"Phosphorus retention in Indiana soils" by Tony Lee Provin
 

Phosphorus retention in Indiana soils

Tony Lee Provin, Purdue University

Abstract

Concerns about phosphorus (P) inputs to sufacewaters from agriculture have brought renewed interest in the P retention dynamics of surface and subsurface soils. Laboratory studies were conducted on 19 Indiana soil series (87 total horizons) to determine (1) P sorption capacities, (2) P retained at equilibrium solution concentrations (ESC) of 0.10, 0.25, 0.50, 1.0, and 2.0 mg P L$\sp{-1}$, and (3) physical and chemical properties associated with soil P retention. Phosphorus sorption capacities ranged from 80 to 425 mg P kg$\sp{-1}$. Phosphorus retained at each ESC in the upper two horizons was negatively correlated with oxalate extractable P (P$\sb{\rm ox}$)/oxalate extractable (Al (Al$\sb{\rm ox})$ + Fe (Fe$\sb{\rm ox}$)) (PSI). Phosphorus retained at each ESC for the lower horizons was positively correlated with dithionite extractable Al and negatively correlated with organic carbon (C$\sb{\rm org}$), Bray P$\sb1$, and P$\rm\sb{ox}/Al\sb{ox}$. Soil Bray P$\sb1$ following P addition and one-year incubation could be predicted with initial Bray P$\sb1$, initial PAlF, and exchangeable Ca (Ca$\sb{\rm ex}$) (r = 0.978, P $<$ 0.001). The PSI was the only soil property to adequately predict WSP concentrations in the first extract following the one-year incubation. Regression analysis indicates that WSP levels will exceed 0.10 mg P L$\sp{-1}$ when PSI values exceed 0.147. The Bray P$\sb1$ soil test was also the best single parameter for predicting cumulative water-soluble P (CWSP) in non-calcareous horizons (R = 0.885, P $<$ 0.001). A Bray P$\sb1$ soil test of 39.7 mg P kg$\sp{-1}$ was required for the presence of water-soluble P. Regression analysis indicated that 65.5% of Bray P1 extractable P above a Bray P$\sb1$ of 39.7 mg P kg$\sp{-1}$ is potentially water-soluble. Adding C$\sb{\rm org}$ and Ca$\sb{\rm ex}$ improved the correlation coefficient for the CWSP regression equation (R = 0.938, P $<$ 0.001). The results of this laboratory research show that common soil test information can accurately predict CWSP for Indiana soils.

Degree

Ph.D.

Advisors

Joern, Purdue University.

Subject Area

Soil sciences|Environmental science|Agricultural chemicals

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