Abstract
Soil chemical, physical and biological analyses are a crucial but often expensive and time-consuming step in the characterization of soils. Rapid and accurate predictions and relatively simple methods are ideally needed for soil analysis. The objective of this study was to predict some soil properties (e.g. pH, EC, total C, total N,C/N, NH4-N, NO3-N, P, K, clay, silt, and sand and soil microbial biomass carbon) across the Wickepin farm during summer season using a Mid-Infra Red - Partial Least Square (MIR–PLS) method. The 291 soil samples were analyzed both with soil extraction procedure and MIR Spectrometer. Calibrations were developed between MIR spectral data and the results of soil extraction procedures. Results using the PLS-MIR showed that MIR-predicted values were almost as highly correlated to the measured value obtained by the soil extraction method of total carbon, total nitrogen and soil pH. Values for EC, NH4-N, NO3-N, C/N, P, K, clay, silt, sand, and soil microbial biomass carbon were not successfully predicted by the MIR – PLS technique. There was a tendency for these factors to correlate with the MIR predicted value, but the correlation values were very low. This study has confirmed that the MIR-PLS method can be used to predict some soil properties based on calibrations of MIR values. Keywords: MIR-Partial Least Square, MIR-Spectroscopy, soil properties
Highlights
IntroductionSoils are rarely homogeneous and the variability occurs both laterally and with depth
Soils are rarely homogeneous and the variability occurs both laterally and with depth. It can result from changes in the chemical balance of the soil associated with agricultural practices including nutrient uptake, crop rotations, fertilizer use, lime application (Viscarra Rossel and McBratney 1998) and leaching
This study suggested that mid infrared (MIR) spectra can be obtained much more rapidly compared with the conventional methods for measuring bacteria and fungi
Summary
Soils are rarely homogeneous and the variability occurs both laterally and with depth. It can result from changes in the chemical balance of the soil associated with agricultural practices including nutrient uptake, crop rotations, fertilizer use, lime application (Viscarra Rossel and McBratney 1998) and leaching. To understand more about the variation in soil properties, spatially dense soil analyses are often required. Soil analytical procedures need to be able to cope with a large number of samples. An alternative method for assessing soil properties and their variability across a landscape is mid infrared (MIR) spectr oscopy. MIR spectroscopy has considerable advantages and offers a possible alternative to conventional methods through increased speed and sensitivity (Janik et al 1995).
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
