TY  - JA
AU  - Fuentes Ponce,M.
AU  - Hidalgo,C.
AU  - González-Martín,I.
AU  - Hernández-Hierro,J,M.
AU  - Govaerts,B.
AU  - Sayre,K.D.
AU  - Etchevers Barra,J.D.
TI  - NIR spectroscopy: an alternative for soil analysis
SN  - 1532-2416
PY  - 2012///
CY  - New York (USA)
PB  - Taylor & Francis
KW  - Analytical methods
KW  - AGROVOC
KW  - Infrared spectrophotometry
KW  - Natural isotopes
KW  - Soil Organic Carbon
KW  - Nitrogen
KW  - Tillage
N1  - Peer review; Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0010-3624
N2  - Advances in laboratory instrumentation and chemometrics provide alternatives to traditional methods of conducting soil chemical analysis. One of these is infrared diffuse reflectance spectroscopy in the near-infrared spectral range (NIRS). Herein we report the results of a multinational study to develop useful calibrations associating NIRS spectra with laboratory-measured results for total soil carbon (C), total soil nitrogen (N), δ13C, and δ15N from a single soil site in Mexico subjected to zero- and conventional-tillage regimens with and without crop residues and crop rotations of maize and wheat across 16 years. Modified partial least squares regression (MPLS) was used to obtain useful NIR predictions for total soil C and N, with ratio performance deviation (RPD) values of 6.8 and 2.6, respectively. Corresponding multiple correlation coefficients (RSQs) for C and N were 0.98 and 0.85, with standard errors of prediction (SEPs) of ±0.45 g C kg–1 and ±0.09g Nkg–1, respectively. The generation of δ15N and δ13C models produced different NIR recordings in soils with and without crop residues. Application of discriminant partial least squares (DPLS) statistics to the NIR spectral data allowed us to discriminate soils with and without residues. The prediction confidence for stable isotopes was 90% (internal validation) and 94% (external validation). Modified partial least squares regression was used to estimate δ15N and δ13C. Ratio performance deviation, RSQ, and SEP values obtained for δ13C and δ15N were 2.44 and 3.57, 0.83 and 0.81, ±0.5‰ (parts per thousand) and ±0.45‰ in soils with residues and 2.5 and 3.8, 0.93 and 0.92, and ±0.2‰ and ±0.23‰ in soils without residues, respectively. Overall, results obtained with NIRS were comparable to those obtained using conventional analytical methods, a finding that has wide relevance to agricultural soils and environmental studies in tropical locations. However, further testing is necessary to confirm that the calibration models are neither site nor instrument specific
UR  - https://hdl.handle.net/20.500.12665/139
T2  - Communications in Soil Sciences and Plant Analysis
DO  - https://doi.org/10.1080/00103624.2012.641471
ER  -