resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes

A Bradley Duthie, Rosie Mangan, C Rose McKeon, Matthew C Tinsley and Luc F Bussière

PLOS Computational Biology, 2023, vol. 19, issue 12, 1-12

Abstract: The evolution of pesticide resistance is a widespread problem with potentially severe consequences for global food security. We introduce the resevol R package, which simulates individual-based models of pests with evolving genomes that produce complex, polygenic, and covarying traits affecting pest life history and pesticide resistance. Simulations are modelled on a spatially-explicit and highly customisable landscape in which crop and pesticide application and rotation can vary, making the package a highly flexible tool for both general and tactical models of pest management and resistance evolution. We present the key features of the resevol package and demonstrate its use for a simple example simulating pests with two covarying traits. The resevol R package is open source under GNU Public License. All source code and documentation are available on GitHub.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1011691

DOI: 10.1371/journal.pcbi.1011691

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