Author
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HARTZLER, ROBERT - IOWA STATE UNIVERSITY |
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Buhler, Douglas - Doug |
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Submitted to: Leopold Center for Sustainable Agriculture Conference Proceedings
Publication Type: Abstract Only Publication Acceptance Date: 8/20/1997 Publication Date: N/A Citation: N/A Interpretive Summary: Technical Abstract: Weed seed bank dynamics regulate communities of many of our most important weed species. A better understanding of the seed bank is critical for the development of more efficient weed management systems. Two primary objectives of this project are to define emergence patterns of major weed species and to develop user-friendly weed emergence prediction tools. Current studies have characterized emergence patterns for four important weed species, and efforts have been expanded to include over 25 important species. Two approaches are being investigated: growing degree day (GDD) models and bioindicators. Entomologists have been successful at developing GDD models for predicting phenology of several insects. Although similar models have been developed for weeds, none of the systems are adapted for use by farmers or consultants. The second method we are investigating is the use of bioindicators to predict weed emergence. The concept is to determine correlations between the foliar or floral development of other plants in the landscape with weed emergence. Knowledge of the timing of emergence of different weed species and the influence of cultural practices on emergence can be useful in developing integrated weed management systems. Weed biology research will not eliminate the inputs currently used to manage weeds. However, the knowledge gained will likely provide the foundation for the development of more reliable weed management systems that are cost-effective and pose less threat to the environment. |
