Farm management practices that affect the prevalence of Salmonella in pastured poultry farms

被引:16
作者
Hwang, Daizy [1 ]
Rothrock, Michael J., Jr. [2 ]
Pang, Hao [3 ]
Kumar, Govindaraj Dev [4 ]
Mishra, Abhinav [1 ]
机构
[1] Univ Georgia, Dept Food Sci & Technol, 100 Cedar St, Athens, GA 30602 USA
[2] ARS, Egg Safety & Qual Res Unit, US Natl Poultry Res Ctr, USDA, Athens, GA USA
[3] Univ Maryland, Joint Inst Food Safety & Appl Nutr, College Pk, MD 20742 USA
[4] Univ Georgia, Ctr Food Safety, Griffin, GA USA
关键词
Pastured poultry farm; Salmonella; Food safety; Farm safety; Predictive models; ANTIMICROBIAL RESISTANCE; CONTAMINATION; PRODUCE; WATER; SOIL; ENVIRONMENT; SURVIVAL; FLOCKS; SPP;
D O I
10.1016/j.lwt.2020.109423
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Farm practices can affect the prevalence of Salmonella in the final product when poultry are exposed to the outside environment. Pastured poultry farms in the Southeastern United States were investigated in this study. Farm practice and processing variables that may affect the presence of Salmonella were determined by developing predictive models using the random forest method. Important variables affecting the prevalence of Salmonella in preharvest (feces and soil), and postharvest (whole carcass rinses) samples were identified. Predictive models were generated with each type of sample, and the models were tested with the corresponding test set. The model performances were measured by the area under curve (AUC) values from the receiver operating characteristic (ROC) curve. All models developed in this study were robust in predicting Salmonella presence, with AUC values above 0.83. It was found that as the number of years of operation increased, there was increase in predicted probability of finding Salmonella. The first three ingredients in the brood and pasture feed were identified as the top predicting variables for both preharvest and postharvest variables. These models and data can help to inform pastured poultry producers about management practices that can reduce Salmonella prevalence within their production systems.
引用
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页数:8
相关论文
共 33 条
[1]  
[Anonymous], 2018, REP SEL SALM OUTBR I
[2]  
APPA, 2019, AM POULTR PROD ASS
[3]   Occurrence of generic Escherichia coli, E. coli O157 and Salmonella spp. in water and sediment from leafy green produce farms and streams on the Central California coast [J].
Benjamin, Lisa ;
Atwill, Edward R. ;
Jay-Russell, Michele ;
Cooley, Michael ;
Carychao, Diana ;
Gorski, Lisa ;
Mandrell, Robert E. .
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2013, 165 (01) :65-76
[4]  
Brennan C., 2003, International Journal of Consumer Studies, V27, P381, DOI DOI 10.1046/J.1470-6431.2003.00307.X
[5]   Occurrence and characterization of Salmonella from chicken nuggets, strips, and pelleted broiler feed [J].
Bucher, O. ;
Holley, R. A. ;
Ahmed, R. ;
Tabor, H. ;
Nadon, C. ;
Ng, L. K. ;
D'Aoust, J.-Y. .
JOURNAL OF FOOD PROTECTION, 2007, 70 (10) :2251-2258
[6]  
CDC, 2018, NAT OUTBR REP SYST N
[7]  
CDC, 2010, What Is Salmonellosis
[8]   Geographical and Meteorological Factors Associated with Isolation of Listeria Species in New York State Produce Production and Natural Environments [J].
Chapin, Travis K. ;
Nightingale, Kendra K. ;
Worobo, Randy W. ;
Wiedmann, Martin ;
Strawn, Laura K. .
JOURNAL OF FOOD PROTECTION, 2014, 77 (11) :1919-1928
[9]  
Dev Kumar G., 2017, Trends in Food Safety and Protection, P107, DOI DOI 10.1201/9781315114859-5
[10]  
Fanatico A. C., 2002, LABEL ROUGE PASTURE