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RIM: Anatomy of a Weed Management Decision Support System for Adaptation and Wider Application

Published online by Cambridge University Press:  20 January 2017

Myrtille Lacoste  and
Stephen Powles
Myrtille Lacoste*
Affiliation:
Australian Herbicide Resistance Initiative (AHRI), School of Plant Biology, University of Western Australia, Perth WA 6009, Australia
Stephen Powles
Affiliation:
Australian Herbicide Resistance Initiative (AHRI), School of Plant Biology, University of Western Australia, Perth WA 6009, Australia
*
Corresponding author's E-mail: [email protected]
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Abstract

RIM, or “Ryegrass Integrated Management,” is a model-based software allowing users to conveniently test and compare the long-term performance and profitability of numerous ryegrass control options used in Australian cropping systems. As a user-friendly decision support system that can be used by farmers, advisers, and industry professionals, RIM can aid the delivery of key recommendations among the agricultural community for broadacre cropping systems threatened by herbicide resistance. This paper provides advanced users and future developers with the keys to modify the latest version of RIM in order to facilitate future updates, modifications, and adaptations to other situations. The various components of RIM are mapped and explained, and the key principles underlying the construction of the model are explained. The implementation of RIM into a Microsoft Excel® software format is also documented, with details on how user inputs are coded and parameterized. An overview of the biological, agronomic, and economic components of the model is provided, with emphasis on the ryegrass biological characteristics most critical for its effective management. The extreme variability of these parameters and the subsequent limits of RIM are discussed. The necessary compromises were achieved by emphasizing the primary end-use of the program as a decision support system for farmers and advisors.

Keywords

Annual rigid ryegrass, Lolium rigidum GaudAdoptionagriculturebio-economic modelsDSSextensionherbicide resistancemanagement simulationweed economics
Type
Weed Management
Information
Weed Science , Volume 63 , Issue 3 , September 2015 , pp. 676 - 689
Copyright
Copyright © Weed Science Society of America 

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References

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