The objective of this study was to compare the absorption and M. hyopneumoniae detection by real-time PCR using nylon-flocked and rayon-bud swabs. Results of this study showed that absorption and detection of M. hyopneumoniae were significantly higher in nylon-flocked swabs with Ct differences only ranging from 0.5 to 1.7.
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http://dx.doi.org/10.1016/j.mimet.2017.08.007 | DOI Listing |
Vet Med (Praha)
December 2024
Scientific Institute of Veterinary Medicine of Serbia, Belgrade, Serbia.
and are causative agents of the porcine respiratory disease complex. However, information on the prevalence of these pathogens in wild boars is scarce. This study aimed to investigate the presence of antibodies to and in wild boars in Serbia.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
State Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China.
() is one of the primary agents involved in porcine respiratory disease complex, and circulates in the swine industry worldwide. The prevention and control of is complicated. Thus, a recombinase-aided amplification (RAA) assay coupled with the clustered regularly-interspaced short palindromic repeats (CRISPR)/Cas12a system was established for the detection of .
View Article and Find Full Text PDFJ Vet Med Sci
January 2025
Laboratory of Veterinary Infectious Disease, College of Veterinary Medicine, Jeonbuk National University, Jeonbuk, Republic of Korea.
Vet Microbiol
December 2024
Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA; Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA; Swine Disease Eradication Center, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA. Electronic address:
Viruses
October 2024
Clinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University München, 85764 München, Germany.
A 24/7 AI sound-based coughing monitoring system was applied in combination with oral fluids (OFs) and bioaerosol (AS)-based screening for respiratory pathogens in a conventional pig nursery. The objective was to assess the additional value of the AI to identify disease patterns in association with molecular diagnostics to gain information on the etiology of respiratory distress in a multimicrobially infected pig population. Respiratory distress was measured 24/7 by the AI and compared to human observations.
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