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Remaining Phosphorus Estimate Through Multiple Regression Analysis

机译:多元回归分析法估算剩余磷

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The remaining phosphorus (Prem), P concentration that remains in solution after shaking soil with 0.01 mol L-1 CaCl2 containing 60 μg mL-1 P, is a very useful index for studies related to the chemistry of variable charge soils. Although the Prem determination is a simple procedure, the possibility of estimating accurate values of this index from easily and/or routinely determined soil properties can be very useful for practical purposes. The present research evaluated the Premestimation through multiple regression analysis in which routinely determined soil chemical data, soil clay content and soil pH measured in 1 mol L-1 NaF (pHNaF) figured as Prem predictor variables. The Prem can be estimated with acceptable accuracy using the above-mentioned approach, and PHNaF not only substitutes for clay content as a predictor variable but also confers more accuracy to the Prem estimates.
机译:与含有60μgmL-1 P的0.01 mol L-1 CaCl2摇动土壤后,溶液中残留的磷(Prem),P浓度对于与可变电荷土壤化学相关的研究非常有用。尽管Prem的确定是一个简单的过程,但从实际和/或常规确定的土壤性质中估算该指数的准确值的可能性对于实际应用可能非常有用。本研究通过多元回归分析对Premestimation进行了评估,在该回归分析中,常规确定的土壤化学数据,土壤粘土含量和土壤pH值以1 mol L-1 NaF(pHNaF)作为Prem预测变量测得。 Prem可以使用上述方法以可接受的精度进行估计,PHNaF不仅可以代替粘土含量作为预测变量,而且可以为Prem估计提供更高的准确性。

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