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| Web URL(s): | https://d.lib.msu.edu/austm/129?page=34
Last checked: 09/12/2023
Requires: PDF Reader
Notes: Item is within a single large file
http://web.archive.org/web/20080723074908/http://agcsa.com.au/static/atm_articles/html/4_2d.html
Last checked: 03/06/2017 |
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| Publication Type:
| Professional |
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| Author(s): | Rinehart, G. J.;
Baird, J. H.;
Calhoun, R. N.;
Schabbenberger, O. |
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| Author Affiliation: | Rinehart: Washington State University-Puyallup, Puyallup, WA; Baird: United States Golf Association, Easton, PA; Calhoun: Michigan State University, East Lansing, MI; Schabbenberger: Virginia Tech, Blacksburg, VA |
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| Title: | Remote sensing of brown patch and dollar spot on creeping bentgrass and annual bluegrass turf using visible and near-infrared spectroscopy |
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| Section: | Research
Other records with the "Research" Section
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| Source: | Australian Turfgrass Management. Vol. 4, No. 2, April/May 2002, p. 32-34, 36. |
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| Publishing Information: | Glen Waverley, Australia: Australian Golf Course Superintendents Association |
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| # of Pages: | 4 |
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| Keywords: | TIC Keywords: Agrostis stolonifera; Canopy reflectance; Disease severity; Dollar spot; Poa annua; Remote sensing; Rhizoctonia blight; Rhizoctonia solani; Sclerotinia homoeocarpa; Spectroscopy
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| Abstract/Contents: | "Brown patch (Rhizoctonia solani Kuehn) and dollar spot (Sclerotinia homoeocarpa Bennett) diseases are common to cool season turfgrass, especially on golf courses. As governmental and public scrutiny of golf course maintenance practices increases, superintendents must balance playability with fewer fungicide inputs. The objective of this study was to determine if an association exists between canopy reflectance using visible and near infrared spectroscopy and brown patch and dollar spot severity on creeping bentgrass (Agrostis stolonifera L.) and annual bluegrass (Poa annua var. reptans Hausskn) turf. Spectral reflectance from the turf canopy was acquired with a NIRSystems (Silver Spring, MD) Model 6500 Online scanning monochromator. Spectral data weree [were] obtained every 2nm from 400 to 2100 nm and expressed in microabsorbance units as the log (1/reflectance). Categorical disease symptom severity ratings of brown patch and dollar spot were taken in association with reflectance measurements. Discriminant analysis of the data yielded classification accuracy. In the dollar spot study, 20 out of 193 samples (10.3%) were classified incorrectly and, in the brown patch study, only 29 out of a total of 337 samples (8.6%) were classified incorrectly. First derivative spectra indicated that the greatest spectral differences between categories existed at 700, 1400, and 1930nm. These wavelengths correspond to the visible red, the O-H functional group, and the N-H functional group regions of absorption, respectively. These results suggest the possibility of developing a visible/near-infrared sensor for the detection of disease severity as part of a site specific turfgrass management program. Future research should address investigation of how various stresses interact to affect the spectral reflectance of turfgrass." |
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| Language: | English |
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| References: | 12 |
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| Note: | Pictures, color
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Rinehart, G. J., J. H. Baird, R. N. Calhoun, and O. Schabbenberger. 2002. Remote sensing of brown patch and dollar spot on creeping bentgrass and annual bluegrass turf using visible and near-infrared spectroscopy. Aust. Turfgrass Manage. 4(2):p. 32-34, 36. |
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| Web URL(s):
https://d.lib.msu.edu/austm/129?page=34
Last checked: 09/12/2023
Requires: PDF Reader
Notes: Item is within a single large file
http://web.archive.org/web/20080723074908/http://agcsa.com.au/static/atm_articles/html/4_2d.html
Last checked: 03/06/2017 |
| 
MSU catalog number: SB 433 .A1 A85 |
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