Full TGIF Record # 195528
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2011/8.pdf
    Last checked: 01/23/2017
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Publication Type:
i
Report
Author(s):Smith, Damon L.
Author Affiliation:Oklahoma State University
Title:Validation of a logistic regression model for prediction of dollar spot of amenity turfgrasses
Section:Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
Source:2011 USGA Turfgrass and Environmental Research Summary. 2011, p. 8.
# of Pages:1
Publishing Information:Far Hills, NJ: United States Golf Association
Keywords:TIC Keywords: Agrostis stolonifera; Air temperature; Disease development; Dollar spot; Fungicide application; Golf greens; Models; Relative humidity; Sclerotinia homoeocarpa; Statistics
Language:English
References:0
Note:Published as a part of USGA Turfgrass and Environmental Research Online, December 1 2011, Vol. 10, No. 23
Graphs
USGA Summary Points:The AT + RH model provided control of dollar spot, which was comparable to the calendar-based treatments while providing an average reduction of one-fungicide application. The RH only model averaged a fourspray reduction versus the calendar based applications with improved control over not-treating for dollar spot; however, it consistently under-predicted dollar spot epidemics, which resulted in high levels of disease compared to the calendar-based treatment in two locations. The AT + RH model tended to overpredict fungicide applications by one spray vs. the RH only model which tended to under-predict fungicide application by at least two sprays. To improve the accuracy of the models, 2012 research will focus on tailoring action thresholds and also specific models to each "zone" of the U.S. where the models are tested.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Smith, D. L. 2011. Validation of a logistic regression model for prediction of dollar spot of amenity turfgrasses. USGA Turfgrass Environ. Res. Summ. p. 8.
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http://archive.lib.msu.edu/tic/ressum/2011/8.pdf
    Last checked: 01/23/2017
    Requires: PDF Reader
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