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Web URL(s): | https://archive.lib.msu.edu/tic/its/articles/2009jou137.pdf Last checked: 10/18/2011 Requires: PDF Reader |
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Publication Type:
| Refereed |
Author(s): | Anderson, Zachary R.;
Fermanian, Thomas W. |
Author Affiliation: | Anderson: First Assistant Golf Course Superintendent, Normandy Shores Golf Course, Miami Beach, Florida; Fermanian: Associate Professor Emeritus, University of Illinois at Urbana-Champaign, Urbana, Illinois |
Title: | Early detection of pythium blight and brown patch through multispectral imaging of creeping bentgrass foliage |
Section: | Diseases (plant pathology) Other records with the "Diseases (plant pathology)" Section
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Meeting Info.: | Santiago, Chile: July 26-30 2009 |
Source: | International Turfgrass Society Research Journal. Vol. 11, No. Part 1, 2009, p. 137-149. |
Publishing Information: | Madison, WI: International Turfgrass Society |
# of Pages: | 13 |
Keywords: | TIC Keywords: Pythium diseases; Rhizoctonia blight; Multispectral analysis; Agrostis stolonifera; Disease forecasting
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Abstract/Contents: | "Early detection, and eventually prevention of disease is vital to the success of a turfgrass stand. The turfgrass industry lacks accurate, reliable, and practical methods to detect the onset of symptoms of certain diseases in highly managed creeping bentgrass {Agrostis palustris Huds. [= A. stolonifera var. palustris (Huds.) Farw.]} turf. Direct sensing, where reflected light is measured from a turfgrass canopy, is capable of detecting and locating turfgrass diseases, with promise of detecting these areas prior to visual damage. Four controlled environment disease assays were conducted at the University of Illinois Urbana-Champaign, USA to evaluate the direct sensing of Pythium blight caused by (Pythium aphanidermatum (Edson) Fitzpatrick) and Brown patch caused by (Rhizoctonia solani Kuhn) on creeping bentgrass. Two imaging sensors were mounted on top of a Plexiglas container 38 cm above and nadir to the treated bentgrass. Pythium blight was first sensed 1.5 to 1.6 h before it was visuably perceptible and brown patch was detected 2.5 to 25 h before visible symptoms or signs. Additional research is needed to develop this technology into a reliable, practical and cost effective tool for predicting future disease problems over large areas of turf, such as golf courses." |
Language: | English |
References: | 28 |
Note: | Tables |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Anderson, Z. R., and T. W. Fermanian. 2009. Early detection of pythium blight and brown patch through multispectral imaging of creeping bentgrass foliage. Int. Turfgrass Soc. Res. J. 11(Part 1):p. 137-149. |
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| Web URL(s): https://archive.lib.msu.edu/tic/its/articles/2009jou137.pdf Last checked: 10/18/2011 Requires: PDF Reader |
| MSU catalog number: b2548899 |
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