Typology of exogenous organic matters based on chemical and biochemical composition to predict potential nitrogen mineralization

Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization d...

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Bibliographic Details
Published in:Bioresource technology 2010-01, Vol.101 (1), p.157-164
Main Authors: Lashermes, G., Nicolardot, B., Parnaudeau, V., Thuriès, L., Chaussod, R., Guillotin, M.L., Linères, M., Mary, B., Metzger, L., Morvan, T., Tricaud, A., Villette, C., Houot, S.
Format: Article
Language:English
Subjects:
agricultural soils
agricultural wastes
Algorithms
Biochemical fractionation
Biological and medical sciences
Biotechnology
chemical composition
Computer Simulation
Exogenous organic matter
food wastes
Fundamental and applied biological sciences. Psychology
Hierarchical classification
kitchen waste
Life Sciences
mineralization
Minerals - analysis
Minerals - chemistry
Models, Chemical
N mineralization
nitrogen
Nitrogen - analysis
Nitrogen - chemistry
nutrient availability
Organic Chemicals - analysis
Organic Chemicals - chemistry
organic matter
soil nutrients
soil organic matter
Typology
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Summary:Our aim was to develop a typology predicting potential N availability of exogenous organic matters (EOMs) in soil based on their chemical characteristics. A database of 273 EOMs was constructed including analytical data of biochemical fractionation, organic C and N, and results of N mineralization during incubation of soil–EOM mixtures in controlled conditions. Multiple factor analysis and hierarchical classification were performed to gather EOMs with similar composition and N mineralization behavior. A typology was then defined using composition criteria to predict potential N mineralization. Six classes of EOM potential N mineralization in soil were defined, from high potential N mineralization to risk of inducing N immobilization in soil after application. These classes were defined on the basis of EOM organic N content and soluble, cellulose-, and lignin-like fractions. A decision tree based on these variables was constructed in order to easily attribute any EOM to 1 of the 6 classes.
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2009.08.025