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DOI: | 10.1080/00103624.2012.719981 |
Web URL(s): | http://www.tandfonline.com/doi/pdf/10.1080/00103624.2012.719981 Last checked: 01/04/2013 Requires: PDF Reader Access conditions: Item is within a limited-access website http://www.tandfonline.com/doi/full/10.1080/00103624.2012.719981 Last checked: 01/04/2013 Access conditions: Item is within a limited-access website |
Publication Type:
| Report |
Author(s): | Han, Lei;
Li, Deying;
Fang, Wenjuan;
Wang, Yichun;
Gaussoin, Roch |
Author Affiliation: | Han: Research Institute of Forestry / Key Laboratory of Forest Cultivation, State Forestry Administration; Fang: Institute of Turfgrass Science, Beijing Forestry University, Beijing, China; Li and Wang: Department of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA; Gaussoin: Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA |
Title: | Analysis of soil chemical properties of sand-based turfgrass rootzone using fourier transform-infrared spectroscopy |
Source: | Communications in Soil Science and Plant Analysis. Vol. 43, No. 21, 2012, p. 2709-2721. |
Publishing Information: | New York, New York: Marcel Dekker |
# of Pages: | 13 |
Related Web URL: | http://www.tandfonline.com/doi/abs/10.1080/00103624.2012.719981 Last checked: 01/09/2013 |
Keywords: | TIC Keywords: Carbon; Cation exchange capacity; Electrical conductivity; Fourier transform infrared spectroscopy; Near-infrared reflectance spectroscopy; Nitrogen; Root zone; Sand-based root zones; Soil sampling
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Abstract/Contents: | "To evaluate diffuse reflectance Fourier transform-infrared (DRIFT) in near-infrared (NIR) and mid-infrared (MIR) regions in conjunction with partial least square regression analysis for sand-based turfgrass soils, soil samples were collected from greens 6 to 9 years old, composed of two rootzone mixtures and from two establishment fertilization regimes, at different depths (surface to 7.6 cm in 12 layers). Mid-infrared and NIR spectroscopy resulted in similar calibration accuracy for total organic carbon, total nitrogen, cation exchange capacity, electric conductivity, and pH with R2 > 0.80. The modeling process for MIR spectrum was repeated on sample subsets, which were grouped from the original samples based on rootzone mixtures, putting green age, and depth to test the robustness of prediction models. Results of this study suggested that DRIFT-NIR and DRIFT-MIR could be used to predict these properties of sand-based turfgrass soils providing the soil samples are from similar depths." |
Language: | English |
References: | 31 |
Note: | Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Han, L., D. Li, W. Fang, Y. Wang, and R. Gaussoin. 2012. Analysis of soil chemical properties of sand-based turfgrass rootzone using fourier transform-infrared spectroscopy. Commun. Soil. Sci. Plant Anal. 43(21):p. 2709-2721. |
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| DOI: 10.1080/00103624.2012.719981 |
| Web URL(s): http://www.tandfonline.com/doi/pdf/10.1080/00103624.2012.719981 Last checked: 01/04/2013 Requires: PDF Reader Access conditions: Item is within a limited-access website http://www.tandfonline.com/doi/full/10.1080/00103624.2012.719981 Last checked: 01/04/2013 Access conditions: Item is within a limited-access website |
| MSU catalog number: b2211306a |
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