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PAM: Decision Support for Long-Term Palmer Amaranth (Amaranthus palmeri) Control

Published online by Cambridge University Press:  19 October 2017

Karen Lindsay ,
Michael Popp ,
Jason Norsworthy ,
Muthukumar Bagavathiannan ,
Stephen Powles  and
Myrtille Lacoste
Karen Lindsay
Affiliation:
Research Associate and Professor, Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701
Michael Popp*
Affiliation:
Research Associate and Professor, Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 72701
Jason Norsworthy
Affiliation:
Professor and Elms Farming Chair of Weed Science, Crop, Soil and Environmental Science Department, University of Arkansas, Fayetteville, AR 72704
Muthukumar Bagavathiannan
Affiliation:
Assistant Professor, Soil and Crop Sciences Department, Texas A&M University, College Station, TX 77843
Stephen Powles
Affiliation:
Winthrop Professor, Australian Herbicide Resistance Initiative (AHRI), School of Plant Biology, University of Western Australia, Perth, WA 6009
Myrtille Lacoste
Affiliation:
Research Fellow, Agriculture and Socio-economics, University of Western Australia, Perth, WA 6009
*
*Corresponding author’s E-mail: mpopp@uark.edu
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Abstract

Palmer amaranth is the most troublesome weed problem in mid-southern US crop production. Herbicides continue to be the most commonly employed method for managing Palmer amaranth, despite the weed’s widespread resistance to them. Therefore, farmers need research and extension efforts that promote the adoption of integrated weed management (IWM) techniques. Producers, crop consultants, educators, and researchers would be more likely to deploy diversified chemical and nonchemical weed management options if they are more informed about long-term biological and economic implications via user-friendly decision-support software. Described within is a recently developed software that demonstrates the effects of Palmer amaranth management practices on soil seedbank, risk of resistance evolution, and economics over a 10-year planning horizon. Aiding this objective is a point-and-click interface that provides feedback on resistance risk, yield potential, profitability, soil seedbank dynamics, and error checking of management options.

Keywords

Palmer amaranthAmaranthus palmeri S. Wats.Decision support softwareweed controlfarm management
Type
Weed Management-Techniques
Information
Weed Technology , Volume 31 , Issue 6 , December 2017 , pp. 915 - 927
Copyright
© Weed Science Society of America, 2017 

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Footnotes

Associate Editor for This Paper: Mark VanGessel, University of Delaware.

References

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