Adopting epidemiological approaches for herbicide resistance monitoring and management

A - Papers appearing in refereed journals

Comont, D. and Neve, P. 2020. Adopting epidemiological approaches for herbicide resistance monitoring and management. Weed Research.

AuthorsComont, D. and Neve, P.
Abstract

The widespread use and increasing reliance on herbicides for weed control has resulted in a global epidemic of evolved herbicide resistance in weed populations. In response, there has been a great deal of research effort to document resistance cases, understand the genetic and physiological mechanisms of resistance, and use models and model organisms to explore resistance management strategies. Here, we argue that the field of epidemiology, which systematically studies the extent, distribution and determinants of a harmful organism or condition, can greatly contribute to our efforts to understand the emergence, selection and spread of herbicide resistance. By systematically collecting data on weed abundance and distribution, the frequency and mechanisms of resistance, and agronomic and environmental metadata, it is possible to develop statistical models that identify the underlying relationships between these elements. In doing so, these approaches can provide novel insight into the relative importance, origin, and spread of different resistance mechanisms, and the agronomic, ecological and evolutionary drivers that dictate the dynamics of resistance evolution at local to global scales. Emerging technologies in weed surveillance, genomics and resistance diagnostics, statistics, and data science will greatly facilitate the collection and analysis of large-scale data sets, providing unprecedented potential for epidemiological analyses of the evolution of herbicide resistance at landscape scales.

KeywordsEpidemiology of herbicide resistance
Year of Publication2020
JournalWeed Research
Digital Object Identifier (DOI)doi:10.1111/wre.12420
Open accessPublished as non-open access
FunderBBSRC Industrial Strategy Challenge
Innovate UK
Funder project or codeBBSRC Strategic Programme in Smart Crop Protection
Output statusPublished
Publication dates
Online28 May 2020
Publication process dates
Accepted25 Mar 2020
PublisherWiley
ISSN0043-1737

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