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RESEARCH ARTICLE

Prediction of the CEC to clay ratio using mid-infrared spectroscopy

Philip M. Bloesch
+ Author Affiliations
- Author Affiliations

Department of Environment and Resource Management, Ecosciences Precinct, Boggo Road, Dutton Park, Qld 4012, Australia. Email: Phil.Bloesch@derm.qld.gov.au

Soil Research 50(1) 1-6 https://doi.org/10.1071/SR11137
Submitted: 10 June 2011  Accepted: 26 December 2011   Published: 13 February 2012

Abstract

The ratio of cation exchange capacity to clay (CCR) has been used as an index of clay mineralogy in subsoils low in organic matter in place of the standard X-ray diffraction measurement. Laboratory determination of this ratio is time-consuming and expensive and involves two analyses. In this paper, the CCR has been successfully predicted from mid-infrared diffuse reflectance spectra using partial least-squares regression (PLSR) with a square-root transformation of the CCR values (R2 = 0.860; root mean squared error of prediction = 0.089; relative per cent deviation = 2.660 for an independent validation set). The most important wavelengths used in the PLSR calibration were identified. The prediction of CCR using mid-infrared spectroscopy provides a cheaper and faster alternative to laboratory determination.

Additional keywords: CEC to clay ratio, mid-infrared diffuse reflectance, partial least squares regression.


References

Brubaker SC, Holzhey CS, Brasher BR (1992) Estimating the water-dispersible clay content of soils. Soil Science Society of America Journal 56, 1226–1232.
Estimating the water-dispersible clay content of soils.Crossref | GoogleScholarGoogle Scholar |

Chong I-G, Jun C-H (2005) Performance of some variable selection methods when multicollinearity is present. Chemometrics and Intelligent Laboratory Systems 78, 103–112.
Performance of some variable selection methods when multicollinearity is present.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXlslWisbs%3D&md5=7b799694b12db40006725f91866ce322CAS |

Coughlan KJ, Loch RJ (1984) The relationship between aggregation and other soil properties in cracking clay soils. Australian Journal of Soil Research 22, 59–69.
The relationship between aggregation and other soil properties in cracking clay soils.Crossref | GoogleScholarGoogle Scholar |

Eldridge SM (2003) Sugar soils: a guide to characterising Australian sugarcane soils. CRC Sugar Technical Publication, CRC for Sustainable Sugar Production, Townsville.

Fearn T (2002) Assessing calibrations: SEP, RPD, RER and R 2. NIR News 13, 12–14.

Gillman GP, Bell LC (1976) Surface charge characteristics of six weathered soils from tropical north Queensland. Australian Journal of Soil Research 14, 351–360.
Surface charge characteristics of six weathered soils from tropical north Queensland.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaE2sXivVymtQ%3D%3D&md5=dcfca926a84a072f0bb8149d898198b1CAS |

Holt JE (1969) A study of the physical-chemical, mineralogical, and engineering index properties of fine grained soil in relation to their expansive characteristics. PhD Dissertation, Texas A&M University, College Station, TX, USA.

Isbell RF (2002) ‘The Australian Soil Classification.’ Revised edn. (CSIRO Publishing: Melbourne) http://www.publish.csiro.au/pid/3529.htm

Johnston CT, Aochi YO (1996) Fourier transform infrared and raman spectroscopy. In ‘Methods of soil analysis. Part 3: Chemical methods’. (Ed. DL Sparks) pp. 269–321. (Soil Science Society of America: Madison, WI)

Lin L (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45, 255–268.
A concordance correlation coefficient to evaluate reproducibility.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL1M3kslKrtg%3D%3D&md5=b02b4f860e9009a70bce4ff9a5079041CAS |

Lin L (2000) A note on the concordance correlation coefficient. Biometrics 56, 324–325.

Madejová J, Komadel P (2001) Baseline studies of the clay mineral society source clays: infrared methods. Clays and Clay Minerals 49, 410–432.
Baseline studies of the clay mineral society source clays: infrared methods.Crossref | GoogleScholarGoogle Scholar |

Martens H, Naes T (1989) ‘Multivariate calibration.’ (John Wiley and Sons: Chichester, UK)

McAleese DM (1958) Studies on the basaltic soils of Northern Ireland VI. Cation-exchange capacities and mineralogy of the fine-sand separates (0.02–0.2 mm). Journal of Soil Science 9, 289–297.
Studies on the basaltic soils of Northern Ireland VI. Cation-exchange capacities and mineralogy of the fine-sand separates (0.02–0.2 mm).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaF3cXhvFWmsQ%3D%3D&md5=0fac829d503edf9bf0dfefd3cbdad78aCAS |

Mevik BH, Wehrens R (2007) The pls package: principal component and partial least squares regression in R. Journal of Statistical Software 18, 1–24.

Minasny B, Tranter G, McBratney AB, Brough DM, Murphy BW (2009) Regional transferability of mid-infrared diffuse reflectance spectroscopic prediction for soil chemical properties. Geoderma 153, 155–162.
Regional transferability of mid-infrared diffuse reflectance spectroscopic prediction for soil chemical properties.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXht1SktL%2FP&md5=64c0fe9cc64f09d5d38164bcfc742dcaCAS |

Pearing JR (1963) A study of the basic mineralogical, physical-chemical, and engineering index properties of laterite soils. PhD Dissertation, Texas A&M University, College Station, TX, USA.

Rayment GE, Higginson FR (1992) ‘Australian laboratory handbook of soil and water chemical methods.’ (Inkata Press: Melbourne)

Shaw RJ, Thorburn PJ (1985) Prediction of leaching fraction from soil properties, irrigation water and rainfall. Irrigation Science 6, 73–83.
Prediction of leaching fraction from soil properties, irrigation water and rainfall.Crossref | GoogleScholarGoogle Scholar |

Shaw RJ, Coughlan KJ, Bell LC (1998) Root zone sodicity. In ‘Sodic soils: Distribution, properties, management, and environmental consequences’. (Eds ME Sumner, R Naidu) pp. 95–106. (Oxford University Press: New York)

Stace HCT, Hubble GD, Brewer R, Northcote KH, Sleeman JR, Mulcahy MJ, Hallsworth EG (1968) ‘A handbook of Australian soils.’ (Rellim Technical Publications: Glenside, S. Aust.)

Thorburn PJ, Shaw RJ (1987) Effect of different dispersion and fine fraction determination methods on results of routine particle-size analysis. Australian Journal of Soil Research 25, 347–360.
Effect of different dispersion and fine fraction determination methods on results of routine particle-size analysis.Crossref | GoogleScholarGoogle Scholar |

Viscarra Rossel RA, Jeon YS, Odeh IOA, McBratney AB (2008) Using a legacy soil sample to develop a mid-IR spectral library. Australian Journal of Soil Research 46, 1–16.
Using a legacy soil sample to develop a mid-IR spectral library.Crossref | GoogleScholarGoogle Scholar |

Viscarra Rossel RA, McGlynn RN, McBratney AB (2006) Determining the composition of mineral-organic mixes using UV-VIS-NIR diffuse reflectance spectroscopy. Geoderma 137, 70–82.
Determining the composition of mineral-organic mixes using UV-VIS-NIR diffuse reflectance spectroscopy.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xhtlals7fL&md5=d9130b53783d5ba5b32641c1b01a23e0CAS |

Wilson PR, Baker DE (1990) Soils and agricultural land use suitability of the wet tropical coast of north Queensland: Ingham area. Land Resources Bulletin, Queensland Department of Primary Industries, Brisbane, Qld.