To a Predictive Model of Pathogen Die-off in Soil Following Manure Application

Andrew Skelton () and Allan R. Willms ()
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Andrew Skelton: University of Guelph, Department of Mathematics and Statistics
Allan R. Willms: University of Guelph, Department of Mathematics and Statistics

A chapter in Mathematical and Computational Approaches in Advancing Modern Science and Engineering, 2016, pp 309-317 from Springer

Abstract: Abstract The application of manure is an important component of nutrient management in the production of field crops. The regulations governing the safe application of manure are based on laboratory data, which may or may not accurately reflect the environmental fluctuations seen in field conditions. This study aims to develop a predictive model for pathogen die-off in soil following manure application. An ordinary differential equation model is presented and fit to experimental data. The challenges of modelling field derived data, including detection thresholds, viable but nonculturable bacteria and difficulties in winter data collection, are discussed. The capabilities of the model for predictive purposes and the development of additional experimental trials and data collection methods are discussed.

Keywords: Ordinary Differential Equation Model; VBNC State; Pathogen Level; Future Environmental Condition; Fine Sandy Loam Soil (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-30379-6_29

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DOI: 10.1007/978-3-319-30379-6_29

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