Author
DELAUNE, PAUL - UNIV OF ARKANSAS | |
Moore, Philip | |
CARMEN, DENNIS - USDA NRCS | |
Sharpley, Andrew | |
Haggard, Brian | |
DANIEL, TOMMY - UNIV OF ARKANSAS |
Submitted to: Journal of Environmental Quality
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 7/6/2004 Publication Date: 11/1/2004 Citation: Delaune, P.B., Moore Jr, P.A., Carmen, D.K., Sharpley, A.N., Haggard, B.E., Daniel, T.C. 2004. Evaluation of the phosphorus source component in the phosphorus index for pastures. Journal of Environmental Quality. 33:2192-2200. Interpretive Summary: Complex models that predict phosphorus (P) runoff are difficult to use due to the large number of required input parameters. As an alternative, a P index for pastures was developed to determine how much P can safely be applied to a given field. This study was done to determine how well the P index for pastures can estimate the amount of P in runoff water by using simulated rainfall on small plots. Poultry litter was applied to small plots based on either the amount of P in the soil (soil test P) or on the P index for pastures. The amount of P in runoff from two fields were also used to determine the effectiveness of the P index. Results showed that soil test P alone provided a poor estimate of the amount of P in runoff water. However, the P index for pastures gave a much better estimate of the amount of P in runoff water. Although litter application rates were higher based on the P index compared to soil test P, P in runoff water did not differ. Studies on pastures receiving natural rainfall indicated that the P index for pastures predicted P loads very accurately. This study indicated that the P index for pastures can be used to determine how much P can safely be applied to fields, much better than applying litter based on soil test P. Technical Abstract: Models that predict phosphorus (P) runoff from a variety of landscapes and farming systems are not widely available and are often difficult to use due to the large number of required input parameters. Therefore, a P index for pastures was developed to write nutrient management plans that determine how much P can safely be applied to a given field. The objective of this study was to validate the P index for pastures by conducting rainfall simulation studies on six farms with contrasting soils under various management scenarios. Poultry litter was applied based on either an environmental threshold soil test P level or on the P index for pastures. The P index was also validated using two, 0.405 ha watersheds which had been fertilized annually with poultry litter since 1995. Results showed that soil test P alone was a poor predictor of P concentrations in runoff water (r = 0.06). However, the relationship between P index values and P concentrations in runoff water were highly significant (P<0.0001; r = 0.77). Although litter application rates were significantly higher based on the P index compared to threshold soil test P levels, P concentrations in runoff water were not significantly different. Validation studies on pastures receiving natural rainfall indicated that the P index for pastures predicted P loads accurately without calibration (y = 1.16x - 0.23, r = 0.91). These data indicate that the P index for pastures can accurately assess the risk of P loss under natural conditions and provide a more realistic risk assessment than threshold soil test P levels. |