Full TGIF Record # 1488
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Web URL(s):http://www.apsnet.org/publications/phytopathology/backissues/Documents/1983Articles/phyto73n05_767.pdf#page=12
    Last checked: 10/15/2015
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Vargas, J. M. Jr.
Author Affiliation:Department of Botany and Plant Pathology, Michigan State University, East Lansing, Michigan
Title:Forecasting disease development through the use of computer prediction models
Source:Phytopathology. Vol. 73, No. 5, May 1983, p. 778.
Publishing Information:Worcester, Mass.
# of Pages:1
Keywords:TIC Keywords: Chemical safety; Colletotrichum graminicola; Computer modeling; Disease development; Disease forecasting; Dollar spot; Fungicides; Pythium
Abstract/Contents:"Fungicides are the primary means of plant protection in turf. Increased awareness by turfgrass researchers and managers of environmental hazards and fungicide costs has resulted in development of disease forecast models. Forecasting disease development will result in more efficient fungicide application strategies. A prediction model for anthracnose (Colletotrichum graminicola), based on the environmental parameters of average daily temperature and hours of continuous leaf wetness, accurately forecasted anthracnose development with 88% accuracy. Other models have been proposed for dollar spot (Sclerotinia homoeocarpa) and Pythium blight (Pythium spp.). These forecast models are complex, but the widespread addition of computers to the golf course business simplifies their use and allows on-site disease forecasting."
Language:English
References:0
See Also:Other items relating to: COMPU
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Vargas, J. M. Jr. 1983. Forecasting disease development through the use of computer prediction models. Phytopathology. 73(5):p. 778.
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Web URL(s):
http://www.apsnet.org/publications/phytopathology/backissues/Documents/1983Articles/phyto73n05_767.pdf#page=12
    Last checked: 10/15/2015
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: SB 599 .P48
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