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Rapid estimation of microbial biomass in acid red soils with and without substrate incorporation
Authors:Peng Su  Yong Liu  Sifan Wang  Zhongqi Yan  Shan Wang  Lian Zhu  Jun Lou  Fangbai Li
Institution:1.Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management,Guangdong Institute of Eco-Environmental Science and Technology,Guangzhou,China;2.Guangdong General Station of Agricultural Environment Protection and Rural Energy Resource,Guangzhou,China;3.Zhoushan Academy of Agriculture and Forestry Sciences,Zhoushan,China;4.Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment,Zhejiang University,Hangzhou,China
Abstract:

Purpose

A rapid and alternative measurement of microbial biomass in acid red soils with and without substrate incorporation is proposed for soil quality evaluation.

Materials and methods

Soil microbial biomass C (SMBC) and N (SMBN) in 24 typical red soil samples developed from two parent materials (granite and arenaceous shale) were measured using fumigation-extraction followed by dry combustion method in comparison with ultraviolet (UV) spectrophotometry (increase in absorbance at 280 nm, ΔUV280). The reliability of microbial biomass estimation by UV spectrophotometry was verified using six representative red soils amended with biochar (0, 1, 3 and 5%) and glucose (0, 100, 500 and 1000 mg kg?1) separately.

Results and discussion

ΔUV280 was strongly correlated with SMBC and SMBN measured by dry combustion, regardless of biochar/glucose incorporation. Validated conversion equations from unamended soil data were dependent on confounding effects of organic C and particle size and can be described as follows: SMBC?=?27.08?×?ΔUV280 (R2?=?0.67, n?=?24) and SMBN?=?3.62?×?ΔUV280 (R2?=?0.69, n?=?24). Regression models for rapid estimation of microbial biomass in red soils from different parent materials had to be calibrated separately in case of amendments. In most cases, SMBC (R2 of 0.75–0.76 and root mean square error (RMSE) of 22.2–29.3 mg kg?1) and SMBN (R2 of 0.74–0.80 and RMSE of 2.60–14.2 mg kg?1) can be predicted from ΔUV280 in biochar/glucose-amended soils using these equations. The slope of the regression of SMBC against ΔUV280 shifted in biochar-amended granite soils, mainly due to uncoordinated changes of SMBC in response to the difference in parent material-induced nutrient availability, while shifts of SMBC (or SMBN) against ΔUV280 in glucose-amended arenaceous shale soils were attributed to particle size distribution.

Conclusions

Soil microbial biomass (SMBC and SMBN) in red soils can be rapidly predicted by fumigation-extraction with UV spectrophotometry detection and corresponding correction of calibration curves, depending on soil nutrient availability, particle size distribution and organic C levels.
Keywords:
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