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基于多元回归估算残留P
引用本文:M. E. ALVES,A. LAVORENTI. 基于多元回归估算残留P[J]. 土壤圈, 2006, 16(5): 566-571. DOI: 10.1016/S1002-0160(06)60089-1
作者姓名:M. E. ALVES  A. LAVORENTI
作者单位:Departamento de Ciencias Exatas, Escola Superior de Agricultura ‘Luiz de Queiroz’-ESALQ/USP, Piracicaba (SP)13418-900 (Brazil)
基金项目:Project supported by the State of Sāo Paulo Research Foundation--FAPESP, Brazil (No. 98/01502-8).
摘    要:The remaining phosphorus (Prem), P concentration that remains in solution after shaking soil with 0.01 mol L-1 CaCl2 containing 60μg 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 Prem estimation 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.

关 键 词:阴离子 吸附作用 热带土壤 磷 土壤污染
收稿时间:2006-04-24
修稿时间:2006-07-08

Remaining phosphorus estimate through multiple regression analysis
M. E. ALVES and A. LAVORENTI. Remaining phosphorus estimate through multiple regression analysis[J]. Pedosphere, 2006, 16(5): 566-571. DOI: 10.1016/S1002-0160(06)60089-1
Authors:M. E. ALVES and A. LAVORENTI
Affiliation:Departamento de Ciências Exatas, Escola Superior de Agricultura ‘Luiz de Queiroz’—ESALQ/USP, Piracicaba (SP) 13418-900 (Brazil)
Abstract: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 Prem estimation 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.
Keywords:anionic adsorption  pHNaF  pedotransfer functions  tropical soils
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