Full TGIF Record # 75786
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Green, J. D.; Witt, William W.; Martin, James R.; Marshall, Michael
Author Affiliation:Green: Extension Professor; Witt: Professor; Martin: Extension Professor; and Marshall: Research Specialist, Department of Agronomy, University of Kentucky, Lexington, KY
Title:Weedmak-A computerized decision aid for herbicide selection in water quality sensitive areas of Kentucky
Section:Extension
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Meeting Info.:Columbus, OH: December 14-16, 1999
Source:Proceedings of the North Central Weed Science Society. Vol. 55, December 2000, p. 28-29.
# of Pages:2
Publishing Information:Champaign, IL: North Central Weed Science Society
Keywords:TIC Keywords: Decision-making; Water quality; Weed control; Adsorption; Software; Soil types; Soil texture; Soil pH; Organic matter; Tillage; Leaching
Abstract/Contents:"The options for weed control in field crops vary from herbicides with a high potential to impact water quality in sensitive areas to those that are not likely to cause an impact. Herbicides most likely to contaminate waters have the following properties: low adsorptivity to soil clays and organic matter in conjunction with relatively high water solubility, persist for several weeks or months, and are used widely on a significant acreage. Therefore, alternative weed management choices should be used in water quality sensitive areas to minimize the potential for ground and surface water contamination. The purpose of this project was to develop a computerized selection tool for making environmentally sound weed management decisions. This decision aid was designed to integrate environmental impact parameters with herbicide efficacy and treatment costs so that crop producers can make more informed management decisions. The computer program outputs are dependent on site-specific characteristics and crop production parameters supplied by the user. These inputs include the crop growth stage and row spacing, soil type (soil series name), soil texture, soil pH, organic matter, tillage system (no-till, minimum, or conventional), and previous crop grown (i.e. used to estimate percent residue on the soil surfafce). These parameters are required to calculate and provide a general rating of the herbicide leaching and surace run-off potentials of each treatment. Entry of weed species present, relative weed size, and crop growth stage are used to create a list of weed control options that could be used based on these specific site characteristics. The output treatments are ranked first by an overall rating index for their effectiveness on the weed species that are included. A program feature allows the user to sort and rank these treatments by their herbicide leaching potentials (HLP), herbicide runoff potentials (HRP), and by estimated treatment costs. After a review of the treatment list, the program then allows further evaluation of an individual treatment. This second output screen lists the individual components within the treatment selected. Based on the input information, this output screen includes the specific herbicide rate recommendation, the cost per unit for each herbicide, and the HLP and HRP rating for each herbicide included in a treatment. The final output screen allows for selection on a specific herbicide which will then list the active ingredient(s), the HLP and HRP rating for each active ingredient, and other detailed information about each herbicide. The HLP and HRP ratings for each product and treatment are based on the herbicide active ingredients with the highest potential to contaminate surface or ground water. This decision aid provides a tool for making site-specific weed management decisions based on efficacy, economics, and potential environmental impact. Such a method does not exist in any form because of the complexity of integrating all the data. Furthermore, this decision aid is in a format that should be readily adopted by integrated pest management practitioners because of the specific output information that the program delivers."
Language:English
References:0
Note:This item is an abstract only!
Geographic Terms:Kentucky
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Green, J. D., W. W. Witt, J. R. Martin, and M. Marshall. 2000. Weedmak-A computerized decision aid for herbicide selection in water quality sensitive areas of Kentucky. Proc. North Cent. Weed Sci. Soc. 55:p. 28-29.
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