Data from: Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy plants reveal opportunities for simplified and size-appropriate environmental monitoring strategies
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Samantha Bolten, Timothy T. Lott, Robert D. Ralyea, Anika Gianforte, Aljosa Trmcic, Renato H. Orsi, Nicole H. Martin, Martin Wiedmann. (2023) Data from: Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy plants reveal opportunities for simplified and size-appropriate environmental monitoring strategies. [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/ah3b-ew05
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This research was supported by the New York Dairy Promotion Order grant (Albany, NY, Award Number: #C012388) awarded to M. Wiedmann and N. H. Martin.
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2023
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Listeria monocytogenes; dairy; small processing plants; environmental monitoring programs; persistence
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Bolten, S., Lott, T.T., Ralyea, R.D., Gianforte, A., Trmcic, A., Orsi, R.H., Martin, N.H. and Wiedmann, M. (2024). Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy facilities reveal opportunities for simplified and size-appropriate environmental monitoring strategies. Journal of Food Protection, 87(4),100254. https://doi.org/10.1016/j.jfp.2024.100254
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