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Web URL(s): | http://archive.lib.msu.edu/tic/ressum/2017/255.pdf Last checked: 05/25/2018 Requires: PDF Reader |
Publication Type:
| 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
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Source: | Turfgrass and Environmental Research Program: 2017 Research Summaries. 2017, p. 255-259. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 5 |
Keywords: | TIC Keywords: Agrostis stolonifera; Application timing; Cultivar evaluation; Disease control; Disease forecasting; Dollar spot; Fungicide injury; Golf fairway maintenance
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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, 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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| Web URL(s): http://archive.lib.msu.edu/tic/ressum/2017/255.pdf Last checked: 05/25/2018 Requires: PDF Reader |
| MSU catalog number: b3609415 |
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