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Web URL(s): | https://archive.lib.msu.edu/tic/its/articles/2009jou987.pdf Last checked: 10/18/2011 Requires: PDF Reader |
Access Restriction: | Certain MSU-hosted archive URLs may be restricted to legacy database members. |
Publication Type:
| Refereed |
Author(s): | Fang, Wenjuan;
Li, Deying;
Han, Lei;
Sun, Zhen-yuan |
Author Affiliation: | Fang: Beijing Forestry University, Beijing, China; Li: Department of Plant Sciences, North Dakota State University, Fargo, North Dakota; Han and Sun: Flowers Research and Development Centre, Chinese Academy of Forestry, Beijing, China |
Title: | Turfgrass tissue analysis using fourier transform infrared reflectance spectroscopy |
Section: | Soil biology, chemistry and plant nutrition Other records with the "Soil biology, chemistry and plant nutrition" Section
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Meeting Info.: | Santiago, Chile: July 26-30 2009 |
Source: | International Turfgrass Society Research Journal. Vol. 11, No. Part 2, 2009, p. 987-1000. |
Publishing Information: | Madison, WI: International Turfgrass Society |
# of Pages: | 14 |
Keywords: | TIC Keywords: Agrostis stolonifera; Fourier transform infrared spectroscopy; Lolium perenne; Poa pratensis; Tissue testing
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Cultivar Names: | North Star; Penncross; Bright Star |
Abstract/Contents: | "Kentucky bluegrass (Poa pratensis L.) 'North Star', creeping bentgrass (Agrostis stolonifera L.) 'Penncross', and perennial ryegrass (Lolium perenne L.) 'Bright Star' were grown in a greenhouse in 2005 and 2006 seasons. The species were subjected to factorial combinations of 0, 20, and 40 Kg ha-1 per month of N, and 0, 10, and 20 Kg ha-1 per month of K, respectively. The mature grass clippings were harvested at the end of each study and tissues were analyzed using both traditional wet chemistry and Fourier transform infrared (FTIR) reflectance spectroscopy to test if the FTIR technology could be used for rapid routine turfgrass tissue analysis of major elements. Spectra generated with diffuse reflectance Fourier transform (DRIFT) spectroscopy in the near infrared (NIR) range in combination with PLS statistics could be used to predict tissue N, P, and K in creeping bentgrass, Kentucky bluegrass, and perennial ryegrass with very good accuracy (R2 = 0.99, 0.99, 0.97). The predictability in mid-infrared (MIR) spectroscopy was not as good as with NIR for the nutrients in the species used in this study (R2 = 0.68, 0.63, and 0.77). The spectrum peak positions for the three cool-season species were essentially the same for the growing conditions tested in this study. The results indicated that with proper calibration, FTIR is a rapid, inexpensive, and reliable method for testing major nutrient status in turfgrass tissues." |
Language: | English |
References: | 39 |
Note: | Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Fang, W., D. Li, L. Han, and Z. Sun. 2009. Turfgrass tissue analysis using fourier transform infrared reflectance spectroscopy. Int. Turfgrass Soc. Res. J. 11(Part 2):p. 987-1000. |
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| Web URL(s): https://archive.lib.msu.edu/tic/its/articles/2009jou987.pdf Last checked: 10/18/2011 Requires: PDF Reader |
| MSU catalog number: b2548899 |
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