1. Dairy management practices associated with multi-drug resistant fecal commensals and Salmonella in cull cows: a machine learning approach.
- Author
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Pandit, Pranav S, Pandit, Pranav S, Williams, Deniece R, Rossitto, Paul, Adaska, John M, Pereira, Richard, Lehenbauer, Terry W, Byrne, Barbara A, Li, Xunde, Atwill, Edward R, Aly, Sharif S, Pandit, Pranav S, Pandit, Pranav S, Williams, Deniece R, Rossitto, Paul, Adaska, John M, Pereira, Richard, Lehenbauer, Terry W, Byrne, Barbara A, Li, Xunde, Atwill, Edward R, and Aly, Sharif S
- Abstract
BackgroundUnderstanding the effects of herd management practices on the prevalence of multidrug-resistant pathogenic Salmonella and commensals Enterococcus spp. and Escherichia coli in dairy cattle is key in reducing antibacterial resistant infections in humans originating from food animals. Our objective was to explore the herd and cow level features associated with the multi-drug resistant, and resistance phenotypes shared between Salmonella, E. coli and Enterococcus spp. using machine learning algorithms.MethodsRandomly collected fecal samples from cull dairy cows from six dairy farms in central California were tested for multi-drug resistance phenotypes of Salmonella, E. coli and Enterococcus spp. Using data on herd management practices collected from a questionnaire, we built three machine learning algorithms (decision tree classifier, random forest, and gradient boosting decision trees) to predict the cows shedding multidrug-resistant Salmonella and commensal bacteria.ResultsThe decision tree classifier identified rolling herd average milk production as an important feature for predicting fecal shedding of multi-drug resistance in Salmonella or commensal bacteria. The number of culled animals, monthly culling frequency and percentage, herd size, and proportion of Holstein cows in the herd were found to be influential herd characteristics predicting fecal shedding of multidrug-resistant phenotypes based on random forest models for Salmonella and commensal bacteria. Gradient boosting models showed that higher culling frequency and monthly culling percentages were associated with fecal shedding of multidrug resistant Salmonella or commensal bacteria. In contrast, an overall increase in the number of culled animals on a culling day showed a negative trend with classifying a cow as shedding multidrug-resistant bacteria. Increasing rolling herd average milk production and spring season were positively associated with fecal shedding of multidrug- resistant Salmonella
- Published
- 2021