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1.
Bioresour Technol ; 101(1): 157-64, 2010 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-19726180

RESUMEN

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.


Asunto(s)
Algoritmos , Minerales/química , Modelos Químicos , Nitrógeno/química , Compuestos Orgánicos/análisis , Compuestos Orgánicos/química , Simulación por Computador , Minerales/análisis , Nitrógeno/análisis
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