovery rates of Mannheimia haemolytica (MH) by culture and real time-quantitative polymerase chain reaction (qPCR) using guarded deep nasopharyngeal swabs (DNPS), 16 in. proctology swabs (PS) and 6 in. nasal swabs (NS).

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Published

2021-10-09

Issue

2021 Annual Conference Proceedings

Section

Research Summaries

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