Full TGIF Record # 298196
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2017/255.pdf
    Last checked: 05/25/2018
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Publication Type:
i
Report
Author(s):Murphy, James A.; Hempfling, James; Clarke, Bruce B.
Author Affiliation:Dept. of Plant Biology and Pathology, Rutgers University
Title:Bentgrass tolerance, disease predictive models and fungicide timing to control dollar spot on fairway turf
Section:ITM: Pathology
Other records with the "ITM: Pathology" Section
Source:Turfgrass and Environmental Research Program: 2017 Research Summaries. 2017, p. 255-259.
# of Pages:5
Publishing Information:[New York, New York]: The United States Golf Association Green Section
Keywords:TIC Keywords: Agrostis stolonifera; Application timing; Cultivar evaluation; Disease control; Disease forecasting; Dollar spot; Fungicide injury; Golf fairway maintenance
Language:English
References:0
See Also:Other Reports from this USGA research project: 2016-21-571
Note:Pictures, color
Tables
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USGA Summary Points:Dollar spot forecasting by a logistic regression model had good accuracy for highly susceptible cultivars during 2015, early-2016, and 2017. Moderate to excellent, season-long disease control was achieved when subsequent fungicide timing was based on a threshold program, but total fungicide inputs and the level of disease control depended on the cultivar and, to a lesser extent, the initial fungicide timing. Fungicide applications on Declaration creeping bentgrass that were threshold-based produced excellent disease control and resulted in only three and four to five fungicide applications during 2015 and 2017, respectively, depending on the initial fungicide timing. In contrast, threshold-based fungicide applications on Independence creeping bentgrass produced moderate disease control and resulted in a total of six or seven applications during 2015 and six to nine applications during 2017, depending on the initial fungicide timing.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Murphy, J. A., J. Hempfling, and B. B. Clarke. 2017. Bentgrass tolerance, disease predictive models and fungicide timing to control dollar spot on fairway turf. USGA Turfgrass Environ. Res. Summ. p. 255-259.
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http://archive.lib.msu.edu/tic/ressum/2017/255.pdf
    Last checked: 05/25/2018
    Requires: PDF Reader
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