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On-Farm Comparison of Three Postemergence Weed Management Decision Aids in Michigan

Published online by Cambridge University Press:  20 January 2017

Scott M. Swinton ,
Karen A. Renner  and
James J. Kells
Scott M. Swinton*
Affiliation:
Department of Agricultural Economics, Michigan State University, East Lansing, MI 48824
Karen A. Renner
Affiliation:
Department of Crop and Soil Sciences, Michigan State University, East Lansing, MI 48824
James J. Kells
Affiliation:
Department of Crop and Soil Sciences, Michigan State University, East Lansing, MI 48824
*
Corresponding author's E-mail: [email protected]
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Abstract

Weed management decision aids have proliferated in recent years, but none of them have been rigorously compared with actual farmer weed management on farm fields. This research compares the Michigan WEEDSIM/GWM bioeconomic model and the CORNHERB and SOYHERB herbicide selection models with farmer weed management in Michigan. In 19 site-years of research in corn and soybean during 1996 to 1997, we found that crop yield, weed control costs, and gross margin over weed control costs (profitability) with the computerized decision aids were not statistically superior to the farmer treatments, even at a one-sided threshold of P = 0.10. In corn the gross margin of the farmer treatment ranked highest in both years. In soybean the gross margin of the SOYHERB treatment ranked highest in 1996 and that of the WEEDSIM/GWM treatment was highest in 1997. Overall, the farmer treatment had the highest gross margin 5½ times, the CORNHERB–SOYHERB treatment 6 times, and the WEEDSIM/GWM treatment 7½ times (where ties were divided equally to give 1/2 to each). However, none of these rank differences corresponded to a statistically significant gross margin gain over the farmer treatment.

Keywords

Corn, Zea mays L.soybean, Glycine maxBioeconomic modelingCORNHERBdecision modelintegrated weed managementon-farm trialsparticipatory researchSOYHERBtechnology adoptionweed controlweed management modelWEEDSIM
Type
Commentary
Information
Weed Technology , Volume 16 , Issue 3 , September 2002 , pp. 691 - 698
Copyright
Copyright © Weed Science Society of America 

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