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13 June 2018 Infrared spectroscopy estimation methods for water-dissolved carbon and amino sugars in diverse Canadian agricultural soils
Lei Zhang, Xueming Yang, Craig Drury, Martin Chantigny, Edward Gregorich, Jim Miller, Shabtai Bittman, W. Dan Reynolds, Jingyi Yang
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Abstract

Infrared spectroscopy has the potential to rapidly analyse soil water-dissolved carbon and amino sugars. In this study, mid-infrared (MIR) and near-infrared (NIR) spectra collected from soil water extracts or from bulk soils were analysed with partial least squares regression (PLSr) to estimate the concentrations of water-dissolved carbon and amino sugars in diverse agricultural soils collected from five field sites in two western and two eastern Canadian provinces. The MIR-PLSr models developed from soil water extract spectra estimated hot-water (100 °C) dissolved carbon (HWDC) [R2 = 0.97–0.70, ratio of prediction to deviation (RPDp) = 6.13–1.83] well, but the MIR-PLSr models did not estimate cold-water (21 °C) dissolved carbon (CWDC) well (R2 = 0.82–0.50, RPDp = 2.35–1.42). The model estimates of HWDC at the multisite scale (all samples together) and for the two western Canada sites (R2 = 0.97–0.93, RPDp = 6.13–3.68) surpass the modal estimates for the three eastern Canadian sites (R2 = 0.81–0.70, RPDp = 2.28–1.83). The MIR- and NIR-PLSr models derived from bulk soil spectra both estimated HWDC well at the multisite scale (R2 = 0.91–0.88, RPDp = 3.32–2.90) and for the western Canada sites (R2 = 0.90–0.87, RPDp = 3.18–2.96). Models developed from hot-water extract spectra and bulk soil spectra resulted in poor estimates of soil amino sugars (R2 = 0.74–0.21, RPDp = 1.99–1.12), except for the approximate quantitative estimation of muramic acid by models based on soil spectra at the western and the multisite scale (R2 = 0.82–0.80, RPDp = 2.33–2.21). We concluded that MIR and NIR models at regional and multisite scales can be used as a tool to monitor HWDC but that additional research is required for estimating soil amino sugars.

© Her Majesty the Queen in right of Canada 2018. Permission for reuse (free in most cases) can be obtained from RightsLink.
Lei Zhang, Xueming Yang, Craig Drury, Martin Chantigny, Edward Gregorich, Jim Miller, Shabtai Bittman, W. Dan Reynolds, and Jingyi Yang "Infrared spectroscopy estimation methods for water-dissolved carbon and amino sugars in diverse Canadian agricultural soils," Canadian Journal of Soil Science 98(3), 484-499, (13 June 2018). https://doi.org/10.1139/cjss-2018-0027
Received: 5 March 2018; Accepted: 23 May 2018; Published: 13 June 2018
JOURNAL ARTICLE
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KEYWORDS
amino sugars
carbone dissous dans l’eau
carbone organique
infrared spectra
modeling prediction
organic carbon
prévision par modélisation
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