Data from: Temporal and agricultural factors influence E. coli survival in soil and transfer to cucumbers

Escherichia coli survival in soils containing either composted poultry litter (CPL), heat-treated poultry pellets (HTPP), poultry litter (PL) or unamended (chemical fertilizer). Test plots were either covered with plastic mulch (M) or not mulched (NoM). The study was conducted in 2018 and 2019 during cucumber growing seasons at the University of Delaware research farm and each study lasted 120 days. Data from the current study were collected to examine the survival of non-pathogenic Escherichia coli and transfer to cucumbers grown in same field in two separate years. Soil moisture, total nitrogen, nitrate, total carbon, soluble carbon, soluble solids, rainfall, soil temperature and air temperature, along with the number of days needed for E. coli to decline by 4 log CFU/gdw, were included in random forest models used to a) predict 4-log declines of E. coli inoculated to soils and b) transfer of E. coli to cucumbers from soils with different biological soil amendments. The data included here are specifically for other investigators to use to make different forms or versions of three different statistical models used in the submitted manuscript. Data for three models are included: 1) Dpi4log, the number of days needed for E. coli levels in various combinations of year, amendment and mulch, were calculated by applying sigmoidal (single, double, triple, or quadruple) model to E. coli data collected over time. 2) A random forest model using soil and weather data was used to determine which factors listed above best predicted dpi4log values. This model accounted for 98% of the observed variance. 3) A random forest model using soil and weather data, along with dpi4log, was used to predict transfer of E. coli to soils from cucumbers (log MPN/cucumber). This model accounted for approximately 63% of the variance in the study.

Data and Resources

Field Value
accessLevel public
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • agroecosystems-amp-environment-soil
  • amerigeo
  • amerigeoss
  • biological-soil-amendments
  • ckan
  • escherichia-coli
  • food-safety
  • geo
  • geoss
  • national
  • north-america
  • np108
  • plastic-mulch
  • poultry-litter
  • rainfall
  • united-states
isopen True
license_id cc-zero
license_title Creative Commons CCZero
license_url http://www.opendefinition.org/licenses/cc-zero
maintainer Sharma, Manan
maintainer_email manan.sharma@usda.gov
metadata_created 2025-11-21T20:26:53.432267
metadata_modified 2025-11-21T20:26:53.432271
notes <p><em>Escherichia coli</em> survival in soils containing either composted poultry litter (CPL), heat-treated poultry pellets (HTPP), poultry litter (PL) or unamended (chemical fertilizer). Test plots were either covered with plastic mulch (M) or not mulched (NoM). The study was conducted in 2018 and 2019 during cucumber growing seasons at the University of Delaware research farm and each study lasted 120 days. Data from the current study were collected to examine the survival of non-pathogenic <em>Escherichia coli</em> and transfer to cucumbers grown in same field in two separate years. Soil moisture, total nitrogen, nitrate, total carbon, soluble carbon, soluble solids, rainfall, soil temperature and air temperature, along with the number of days needed for <em>E. coli</em> to decline by 4 log CFU/gdw, were included in random forest models used to a) predict 4-log declines of <em>E. coli</em> inoculated to soils and b) transfer of <em>E. coli</em> to cucumbers from soils with different biological soil amendments.<br /> The data included here are specifically for other investigators to use to make different forms or versions of three different statistical models used in the submitted manuscript. Data for three models are included:<br /> 1) Dpi4log, the number of days needed for <em>E. coli</em> levels in various combinations of year, amendment and mulch, were calculated by applying sigmoidal (single, double, triple, or quadruple) model to <em>E. coli</em> data collected over time.<br /> 2) A random forest model using soil and weather data was used to determine which factors listed above best predicted dpi4log values. This model accounted for 98% of the observed variance.<br /> 3) A random forest model using soil and weather data, along with dpi4log, was used to predict transfer of <em>E. coli</em> to soils from cucumbers (log MPN/cucumber). This model accounted for approximately 63% of the variance in the study.</p>
num_resources 5
num_tags 16
title Data from: Temporal and agricultural factors influence E. coli survival in soil and transfer to cucumbers