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Upgrading the RIM Model for Improved Support of Integrated Weed Management Extension Efforts in Cropping Systems

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 user-friendly weed management software that integrates long-term economics. As a model-based decision support system, RIM enables users to easily build 10-year cropping scenarios and evaluate the impacts of management choices on annual rigid ryegrass populations and long-term profitability. Best used in a workshop format to enable learning through interactions, RIM can provide insights for the sustainable management of ryegrass through “what-if” scenarios in regions facing herbicide resistance issues. The upgrade of RIM is presented, with changes justified from an end-user perspective. The implementation of the model in a new, intuitive software format is presented, as well as the revision, update, and documentation of over 40 management options. Enterprises, establishment systems, and control options were redefined to represent current practices, with the notable inclusion of customizable herbicide options and techniques for weed seed control at harvest. Several examples of how RIM can be used with farmers to demonstrate the benefits of adopting recommended practices for managing or delaying the onset of herbicide resistance are presented. Originally designed for the dryland broadacre systems of the Australian southern grainbelt, RIM's underlying modeling was restructured to facilitate future updates and adaptation to other weed species and cropping regions.

RIM (por sus siglas en inglés) o “Manejo Integrado de Lolium rigidum” es un programa amigable con el usuario para el manejo de malezas que integra factores económicos en el largo plazo. Como un sistema de apoyo para la toma de decisiones basado en un modelo, RIM permite a los usuarios construir escenarios de producción de cultivos de 10 años de duración y evaluar el impacto de las decisiones de manejo en las poblaciones de L. rigidum y en la rentabilidad a largo plazo. Al usarse en un formato de taller que facilite el aprendizaje mediante interacciones, RIM puede brindar una visión para el manejo sostenible de L. rigidum a través de escenarios “y qué pasa si” en regiones con problemas de resistencia a herbicidas. Aquí se presenta una actualización de RIM con cambios justificados desde una perspectiva del usuario final. Se presenta la implementación del modelo en un formato nuevo e intuitivo, además de la revisión, actualización y documentación de 40 opciones de manejo. Proyectos productivos, sistemas de establecimiento, y las opciones de control fueron redefinidas para representar prácticas actuales, con la notable inclusión de opciones de herbicidas personalizables para el control de semillas de malezas durante la cosecha. Adicionalmente, se presentan varios ejemplos de cómo se puede usar RIM con los productores para demostrar los beneficios de la adopción de prácticas recomendadas para el manejo o el atraso en la aparición de resistencia a herbicidas. Aunque originalmente se diseñó para sistemas de producción extensiva sin riego de la zona productora de granos del sur de Australia, el modelaje en el que se basa RIM fue estructurado para facilitar actualizaciones futuras y la adaptación a otras especies de malezas y otras regiones agrícolas.

Keywords

Annual rigid ryegrass, Lolium rigidum Gaud.Adoptionagriculturebioeconomicsdecision support systemfarmerssimulation
Type
Research Article
Information
Weed Technology , Volume 28 , Issue 4 , December 2014 , pp. 703 - 720
Copyright
Copyright © Weed Science Society of America 

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References

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