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Designing herbicide formulation characteristics to maximize efficacy and minimize rice injury in paddy environments
Author(s) -
Cryer Steven A,
Mann Richard K,
ErhardtZabik Susan,
Keeney F Nelson,
Handy Paul R
Publication year - 2001
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.326
Subject(s) - biological system , pesticide , granule (geology) , echinochloa , mathematics , environmental science , agronomy , biology , weed control , paleontology
Mathematical descriptors, coupled with experimental observations, are used to quantify differential uptake of an experimental herbicide in Japonica and Indica rice ( Oryza sativa , non‐target) and barnyardgrass ( Echinochloa crus‐galli , target). Partitioning, degradation, plant uptake and metabolism are described using mass‐balance conservation equations in the form of kinetic approximations. Estimated environmental concentrations, governed by the pesticide formulation, are described using superimposed analytical solutions for the one‐dimensional diffusion equation in spherical coordinates and by a finite difference representation of the two‐dimensional diffusion equation in Cartesian coordinates. Formulation attributes from granules include active ingredient release rates, particle sizes, pesticide loading, and granule spacing. The diffusion model for pesticide transport is coupled with the compartment model to follow the fate and transport of a pesticide from its initial application location to various environmental matrices of interest. Formulation effects, partitioning and degradation in the various environmental matrices, differential plant uptake and metabolism, and dose‐response information for plants are accounted for. This novel model provides a mechanism for selecting formulation delivery systems that optimize specific attributes (such as weed control or the therapeutic index) for risk‐assessment procedures. In this report we describe how this methodology was used to explore the factors affecting herbicide efficacy and to define an optimal release rate for a granule formulation. © 2001 Society of Chemical Industry