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| Web URL(s): | https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=38
Last checked: 06/19/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
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| Publication Type:
| Report |
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| Author(s): | Hempfling, James W.;
Murphy, James A.;
Clarke, Bruce B. |
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| Author Affiliation: | Department of Plant Biology, Rutgers University |
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| Title: | Dollar spot disease forecasting on bentgrass fairway turf in New Jersey |
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| Section: | Poster presentations
Other records with the "Poster presentations" Section
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| Meeting Info.: | New Brunswick, New Jersey: January 12, 2018 |
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| Source: | Proceedings of the Twenty-Seventh Annual Rutgers Turfgrass Symposium. 2018, p. 37. |
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| Publishing Information: | New Brunswick, New Jersey: The Center for Turfgrass Science, Rutgers, The State University of New Jersey |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Agrostis; Cultivar evaluation; Dollar spot; Sclerotinia homoeocarpa; Susceptibility
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| Geographic Terms: | North Brunswick, New Jersey |
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| Abstract/Contents: | "The species and cultivar of bentgrass (Agrostis spp.) influences the incidence and severity of dollar spot disease (caused by Sclerotinia homoeocarpa F.T. Bennett) epidemics. A field trial was initiated in North Brunswick, NJ to assess the reliability of two weather-based models for predicting dollar spot epidemics on bentgrasses with a wide-range in susceptibility. 'Independence', 'Penncross', 'Shark', '007', and 'Declaration' creeping bentgrass (A. stolonifera L.), and 'Capri' colonial bentgrass (A. capillaris L.) were seeded in a randomized complete block design with 25 blocks on 29 Sept. 2014. The trial area was inoculated with S. homoeocarpa isolates NJDS003 and NJDS007 on 7 Apr. 2015; epidemics occurred naturally during 2016 and 2017. The onset of disease symptoms was compared to forecasts from a growing degree-day (GDD, base 15°C and biofix 1 April) and a logistic regression model. Subsequent disease progress (incidence) was assessed every 2- to 18-d for each cultivar and was compared to disease forecasts from the logistic model. Unintended dollar spot suppression from fludioxonil applications made to control anthracnose disease precluded the assessment of disease progress during mid- to late-2016. Disease symptoms first appeared in highly susceptible cultivars at 73-, 27-, and 92-GDD during 2015, 2016, and 2017, respectively; whereas, symptoms appeared at 79-, 140-, and 112-GDD for moderate and low susceptibility cultivars. The logistic regression model forecasted a risk index of 20% for dollar spot at 7-, 7-, and 21-d before disease symptoms appeared in highly susceptible cultivars during 2015, 2016, and 2017, respectively; whereas, a 20% risk index occurred at 11-, 29- and 28-d before disease onset on tolerant cultivars. Subsequent outbreaks were accurately forecasted in susceptible cultivars using the logistic regression model throughout 2015, early-2016, and 2017. Disease progress in moderate and low susceptibility cultivars appeared to coincide with a model risk index greater than 20%. Interestingly, disease recovery occurred during periods when the risk index was sharply declining, albeit greater than 20%." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hempfling, J. W., J. A. Murphy, and B. B. Clarke. 2018. Dollar spot disease forecasting on bentgrass fairway turf in New Jersey. Proc. Rutgers Turfgrass Symp. p. 37. |
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| Web URL(s):
https://turf.rutgers.edu/research/abstracts/symposium2018.pdf#page=38
Last checked: 06/19/2018
Requires: PDF Reader
Notes: Item is within a single large file; Abstract only |
| 
MSU catalog number: b3696858 |
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Digitally in TIC by file name: rutsy2018 |
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