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United States Department of Agriculture

Agricultural Research Service

Research Project: ENVIRONMENTALLY SOUND MANURE MANAGEMENT FOR REDUCTION OF HEALTH-RELATED MICROORGANISMS AND ODOR Title: Phosphorus loss prediction on cropland areas

Author
item Gilley, John

Submitted to: Natural Resources Research Update (NRRU)
Publication Type: Research Technical Update
Publication Acceptance Date: October 24, 2008
Publication Date: March 5, 2009
Repository URL: http://hdl.handle.net/10113/17465
Citation: Gilley, J.E. 2008. Phosphorus loss prediction on cropland areas. Natural Resources Research Update (NRRU). Update #238745. Available at: http://hdl.handle.net/10113/17465 and http://hdl.handle.net/10113/8165.

Technical Abstract: The application of beef cattle or swine manure to cropland areas at rates in excess of crop nutrient requirements can result in the accumulation of soil P and an increased potential for P transport by overland flow. The P content of runoff is influenced by manure application rate, residual soil P content, length of time since the previous manure application, soil characteristics, and runoff conditions. If the effects of these variables on P concentration of runoff can be quantified, nutrient management practices can be implemented to protect surface water quality. The objectives of this project were to: 1) determine the relationship between P in soil and the movement of dissolved P (DP) to surface water, 2) develop procedures to identify areas susceptible to P losses in a landscape, and 3) identify comprehensive nutrient management practices to protect surface water quality. Field rainfall simulation tests were conducted on paired 0.75 m wide by 2 m long plots. Rainfall was applied for 30 min at an intensity of 70 mm hr-1 using a portable rainfall simulator. Following the initial rainfall event, two additional tests were conducted at approximately 24-hr intervals. Field experimental tests were conducted using beef cattle and swine manure applied under both no-till and tilled conditions at rates required to meet crop nutrient requirements. Tests were conducted on sites containing corn, soybean and wheat residues. Nutrient transport was measured soon after manure application, throughout the year, and after long-term manure application. On a Sharpsburg silty clay loam soil located near Lincoln, Nebraska, DP concentrations of runoff were found to increase in an exponential fashion from 0.18 to 3.37 mg L-1 as soil Bray P content varied from 50 to 300 mg L-1. As the length of time since manure application increased from 2 to 350 days, the mean concentration of DP declined from 2.16 to 0.51 mg L-1 on beef cattle manure treatments and from 0.77 to 0.28 mg L-1 on swine manure treatments. Manure application rate, residual soil nutrient content, length of time since the previous manure application, soil characteristics, and runoff conditions were all found to influence the DP concentration of runoff. Phosphorus-based manure and compost application was found to be an environmentally sound management system. The DP concentration of runoff following N-based manure application can be an environmental concern when applied under no-till conditions without incorporation. With proper application and management, manure can serve as a valuable nutrient source and soil amendment without causing adverse environmental impacts. Publications contributing to the NRRU Releaswe as shown above: Gilley, J.E, B. Eghball, B.J. Wienhold, and P.S Miller. 2001. Nutrients in runoff following the application of swine manure to interrill areas. Trans. of the ASABE. 44(6):1651-1659. Gilley, J.E, B. Eghball, and D.B. Marx. 2007. Nutrient concentrations of runoff during the year following manure application. Trans. of the ASABE. 50(6):1987-1999. Gilley, J.E., W.F. Sabatka, B. Eghball, and D.B. Marx. 2008. Nutrient transport as affected by rate of overland flow. Trans. of the ASABE. 51(4):1287-1293. Kim, M., Gilley, J.E. 2008. Artificial neural network estimation of soil erocion and nutrient concentrations in runoff from land application areas. Computers and Electronics in Agriculture. 64(2):268-275.

Last Modified: 12/19/2014
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