alexa A simplified soil and plant phosphorus model. II. Prediction of labile, organic, and sorbed phosphorus
Agri and Aquaculture

Agri and Aquaculture

Journal of Fertilizers & Pesticides

Author(s): Sharpley AN, Jones CA, Gray C, Cole CV

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Surface samples and soil chemical, physical and taxonomic data for 78 soils from the continental U.S. and Puerto Rico were obtained from the U.S. Soil Conservation Service National Soil Survey Lab. Phosphorus was extracted with the following: NH4F + HCl (Bray 1 P), NaHCO3 (Olsen P), HCl + H2SO4 (North Carolina P), and anion exchange resin (labile P). Organic P and an index of fertilizer P sorption were also measured. Soils were divided into three groups based on soil taxonomy and weathering. Regression analysis was used to obtain equations to predict labile P, organic P, and a P sorption index from soil chemical and physical properties. Labile P was related to extractable P; organic P to total N and pH; and P sorption to clay, CaCO3, labile P, and base saturation. These parameters accounted for up to 84% of labile P variation, 64% of organic P variation, and up to 78% of P sorption variation. Although the equations are empirical, independent variables chosen in the stepwide regression were consistent with P mineralization and sorption relationships previously reported. These relationships were tested using independent data sets. They can be used to generate inputs for the soil P component of the Erosion-Productivity Impact Calculator crop management model from soil test P and data available in U.S. Soil Conservation Service/State Agricultural Experiment Station Soil Survey Investigation Reports.

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This article was published in Soil Science Society of America Journal and referenced in Journal of Fertilizers & Pesticides

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