Microbial and soil parameters in relation to N mineralization in soils of diverse genesis under differing management systems |
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| Authors: | J Z Burket R P Dick |
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| Institution: | (1) Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331-7306, USA e-mail: Richard.Dick@orst.edu Tel: +001-541 737 5718, Fax: +001-541-737 5715, US |
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| Abstract: | Oregon soils from various management and genetic histories were used in a greenhouse study to determine the relationships
between soil chemical and biological parameters and the uptake of soil mineralized nitrogen (N) by ryegrass (Lolium perenne L.). The soils were tested for asparaginase, amidase, urease, β-glucosidase, and dipeptidase activities and fluorescein diacetate
hydrolysis. Microbial biomass carbon (C) and N as well as metabolic diversity using Biolog GN plates were measured, as were
total soil N and C, pH, and absorbance of soil extracts at 270 nm and 210 nm. Potentially mineralizable N (N0) and the mineralization rate constant (k) were calculated using a first order nonlinear regression model and these coefficients were used to calculate the initial
potential rate of N mineralization (N0
k). Except for Biolog GN plates, the other parameters were highly correlated to mineralized N uptake and each other. A model
using total soil N and β-glucosidase as parameters provided the best predictor of mineralized N uptake by ryegrass (R
2
=0.83). Chemical and biological parameters of soils with the same history of formation but under different management systems
differed significantly from each other in most cases. The calculated values of the initial potential rate of mineralization
in some cases revealed management differences within the same soil types. The results showed that management of soils is readily
reflected in certain soil chemical and biological indicators and that some biological tests may be useful in predicting N
mineralization in soils.
Received: 31 January 1997 |
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| Keywords: | Enzyme assays N mineralization Biolog Functional diversity Management systems |
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