Full TGIF Record # 209815
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DOI:10.1094/PHYTO-102-7-S4.1
Web URL(s):http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-102-7-S4.1#page=111
    Last checked: 08/10/2012
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Smith, D. L.; Kerns, J.; Kaminski, J. E.; Horvath, B. J.; Tomaso-Peterson, M.
Author Affiliation:Smith: Oklahoma State University, Stillwater, OK; Kerns: University of Wisconsin, Madison, WI; Kaminski: The Pennsylvania State University University Park, PA; Horvath: University of Tennessee, Knoxville, TN; Tomaso-Peterson: Mississippi State University, Mississippi State, MS
Title:Multisite validation of a weather-based fungicide application advisor for the control of dollar spot of creeping bentgrass
Meeting Info.:Providence, Rhode Island: August 4-8, 2012
Source:Phytopathology. Vol. 102, No. 7S, July 2012, p. S4.111.
Publishing Information:St. Paul, Minnesota: American Phytopathological Society
# of Pages:1
Keywords:TIC Keywords: Agrostis stolonifera; Application methods; Application timing; Chemical applicators; Disease control; Dollar spot; Economic impacts; Fungicide application; Fungicide efficacy; Fungicide recommendations; Meteorological factors; Sclerotinia homoeocarpa; Weather monitoring
Abstract/Contents:"Dollar spot (caused by Sclerotinia homoeocarpa) is the most economically important turfgrass disease in North America. In the U.S., golf courses can spend 60-75% of their pesticide budget on dollar spot management. An improved fungicide application advisor would increase the accuracy of fungicide applications and potentially reduce input costs. Two newly developed prediction models were used in electronic advisories to control dollar spot of creeping bentgrass (Agrostis stolonifera) putting greens. Fungicides were applied in replicated trials at five locations according to a calendar program, or using advisory programs based on air temperature and relative humidity (AT+RH) or relative humidity (RH) alone. ZedX, Inc. supplied site-specific weather data (interpolated weather) and daily fungicide recommendations for both advisories. The AT+RH model provided control of dollar spot comparable (P>0.05) to the calendar program while providing an average reduction of one fungicide application per season. The RH model averaged a four-spray reduction versus the calendar program with significantly (P<0.05) improved control over not treating, but had a significantly (P<0.05) higher level of disease compared to the calendar program in two locations. The AT+RH advisory tended to over predict fungicide applications vs. the RH advisory, which tended to under predict fungicide application. Validation will continue in the 2012 season."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Smith, D. L., J. Kerns, J. E. Kaminski, B. J. Horvath, and M. Tomaso-Peterson. 2012. Multisite validation of a weather-based fungicide application advisor for the control of dollar spot of creeping bentgrass. Phytopathology. 102(7S):p. S4.111.
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DOI: 10.1094/PHYTO-102-7-S4.1
Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-102-7-S4.1#page=111
    Last checked: 08/10/2012
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b2219736a
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