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Vis-NIR spectrometry, soil phosphate extraction methods and interactions of soil attributes.

机译:可见-近红外光谱法,土壤磷酸盐的提取方法以及土壤属性之间的相互作用。

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摘要

Abstract: The objective of this study was to evaluate the relationships between the spectra in the Vis-NIR range and the soil P concentrations obtained from the P-M and P-rem extraction methods as well as the effects of these relationships on the construction of models predicting P concentration in Oxisols. Soil samples' spectra and their P-M and P-rem extraction solutions were determined for the Vis-NIR region between 400 and 2500 nm. Mineralogy and/ or organic matter content act as primary attributes allowing correlation of these soil phosphorus fractions with the spectra, mainly at wavelengths between 450-550, 900-1100 nm, near 1400 nm and between 2200-2300 nm. However, the regression models generated were not suitable for quantitative phosphate analysis. Solubilization of organic matter and reactions during the P-M extraction process hindered correlations between the spectra and these P soil fractions. For P-rem,, the presence of Ca in the extractant and preferential adsorption by gibbsite and iron oxides, particularly goethite, obscured correlations with the spectra.
机译:摘要:本研究的目的是评估Vis-NIR范围内的光谱与通过PM和P-rem提取方法获得的土壤P浓度之间的关系,以及这些关系对预测模型构建的影响氧气中的磷浓度。确定了400至2500 nm之间Vis-NIR区域的土壤样品光谱及其P-M和P-rem提取溶液。矿物学和/或有机物含量是主要属性,可以使这些土壤磷组分与光谱相关,主要是在450-550、900-1100 nm,近1400 nm和2200-2300 nm之间的波长处。但是,生成的回归模型不适用于定量磷酸盐分析。在P-M萃取过程中,有机物的溶解和反应阻碍了光谱与这些P土组分之间的相关性。对于P-rem,萃取剂中Ca的存在以及三水铝石和氧化铁(尤其是针铁矿)的优先吸附使与光谱的相关性变得模糊。

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