Data from: Temporal and agricultural factors influence E. coli survival in soil and transfer to cucumbers
Data and Resources
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PDF FilePDF
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Comma Separated Values FileCSV
Observed%20and%20Sigmoidal%20Model%20Predicted%20gEcLog%20values%20-...
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MS Excel FileXLS
Soil%20air%20temp%20cumulative%20rainfall%202018%202019.xlsx
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Comma Separated Values FileCSV
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MS Excel FileXLS
Formatted%20Soil%20Data%20for%20Random%20Forest%20Analysis.xlsx
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| modified | 2021-01-25 |
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| 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 |