作者: X. M. Yang , H. T. Xie , C. F. Drury , W. D. Reynolds , J. Y. Yang
DOI: 10.1111/J.1365-2389.2011.01421.X
关键词:
摘要: The objective of this study was to determine whether models developed from infrared spectroscopy could be used estimate organic carbon (C) content, total nitrogen (N) content and the C:N ratio in particulate matter (POM) particle size fraction samples Brookston clay loam. POM model with 165 samples, were using 221 samples. Soil C N contents fractions (sand, 2000–53 µm; silt, 53–2 clay, <2 µm) determined by dry combustion techniques. bulk soil scanned 4000 400 cm−1 for mid-infrared (MIR) spectra 8000 near-infrared (NIR) spectra. Partial least squares regression (PLSR) analysis ‘leave-one-out' cross-validation procedure calibration validation. Organic well predicted both MIR- NIR-PLSR ( = 0.84–0.92; 0.78–0.87). predictions also very good 0.84–0.94 MIR 0.86–0.92 NIR) validation 0.79–0.94 0.84–0.91 NIR). prediction sand satisfactory 0.73–0.88; 0.67–0.85). However, silt poor 0.23–0.55; 0.20–0.40). results indicate that NIR methods can as alternative estimating is better than model, whereas superior fractions.