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Impacts of Climate and Management Variables on the Contamination of Preharvest Leafy Greens with Escherichia coli

机译:气候和管理变量对收获前绿叶蔬菜被大肠杆菌污染的影响

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摘要

The observed seasonally of foodborne disease suggests that climatic conditions play a role and that changes in the climate may affect the presence of pathogens. However, it is hard to determine whether this effect is direct or whether it works indirectly through other factors, such as farm management. This study aimed to identify the climate and management variables that are associated with the contamination (presence and concentration) of leafy green vegetables with E. coli. This study used data about E. coli contamination from 562 leafy green vegetables (lettuce and spinach) samples taken between 2011 and 2013 from 23 open-field farms in Belgium, Brazil, Egypt, Norway, and Spain. Mixed-effect logistic and linear regression models were used to study ' the statistical relationship between the dependent and independent variables. Climate variables and agricultural management practices together had a systematic influence on E, coli presence and concentration. The variables important for E. coli presence included the minimum temperature of the sampling day (odds ratio = 1.47), region, and application of inorganic fertilizer. The variables important for concentration (R = 0.75) were the maximum temperature durihg the 3 days before sampling and the region. Temperature had a stronger influence (had a significant parameter estimate and the highest R~2 ) than did management practices on E. coli presence and concentration. Region was a variable that masked many management variables, including rainwater, surface water, manure, inorganic fertilizer, and spray irrigation. Climate variables had a positive relationship with E. coli presence and concentration. Temperature, irrigation water type, fertilizer type, and irrigation method should be systematically considered in future studies of fresh produce safety.
机译:食源性疾病的季节性观察表明,气候条件发挥了作用,气候变化可能会影响病原体的存在。但是,很难确定这种影响是直接的还是通过其他因素(例如农场管理)间接起作用。这项研究旨在确定与大肠杆菌污染叶类绿色蔬菜有关的气候和管理变量。这项研究使用了2011年至2013年间从比利时,巴西,埃及,挪威和西班牙的23个露天农场采集的562种多叶绿色蔬菜(生菜和菠菜)样品中的大肠杆菌污染数据。混合效应逻辑和线性回归模型用于研究因变量和自变量之间的统计关系。气候变量和农业管理实践共同对大肠杆菌,大肠杆菌的存在和浓度产生了系统的影响。对于大肠杆菌的存在重要的变量包括采样日的最低温度(优势比= 1.47),区域和无机肥料的施用。对于浓度而言重要的变量(R = 0.75)是采样前3天的最高温度和该区域的温度。温度比管理实践对大肠杆菌的存在和浓度的影响更大(有重要的参数估计和最高的R〜2)。地区是一个变量,掩盖了许多管理变量,包括雨水,地表水,肥料,无机肥料和喷灌。气候变量与大肠杆菌的存在和浓度呈正相关。在未来新鲜农产品安全性研究中,应系统地考虑温度,灌溉水类型,肥料类型和灌溉方法。

著录项

  • 来源
    《Journal of food protection》 |2016年第1期|17-29|共13页
  • 作者单位

    Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, 6700AA Wageningen, The Netherlands;

    Environmental Systems Analysis Group, Wageningen University, P.O. Box 47, 6700AA Wageningen, The Netherlands;

    National Institute for Public Health and the Environment (RIVM), Centre Infectious Disease Control, 3720 BA Bilthoven, The Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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