Literature DB >> 33420161

A comparison of soil texture measurements using mid-infrared spectroscopy (MIRS) and laser diffraction analysis (LDA) in diverse soils.

Cathy L Thomas1, Javier Hernandez-Allica2, Sarah J Dunham2, Steve P McGrath2, Stephan M Haefele2.   

Abstract

Spectroscopic methods for the determination of soil texture are faster and cheaper than the standard methods, but how do the results compare? To address this question, laser diffraction analysis (n class="Chemical">LDA) and mid-infrared spectroscopy (MIRS) analysis have been compared to conventional sieve-pipette measurements of texture in diverse European and Kenyan soils. To our knowledge this comparison between LDA and MIRS has not been made previously. It has used soils with a broad range of organic carbon (OC) contents to investigate whether, as in other techniques, clay-OC aggregation affects the estimation of clay with MIRS. The MIRS predictions of clay content were much better than the LDA measurements, but both techniques gave good measurements of sand content. The MIRS over-estimated clay at low clay content and under-estimated at high clay content (calibration set R2 = 0.83). The LDA over-estimated clay by ~ 60% (calibration set R2 = 0.36), indicating that the widely used clay threshold of < 8 µm was too high, and < 4 µm was found to be more accurate. In samples with < 5% OC content, both the LDA and MIRS gave very good clay predictions (R2 = 0.88 and 0.81, respectively). But in predictions of clay content in samples with > 5% OC the LDA under-estimated (R2 =  < 0.1) and MIRS over-estimated (R2 = 0.34) clay content. In soils with OC removed, the MIRS prediction of clay content improved, indicating interference between over-lapping spectral regions for organic and mineral constituents. Unlike granulometric measurements of texture such as the LDA, MIRS analysis is not subject to the limitations imposed by the shape and density of particles. It was concluded that in typical agricultural soils with < 5% OC and < 60% clay content, both techniques could be used for cheap, fast and reliable estimates of soil texture.

Entities:  

Year:  2021        PMID: 33420161      PMCID: PMC7794311          DOI: 10.1038/s41598-020-79618-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  5 in total

1.  Mechanisms of soil humic acid adsorption onto montmorillonite and kaolinite.

Authors:  Hongfeng Chen; Luuk K Koopal; Juan Xiong; Marcelo Avena; Wenfeng Tan
Journal:  J Colloid Interface Sci       Date:  2017-05-24       Impact factor: 8.128

2.  Soil texture analysis revisited: Removal of organic matter matters more than ever.

Authors:  Johannes Lund Jensen; Per Schjønning; Christopher W Watts; Bent T Christensen; Lars J Munkholm
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

3.  Adequacy of laser diffraction for soil particle size analysis.

Authors:  Peter Fisher; Colin Aumann; Kohleth Chia; Nick O'Halloran; Subhash Chandra
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

4.  Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties.

Authors:  Andrew M Sila; Keith D Shepherd; Ganesh P Pokhariyal
Journal:  Chemometr Intell Lab Syst       Date:  2016-04-15       Impact factor: 3.491

5.  Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils.

Authors:  Christopher Hutengs; Bernard Ludwig; András Jung; Andreas Eisele; Michael Vohland
Journal:  Sensors (Basel)       Date:  2018-03-27       Impact factor: 3.576

  5 in total

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