Full TGIF Record # 305010
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=262
    Last checked: 05/02/2019
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Publication Type:
i
Report
Author(s):Murphy, James A.; Hempfling, James; Clarke, Bruce B.
Author Affiliation:Department of Plant Biology, Rutgers University
Title:Bentgrass tolerance, disease predictive models and fungicide timing to control dollar spot on fairway turf
Section:Integrated turfgrass management
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Pathology
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Source:Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 254-262.
# of Pages:9
Publishing Information:[New York, New York]: The United States Golf Association Green Section
Keywords:TIC Keywords: Agrostis; Application timing; Disease control; Disease forecasting; Disease susceptibility; Dollar spot; Fungicide application
Language:English
References:0
See Also:Other Reports from this USGA research project: 2016-21-571
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USGA Summary Points:Interpretation of the logistic model relative to disease progress is ongoing. However, there are preliminary observations to report: Dollar spot forecasting with a logistic regression model had good accuracy during the middle of the growing for highly susceptible cultivars during 2015, 2016, and 2017.; Disease forecasting on low susceptibility cultivars may also be possible using the logistic regression model; however, a greater risk index and/or an assessment of the change of the risk index over time (slope) may be needed to improve model accuracy.; Disease recovery was observed during periods of decreasing risk index, albeit greater than 20%, further suggesting that a change in risk index over time (slope) may be a predictor of disease progress. Threshold-based applications reduced total fungicide inputs and the level of disease control, which ranged from moderate to excellent depending on the cultivar. Total fungicide input also varied with cultivar and, to a lesser extent, the initial fungicide timing factor.: Threshold-based fungicide applications on Declaration (low susceptibility) creeping bentgrass produced excellent disease control and required only one to five fungicide applications depending on the year and initial fungicide timing.; In contrast, threshold-based fungicide applications on Independence (highly susceptible) creeping bentgrass produced moderate disease control and required four to nine applications depending on the year and initial fungicide timing.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Murphy, J. A., J. Hempfling, and B. B. Clarke. 2018. Bentgrass tolerance, disease predictive models and fungicide timing to control dollar spot on fairway turf. USGA Turfgrass Environ. Res. Summ. p. 254-262.
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http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=262
    Last checked: 05/02/2019
    Requires: PDF Reader
    Notes: Item is within a single large file
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