Identifying and modeling meteorological risk factors associated with pre-harvest contamination of Listeria species in a mixed produce and dairy farm

This study sought to investigate the prevalence of Listeria species (including L. monocytogenes) in a mixed produce and dairy farm and to identify specific meteorological factors affecting Listeria spp. presence. Environmental samples were collected monthly from locations within the mixed farm over...

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Bibliographic Details
Published in:Food research international 2017-12, Vol.102, p.355-363
Main Authors: Pang, Hao, McEgan, Rachel, Mishra, Abhinav, Micallef, Shirley A., Pradhan, Abani K.
Format: Article
Language:English
Subjects:
Crop Production - methods
Dairying - methods
Food Microbiology
Listeria - classification
Listeria - genetics
Listeria - isolation & purification
Listeria species
Manure - microbiology
Meteorological factors
Microbiology
Mixed farm
Rain
Seasons
Soil Microbiology
Time Factors
Vegetables - growth & development
Vegetables - microbiology
Water
Wind
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Summary:This study sought to investigate the prevalence of Listeria species (including L. monocytogenes) in a mixed produce and dairy farm and to identify specific meteorological factors affecting Listeria spp. presence. Environmental samples were collected monthly from locations within the mixed farm over 14months and were analyzed for Listeria spp. Meteorological factors were evaluated for their association with the presence of Listeria spp. by using logistic regression (LR) and random forest (RF). The developed LR model identified wind speed and precipitation as significant risk factors (P
ISSN:0963-9969
1873-7145
DOI:10.1016/j.foodres.2017.09.029