Full TGIF Record # 8286
Item 1 of 1
Publication Type:
i
Report
Author(s):Hartman, John; Carnes, J.; Kester, Sharon
Title:Evaluation of a pythium blight disease predictor-1985
Source:Kentucky Turfgrass Research. 1985, p. 42-44.
Publishing Information:Lexington, KY: University of Kentucky, College of Agriculture, Cooperative Extension Service
Keywords:TIC Keywords: Disease forecasting; Computer modeling; Pythium; Golf courses; Temperatures; Computers; Agrostis stolonifera
Geographic Terms:Kentucky
Abstract/Contents:1985 study to monitor golf course turf with an experimental microprocessor designed to monitor environmental conditions and predict Pythium blight occurrence. A General Electric Reuter-Stokes model RS-412 Disease Predictor was placed near the edge of the 14th green of the Hunting Creek Golf Course, Prospect, Ky. This location was chosen because of a history of Pythium blight at this site. Weather and disease prediction data were stored in the microprocessor for periods of up to 14 days and recorded on a portable printer periodically connected to the unit. Occurrence of Pythium blight was noted daily from Jul 16 - Sep 11 by the golf course superintendent. Fungicides were not applied to areas where the disease was being monitored. The RS Disease Predictor very ably performed the daily functions of collecting and storing daily high and low temperatures and relative humidities, leaf wetness periods, rainfall amounts, and disease predictions. The leaf wetness sensor, not needed for Pythium blight predictions, probably did not function accurately because of build up of salts on the sensor's metal coils. Two disease prediction programs were used and in most instances predicted occurrence or non-occurrence of Pythium blight at the same times. Using 3 consecutive days of predicted pythium blight as the standard, the Predictor detected 4 outbreaks of the disease. Weather conditions apparently favored outbreaks July 12-14, July 29-31, August 12-15, and September 3-8. Except for the first predicted occurrence, the superintendent did observe the disease each of the other three times, and did not observe the disease on days the Predictor indicated none should be present. Daily predictive data for July, August, and September are provided in a table.
Language:English
References:0
Note:Tables
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hartman, J., J. Carnes, and S. Kester. 1985. Evaluation of a pythium blight disease predictor-1985. KY. Turfgrass Res. p. 42-44.
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