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Validation of Four Bioeconomic Weed Management Models for Sugarbeet (Beta vulgaris) Production

Published online by Cambridge University Press:  12 June 2017

John M. Shribbs ,
Edward E. Schweizer ,
Lauren Hergert  and
Donald W. Lybecker
John M. Shribbs
Affiliation:
ICI Americas Inc., P.O. Box 760, Mt. View, CA 94042
Edward E. Schweizer
Affiliation:
Agric. Res. Serv., U.S. Dep. Agric., Crops Res. Lab., 1701 Center Ave., Fort Collins, CO 80526
Lauren Hergert
Affiliation:
Western Sugar Co., P.O. Box 643, Alliance, NB 69301
Donald W. Lybecker
Affiliation:
Dep. Agric. and Res. Econ., Colorado State Univ., Fort Collins, CO 80523
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Abstract

The performance of four sequential weed management models that assumed either low or high risk was compared to the performance of two sugarbeet consultants, one who assumed low risk and the other high risk. Weed management recommendations were performed over one growing season at two locations, each with several levels of weed populations. Recommendations for preplant, postemergence, and layby herbicide treatments or late-season handweeding differed among the four weed management levels. The high-risk management level was labor intensive and the low-risk management level was herbicide intensive. Weed populations at harvest, recoverable sucrose, and net return above weed control costs were not different among the four weed management levels. Weeds can be controlled in sugarbeets by employing weed management practices based on bioeconomic modeling.

Keywords

SugarbeetBeta vulgaris L. ‘Monohikari’Economicsherbicidesweed controlweed thresholds
Type
Special Topics
Information
Weed Science , Volume 38 , Issue 4-5 , September 1990 , pp. 445 - 451
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

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