Rapid Assays to Predict Nitrogen Mineralization Capacity of Agricultural Soils

被引:38
作者
Curtin, Denis [1 ]
Beare, Michael H. [1 ]
Lehto, Kathryn [1 ]
Tregurtha, Craig [1 ]
Qiu, Weiwen [1 ]
Tregurtha, Rebekah [1 ]
Peterson, Michelle [1 ]
机构
[1] New Zealand Inst Plant & Food Res Ltd, Private Bag 4704, Christchurch, New Zealand
关键词
EXTRACTABLE ORGANIC-MATTER; MICROBIAL BIOMASS; TEMPERATURE-DEPENDENCE; CHEMICAL-COMPOSITION; CARBON; AVAILABILITY; MANAGEMENT; FRACTIONS; INDICATOR; INDEXES;
D O I
10.2136/sssaj2016.08.0265
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Inability to predict the quantity of nitrogen a soil can supply via mineralization remains a serious obstacle to the improvement of N management. A large-scale study (130 soils) was conducted to identify laboratory assays that may enable N mineralization potential of New Zealand soils to be estimated reliably and rapidly. To ensure that the study delivered robust conclusions, samples (0-15 cm) were collected from a wide range of sedimentary and allophanic soils representing different land uses (pastures; arable cropping). The selected assays included: N mineralized in a 7-d anaerobic incubation at either 40 or 25 degrees C; CO2-C evolved in 24-h following re-wetting of air-dry soil ("CO2 burst test"); and N mineralized in a 2-wk aerobic incubation. Dissolved organic matter was determined using "mild" extractants: cold and hot water and 0.01 mol L-1 NaHCO3. Particulate organic matter was included as it is known to be labile and can be rapidly quantified. These assays were evaluated against N mineralization potential measured in a 14-wk aerobic incubation at 25 degrees C. The assays that correlated closely with mineralization potential included anaerobically mineralizable N and CO2 burst test values. Particularly strong correlations were obtained for hot water extractable N, suggesting that this easily-measured organic N fraction can be used to predict N supply potential across a wide range of soil types and land uses. Inclusion of hot water specific ultraviolet absorbance (260 nm) in a multivariate regression with hot water extractable N and land use produced the best-fit model for explaining variability in N mineralization potential.
引用
收藏
页码:979 / 991
页数:13
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