Full TGIF Record # 112934
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DOI:10.2135/cropsci2005.10.0370
Web URL(s):https://dl.sciencesocieties.org/publications/cs/articles/46/4/1564
    Last checked: 11/16/2016
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https://dl.sciencesocieties.org/publications/cs/pdfs/46/4/1564
    Last checked: 11/16/2016
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    Access conditions: Item is within a limited-access website
Publication Type:
i
Refereed
Author(s):Hutto, K. C.; King, R. L.; Byrd, J. D.; Shaw, D. R.
Author Affiliation:Hutto, Byrd, Shaw: Department of Plant and Soil Sciences; Mississippi; King: Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, Mississippi
Title:Implementation of hyperspectral radiometry in irrigation management of creeping bentgrass putting greens
Section:Crop ecology, management, & quality
Other records with the "Crop ecology, management, & quality" Section
Source:Crop Science. Vol. 46, No. 4, July/August 2006, p. 1564-1569.
Publishing Information:Madison, WI: Crop Science Society of America
# of Pages:6
Related Web URL:https://dl.sciencesocieties.org/publications/cs/abstracts/46/4/1564
    Last checked: 11/16/2016
    Notes: Abstract only
Keywords:TIC Keywords: Agrostis stolonifera; Drought stress; Soil water content; Localized dry spots; Hyperspectral radiometry; Golf greens
Abstract/Contents:"Field research conducted in 2003 and 2004 evaluated hyperspectral radiometry as a tool to detect localized dry spots on creeping bentgrass (Agrostis stolonifera L.) putting greens. Discriminant analysis identified 14 wavebands between 861 and 887 nm that distinguished drought severity. An overall accuracy of 85% was achieved using these wavebands with low-stressed greens correctly classified 91%. High-stressed greens were correctly classified 100% of the time with individual wavebands between 905 and 992 nm using 2003 data as a training model to cross-validate 2004 data. These results suggest these individual wavebands are highly sensitive to early season drought-stress in creeping bentgrass greens and could be considered a more stable portion of the spectrum over time concerning high-stressed creeping bentgrass putting greens. A significant relationship (p = 0.034) was established between average reflectance values of wavebands between 1480 and 1530 nm and volumetric soil water content (VWC). Although not highly correlated, this relationship demonstrated that as VWC increased, reflectance decreased. Data collected in late spring/early summer may be the optimal time to detect areas of putting greens most susceptible to drought stress before unfavorable growth conditions occur."
Language:English
References:44
See Also:Other items relating to: Disasters - Drought
Note:Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hutto, K. C., R. L. King, J. D. Byrd, and D. R. Shaw. 2006. Implementation of hyperspectral radiometry in irrigation management of creeping bentgrass putting greens. Crop Sci. 46(4):p. 1564-1569.
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DOI: 10.2135/cropsci2005.10.0370
Web URL(s):
https://dl.sciencesocieties.org/publications/cs/articles/46/4/1564
    Last checked: 11/16/2016
    Access conditions: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/cs/pdfs/46/4/1564
    Last checked: 11/16/2016
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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MSU catalog number: SB 183 .C7
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