Submitted to: Advances in Soil Science
Publication Type: Review Article
Publication Acceptance Date: 12/31/1996
Publication Date: N/A
Citation: N/A Interpretive Summary: This is a "Review Article", no Interpretive Summary Required.
Technical Abstract: Computer models to help decision makers choose appropriate weed management strategies are relatively new. Modeling of weed biology and the economic impact of control decisions within models must be refined and a number of parameters need to be researched by weed scientists and economists. Currently, the development of realistic weed management models is hindered by gaps in information about weed biology, particularly our knowledge concerning emergence, competition, seed production, mortality, and composition of weed populations. Other weaknesses of the models and our ability to use them that need to be dealt with are estimating weed-free crop yields, characterizing weed spatial variability, and maintaining and expanding our databases on weed control efficacy of herbicide-susceptible and resistant weed species.