Decision support tool for managing Palmer amaranth launched


PAM start page

PAM page 2

There is now a helpful tool available to aid in deciding on management options for fields with Palmer amaranth. This tool allows users to enter information about a particular field and current herbicide programs, and it then helps decide the best management plan based on that field. It also gives advice on what level of control to expect in coming seasons based on current herbicide programs.

The Palmer Amaranth Integrated Management Model (PAM) was developed by the University of Arkansas and Texas A&M to assist cotton, corn, and/or soybean producers, consultants, distributors, and extension personnel in adopting integrated management tactics for the management of Palmer amaranth. The
tool promotes long-term economic viability of crop production through the minimization of adverse
economic, human health, and environmental impacts associated with herbicide resistance. PAM uses the Microsoft Excel® software platform.

Click here to access the tool – download it to your computer to use it: Palmer Amaranth Integrated Management Model (PAM) (link to download the tool)

Click here for the user manual for the Palmer Amaranth Integrated Management Model(PAM): PAM User Manual

The PAM software serves as a valuable decision-support tool for guiding integrated management of Palmer amaranth by utilizing existing research knowledge and providing a greater understanding of the long-term biological (seedbank size and persistence) and economic (improved cost-benefit analysis) implications of various management choices. Decision support will allow improved crop production and profitability through adoption of IPM tactics. Using IPM preserves the long-term utility of available herbicide options, and minimizes the human health risks and environmental impacts associated with herbicide resistance.

PAM was developed by Karen Lindsay (U of Arkansas), Michael Popp (U of Arkansas), Muthukumar Bagavathiannan (Texas A&M), and Jason Norsworthy (U of Arkansas)

 Extracted from original article by Michael Popp, University of Arkansas