Assessment of Humic and Fulvic Acids in Black Soils Using Near-Infrared Reflectance Spectroscopy
FAN Ru-qin1, 2, SHEN Yan1*, YANG Xue-ming3, ZHANG Xiao-ping1, LIANG Ai-zhen1, JIA Shu-xia1, CHEN Xue-wen1, WEI Shou-cai1, 2
1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3. Greenhouse and Processing Crops Research Centre, Agriculture and Agri-Food Canada, Harrow, Ontario, Canada N0R 1G0
Abstract：The organic carbon content and optical densities of humic acids in black soils of China were predicted and assessed using near infrared spectroscopy technique. The contents of humic acid (HA) and fulvic acid (FA) in 136 black soil samples in China were analyzed and the NIR spectra were collected using a VECTOR/22 (Fourier transform infrared spectroscopy). Partial least squares (PLS) regression with cross validation was used to develop prediction models with reference data and soil NIRS spectra, and the model was validated using an independent set of samples. NIRS well predicted (HAC+FAC), HAC and FAC contents, with R2 = 0.92, 0.92 and 0.86, RPD=3.66, 3.82 and 2.69, and high correlation coefficients between predicted and measured values (r=0.90, 0.85 and 0.82). Predictions for the E4 values of HA and FA were also good (R2=0.85, 0.85; RPD=2.88, 2.65; r=0.92, 0.80). Predictions for optical densities of HA and FA at 665 nm (E6) was acceptable. Generally, NIRS showed a good potential to predict C content and optical densities of humic acid and fulvic acid in blacks soils and may reveal information on SOC quality.
Key words：Near-infrared spectroscopy;Humic acid;Fulvic acid;Partial least squares
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