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1 December 2017 PAM: Decision Support for Long-Term Palmer Amaranth (Amaranthus palmeri) Control
Karen Lindsay, Michael Popp, Jason Norsworthy, Muthukumar Bagavathiannan, Stephen Powles, Myrtille Lacoste
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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.

Nomenclature: Palmer amaranth, Amaranthus palmeri S. Wats.

© Weed Science Society of America, 2017
Karen Lindsay, Michael Popp, Jason Norsworthy, Muthukumar Bagavathiannan, Stephen Powles, and Myrtille Lacoste "PAM: Decision Support for Long-Term Palmer Amaranth (Amaranthus palmeri) Control," Weed Technology 31(6), 915-927, (1 December 2017). https://doi.org/10.1017/wet.2017.69
Received: 21 March 2017; Accepted: 1 August 2017; Published: 1 December 2017
KEYWORDS
Decision support software
farm management
weed control
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