Full TGIF Record # 216470
Item 1 of 1
Web URL(s):http://archive.lib.msu.edu/tic/rpr/2000/72123,%20NC%20State, Bailey.PDF
    Last checked: 03/15/2013
    Requires: PDF Reader
Publication Type:
i
Report
Material Type:Manuscript
Monographic Author(s):Bailey, Jack; Latta, Jason
Author Affiliation:Department of Plant Pathology, North Carolina State University
Monograph Title:A Disease Management Program to Reduce Pesticide on Bentgrass Greens: [2000 Annual] Report to the United States Golf Association, 2000.
Publishing Information:[Raleigh, North Carolina]: North Carolina State University, Department of Plant Pathology
# of Pages:9
Collation:[9] pp.
Abstract/Contents:"Weather-based advisory models, which key fungicide application during periods of favorable conditions, have not been widely used on golf courses due to the lack of evidence that they are accurate. Turf managers often rely upon calendar-based spray schedules. An ideal fungicide application program would consider all environmental factors associated with disease activity, and treatments would be made only when conditions were most favorable for disease outbreak. Therefore, determining specific environmental conditions most critical for disease outbreak, and improving cultural practices and environmental conditions prior to these outbreaks, could aid in reducing the number of chemical applications. The use of electric fans among turf managers has grown rapidly for use around 'pocket greens' which has been observed to increase turf quality. The objectives of this study were to: a) determine how wind velocities affect the turf microclimate, turf quality, and brown patch incidence, and, b) verify the relationship between weather-based advisories and disease progress. In our studies, brown patch was dramatically reduced in the areas of greatest wind velocity. Where the fans were left on and irrigation was inadequate, dollar spot was more sever. Soil moisture, algae, leaf wetness, and canopy temperatures were all less in the area of greatest wind velocity. Turf quality was highest in the same area. A regression equation was generated to define the relationship between wind velocity and brown patch (disease incidence = 0.816608 - 0.314186 * wind velocity (m/s)). This equation describes the effect wind has on decreasing the incidence of brown patch. A weather-based model (Fidanza model) was modified with this equation to determine if this will correct some of the problems it has in predicting disease. In the 2000 growing season "wind modified" Fidanza model was correlated to disease incidence. If was concluded that fans, appropriately placed on the putting surface, are an effective means of reducing disease incidence that the original version when wind speeds were relatively high and constant (i.e. in front of the fans). Data from the 2000 field experiments are currently being analyzed to determine if the wind modified model improves the correlation with diseases in ambient winds. Electrons microscopy studies currently underway are revealing the mechanisms by which the wind has its effects."
Language:English
References:0
See Also:See also related summary article, "Disease management program to reduce pesticide use on bentgrass greens", 2000 Turfgrass and Environmental Research Summary [USGA], 2000, p. 21, R=72123. R=72123
Note:"Report to the United States Golf Association"
"October 31, 2000"
Also appears as pp. 664-673 in the USGA Turfgrass Research Committee Reporting Binders for 2000.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
No defined citation format for TGIF #: 216470
Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=216470
If there are problems with this record, send us feedback about record 216470.
Choices for finding the above item:
Web URL(s):
http://archive.lib.msu.edu/tic/rpr/2000/72123,%20NC%20State, Bailey.PDF
    Last checked: 03/15/2013
    Requires: PDF Reader
Find from within TIC:
   Digitally in TIC by record number.
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)