Suppr超能文献

评估磷源系数作为径流磷浓度预测指标的作用。

Evaluation of phosphorus source coefficients as predictors of runoff phosphorus concentrations.

作者信息

Smith Matt C, White John W, Coale Frank J

机构信息

USDA-ARS, Environ. Management and Byproducts Utilization Lab., Beltsville, MD 20705-2325, USA.

出版信息

J Environ Qual. 2009 Feb 6;38(2):587-97. doi: 10.2134/jeq2007.0669. Print 2009 Mar-Apr.

Abstract

Many states have adopted a P site index (PSI) as a risk assessment tool to determine when P-based nutrient management is required for a given agricultural field. Some PSIs use a weighting factor, the phosphorus source coefficient (PSC), to account for differences in P solubility between organic P sources. Information relating to appropriate values of PSC for various organic P sources is limited. The objectives of this study were to determine PSCs for organic P sources and to examine the relationship between PSCs and P concentrations measured in simulated rainfall runoff. An incubation study was used to calculate PSCs based on the extractability of P from organic P sources (separated and unseparated liquid dairy manure, digested dairy manure, dairy manure solids, poultry litter, and compost) relative to P from triple superphosphate fertilizer. The PSCs from the 14-d incubations were the best predictors of runoff P after 14 d soil equilibration in the runoff boxes. The values for iron-oxide strip phosphorus (FeO-P) PSC ranged from 78% for compost to 28% for poultry litter and were significantly related to runoff DR-P (r(2) = 0.80***) and FeO-P (r(2) = 0.76***) during the 14-d runoff event. Mehlich 3 PSCs ranged from 59% for compost to 30% for unseparated dairy manure and were better predictors of DR-P and FeO-P during the 56-d event (r(2) = 0.73*** and 0.65***, respectively). The results of this study indicate that PSCs based on soil incubations may improve the ability of PSCs to predict the risk of runoff transport, particularly after manure incorporation.

摘要

许多州已采用磷素位点指数(PSI)作为风险评估工具,以确定何时需要对特定农田进行基于磷的养分管理。一些PSI使用加权因子,即磷源系数(PSC),来考虑有机磷源之间磷溶解度的差异。关于各种有机磷源的PSC适宜值的相关信息有限。本研究的目的是确定有机磷源的PSC,并研究PSC与模拟降雨径流中测得的磷浓度之间的关系。采用培养研究来计算PSC,该计算基于相对于重过磷酸钙肥料中的磷,有机磷源(分离和未分离的液态奶牛粪便、消化后的奶牛粪便、奶牛粪便固体、家禽粪便和堆肥)中磷的可提取性。在径流箱中进行14天土壤平衡后,14天培养所得的PSC是径流磷的最佳预测指标。在14天的径流事件中,氧化铁条带磷(FeO-P)的PSC值范围为:堆肥为78%,家禽粪便为28%,且与径流溶解态可反应磷(DR-P)(r² = 0.80***)和FeO-P(r² = 0.76***)显著相关。Mehlich 3法的PSC值范围为:堆肥为59%,未分离的奶牛粪便为30%,在56天的事件中,它们对DR-P和FeO-P的预测性更好(分别为r² = 0.73和0.65)。本研究结果表明,基于土壤培养的PSC可能会提高PSC预测径流迁移风险的能力,尤其是在施入粪肥之后。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验