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Abstract: Prevalence and Antimicrobial Resistance of Nontyphoidal Salmonella enterica from Head Meat and Trim for Ground Product at Pork Processing Facilities

Abstract: Prevalence and Antimicrobial Resistance of Nontyphoidal Salmonella enterica from Head Meat and Trim for Ground Product at Pork Processing Facilities

Pork head meat may harbor Salmonella and contaminate other carcass by-products during harvest and fabrication. A large pork processing plant in the United States was sampled bimonthly for 11 months to determine the concentration, prevalence, seasonality, serotype diversity, and antimicrobial susceptibility of Salmonella enterica isolated from cheek meat and head trim of swine carcasses. Each collection consisted of 25 samples on two consecutive days in the morning and afternoon shifts, for a total of 100 cheek meat and 100 head trim samples each month. Tissues were cultured for Salmonella by using restrictive media and enrichment techniques, and a subset of isolates was serotyped, analyzed for antimicrobial susceptibility, and genome sequenced. Salmonella postenrichment prevalence did not differ (P = 0.20) between cheek meat (63%) and head trim (66%). Postenrichment prevalence differed (P < 0.05) by month (January, 94%; March, 80%; May, 54%; July, 59%; September, 47%; and November, 55%) and by processing shift (morning, 68%; afternoon, 62%). The subset (n = 618) of isolates selected for serotyping yielded 21 distinct serotypes: Typhimurium (49%), Infantis (10%), Heidelberg (8%), I 4,[5],12:i:- (8%), and 17 other types (≤5%). In total, 407 multidrug-resistant (MDR; resistance to three or more antibiotic classes) isolates were identified. There were 120 isolates that exhibited the penta-resistant ACSSuT phenotype. In addition, 113 isolates exhibited decreased susceptibility to ciprofloxacin (MIC ≥ 0.12 μg/mL).

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Exploring Precision Data in Swine Production - Dr. Janice Siegford

Video: Exploring Precision Data in Swine Production - Dr. Janice Siegford


In this episode of The Swine it Podcast Show, Dr. Janice Siegford from Michigan State University discusses how precision livestock farming data can support pig health, welfare, transparency, and decision making. She explains why data ownership, privacy, consumer perception, and cost sharing must be addressed as technology becomes more common on farms. Listen now on all major platforms.

“Precision livestock farming data can support producers, veterinarians, certifiers, and consumers by enabling improved monitoring, prediction, and decision-making across the entire production system.”

Meet the guest: Dr. Janice Siegford / janice-siegford-24318839 is a Professor and Associate Chair in the Department of Animal Science at Michigan State University. Her expertise in animal welfare, neuroscience, and zoology supports research on pig behavior, stress resilience, and precision livestock farming. Her work explores early weaning, genetics, and stakeholder perspectives on technology adoption to improve pig care, health, and productivity. Learn more from Dr. Janice Siegford on The Swine it Podcast Show, available on all major platforms.