Field evaluation of a bioeconomic model for weed management in corn (Zea mays)

Douglas D. Buhler, Robert P. King, Scott M. Swinton, Jeffery L. Gunsolus, Frank Forcella

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


A bioeconomic weed management model was tested as a decision aid for weed control in corn at Rosemount, MN, from 1991 to 1994. The model makes recommendations for preemergence control tactics based on the weed seed content of the soil and postemergence decisions based on weed seedling densities. Weed control, corn yield, herbicide active ingredient applied, and economic return with model-generated treatments were compared to standard herbicide and mechanical control treatments. Effects of these treatments on weed populations and soybean yield the following year were also determined. In most cases, the model-generated treatments controlled weeds as well as the standard herbicide treatment. The quantity of herbicide active ingredient applied decreased 27% with the seed bank model and 68% with the seedling model relative to the standard herbicide treatment. However, the frequency of herbicide application was not reduced. In 1 yr, seed bank model treatments did not control weeds as well as the standard herbicide or seedling model treatments. Corn yields reflected differences in weed control. Net economic return to weed control was not increased by using model-generated control recommendations. Weed control treatments the previous year affected weed density in the following soybean crop. In 2 of 3 yr, these differences did not alter weed control or soybean yield. Although tactics differed, the bioeconomic model generally resulted in weed control and corn yield similar to the standard herbicide. The model was responsive to differing weed populations, but did not greatly alter economic returns under the weed species and densities in this research.

Original languageEnglish (US)
Pages (from-to)915-923
Number of pages9
JournalWeed Science
Issue number4
StatePublished - Oct 1 1996


  • Expert systems
  • integrated weed management
  • weed control
  • weed population dynamics

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