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Volume 38, Issue 4 p. 1645-1653
Surface Water Quality

Estimating Phosphorus Loss in Runoff from Manure and Fertilizer for a Phosphorus Loss Quantification Tool

P. A. Vadas

Corresponding Author

P. A. Vadas

USDA-ARS, U.S. Dairy Forage Research Center, 1925 Linden Dr. West, Madison, WI, 53706

Corresponding author ([email protected]).Search for more papers by this author
L. W. Good

L. W. Good

151 Soils Building, 1525 Observatory Dr., Univ. of Wisconsin, Madison, WI, 53706

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P. A. Moore

P. A. Moore

USDA-ARS, Room 108 POSC, Univ. of Arkansas, Fayetteville, AR, 72701

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N. Widman

N. Widman

USDA-NRCS, Room 6158-S, P.O. Box 2890, Washington, DC, 20013-2890

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First published: 01 July 2009
Citations: 57

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Abstract

Nonpoint-source pollution of fresh waters by P is a concern because it contributes to accelerated eutrophication. Given the state of the science concerning agricultural P transport, a simple tool to quantify annual, field-scale P loss is a realistic goal. We developed new methods to predict annual dissolved P loss in runoff from surface-applied manures and fertilizers and validated the methods with data from 21 published field studies. We incorporated these manure and fertilizer P runoff loss methods into an annual, field-scale P loss quantification tool that estimates dissolved and particulate P loss in runoff from soil, manure, fertilizer, and eroded sediment. We validated the P loss tool using independent data from 28 studies that monitored P loss in runoff from a variety of agricultural land uses for at least 1 yr. Results demonstrated (i) that our new methods to estimate P loss from surface manure and fertilizer are an improvement over methods used in existing Indexes, and (ii) that it was possible to reliably quantify annual dissolved, sediment, and total P loss in runoff using relatively simple methods and readily available inputs. Thus, a P loss quantification tool that does not require greater degrees of complexity or input data than existing P Indexes could accurately predict P loss across a variety of management and fertilization practices, soil types, climates, and geographic locations. However, estimates of runoff and erosion are still needed that are accurate to a level appropriate for the intended use of the quantification tool.