Web URL(s): http://archive.lib.msu.edu/tic/ressum/2016/198.pdf Last checked: 06/02/2017 Requires: PDF Reader
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: Integrated turfgrass management: PathologyOther records with the "Integrated turfgrass management: Pathology" Section
Source: Turfgrass and Environmental Research Program: 2016 Research Summaries . 2016, p. 198-203.
# of Pages: 6
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 resistance ; Dollar spot ; Fungicide application ; Golf fairways
Cultivar Names: Declaration ; Independence
Language: English
References: 0
See Also: Other Reports from this USGA research project: 2016-21-571
Note: Pictures, color Tables Graphs
USGA Summary Points: Dollar spot forecasting by a logistic regression model had good accuracy for highly susceptible cultivars during 2015, but over-predicted during 2016. Good 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 one fungicide applications during 2015 and 2016, respectively, regardless of the initial fungicide application date. In contrast, threshold-based fungicide applications on 'Independence' creeping bentgrass resulted in a total of six or seven applications during 2015 and four or five applications during 2016, 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. 2016. Bentgrass tolerance, disease predictive models and fungicide timing to control dollar spot on fairway turf. USGA Turfgrass Environ. Res. Summ. p. 198-203.
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Web URL(s): http://archive.lib.msu.edu/tic/ressum/2016/198.pdf Last checked: 06/02/2017 Requires: PDF Reader
MSU catalog number: b3609415
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