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WEEDING: A Weed Ecology and Economic Decision Making INstructional Game

Published online by Cambridge University Press:  12 June 2017

Lori J. Wiles,
Gail G. Wilkerson and
Harold D. Coble
Lori J. Wiles
Affiliation:
Dept. Crop Sci., Box 7620, N.C. State University, NC 27695-7620
Gail G. Wilkerson
Affiliation:
Dept. Crop Sci., Box 7620, N.C. State University, NC 27695-7620
Harold D. Coble
Affiliation:
Dept. Crop Sci., Box 7620, N.C. State University, NC 27695-7620
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Abstract

Process-level simulation models can be a unique and effective medium for teaching concepts of crop biology and management which can usually only be studied in the field. WEEDING was developed from several research models to demonstrate concepts of weed ecology, herbicide efficacy and selectivity, and economic thresholds for weed control decisions. Users of WEEDING interactively grow a soybean crop, making management decisions throughout the seaason. The program includes real weather data and a realistic assortment of soybean varieties, soil types, weed species, and weed control options. Production costs and profit are calculated at the end of a simulated season. The structure of a process-level model driven by real weather data simulates the risk involved in management decisions.

Keywords

Soybean, Glycine max (L.) Merr.Simulation modelintegrated weed managementinstructional modelGlycine max

Information

Type
Education
Information
Weed Technology , Volume 5 , Issue 4 , December 1991, pp. 887 - 893
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

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