Defining Integrated Weed Management: A Novel Conceptual Framework for Models

A - Papers appearing in refereed journals

Storkey, J., Helps, J., Hull, R. I., Milne, A. E. and Metcalfe, H. 2021. Defining Integrated Weed Management: A Novel Conceptual Framework for Models. Agronomy. 11 (4), p. 747. https://doi.org/10.3390/agronomy11040747

AuthorsStorkey, J., Helps, J., Hull, R. I., Milne, A. E. and Metcalfe, H.
Abstract

Weed population dynamics models are an important tool for predicting the outcome of alternative Integrated Weed Management (IWM) scenarios. The growing problem of herbicide resistance has increased the urgency for these tools in the design of sustainable IWM solutions. We developed a conceptual framework for defining IWM as a standardised input template to allow output from different models to be compared and to design IWM scenarios. The framework could also be used as a quantitative metric to determine whether more diverse systems are more sustainable and less vulnerable to herbicide resistance using empirical data. Using the logic of object-oriented programming, we defined four classes of weed management options based on the stage in the weed life cycle that they impact and processes that mediate their effects. Objects in the same class share a common set of properties that determine their behaviour in weed population dynamics models. Any weed control “event” in a system is associated with an object, meaning alternative management scenarios can be built by systematically adding events to a model either to compare existing systems or design novel approaches. Our framework is designed to be generic, allowing IWM systems from different cropping systems and countries to be compared.

Year of Publication2021
JournalAgronomy
Journal citation11 (4), p. 747
Digital Object Identifier (DOI)https://doi.org/10.3390/agronomy11040747
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Publisher's version
Output statusPublished
Publication dates
Online12 Apr 2021
Publication process dates
Accepted08 Apr 2021
ISSN2073-4395
PublisherMDPI

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