| |
| Web URL(s): | 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 |
|---|
| Publication Type:
| 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
Other records with the "Integrated turfgrass management" Section
Pathology
Other records with the "Pathology" Section
|
|---|
| Source: | Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 254-262. |
|---|
| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
|---|
| # of Pages: | 9 |
|---|
| 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 |
|---|
| Note: | Map
Pictures, color
Tables
Graphs |
|---|
| 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. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=305010 |
| If there are problems with this record, send us feedback about record 305010. |
| Choices for finding the above item: |
|---|
| Web URL(s):
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 |
| 
MSU catalog number: b3609415 |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
