Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/979454
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dc.contributor.authorNASCIMENTO, A. F. dopt_BR
dc.contributor.authorMENDONÇA, E. de S.pt_BR
dc.contributor.authorLEITE, L. F. C.pt_BR
dc.contributor.authorSCHOLBERG, J.pt_BR
dc.contributor.authorNEVES, J. C. L.pt_BR
dc.date.accessioned2014-02-11T11:11:11Zpt_BR
dc.date.available2014-02-11T11:11:11Zpt_BR
dc.date.created2014-02-11pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationScientia Agricola, Piracicaba, v. 69, n. 6, p. 393-401, Nov./Dec. 2012.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/979454pt_BR
dc.descriptionInsight of nutrient release patterns associated with the decomposition of plant residues is important for their effective use as a green manure in food production systems. Thus, this study aimed to evaluate the ability of the Century, APSIM and NDICEA simulation models for predicting the decomposition and N mineralization of crop residues in the tropical Atlantic forest biome, Brazil. The simulation models were calibrated based on actual decomposition and N mineralization rates of three types of crop residues with different chemical and biochemical composition. The models were also validated for different pedo-climatic conditions and crop residues conditions. In general, the accuracy of decomposition and N mineralization improved after calibration. Overall RMSE values for the decomposition and N mineralization of the crop materials varied from 7.4 to 64.6 % before models calibration compared to 3.7 to 16.3 % after calibration. Therefore, adequate calibration of the models is indispensable for use them under humid tropical conditions. The NDICEA model generally outperformed the other models. However, the decomposition and N mineralization was not very accurate during the first 30 days of incubation, especially for easily decomposable crop residues. An additional model variable may be required to capture initial microbiological growth as affected by the moisture dynamics of the residues, as is the case in surface residues decomposition modelspt_BR
dc.language.isoengpt_BR
dc.rightsopenAccesseng
dc.subjectModelingpt_BR
dc.subjectNutrient cyclingpt_BR
dc.subjectOrganic agriculturept_BR
dc.titleCalibration and validation of models for short-term decomposition and N mineralization.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2018-02-01T11:11:11Zpt_BR
dc.subject.nalthesaurussoil organic matterpt_BR
riaa.ainfo.id979454pt_BR
riaa.ainfo.lastupdate2018-02-01 -02:00:00pt_BR
dc.identifier.doihttps://doi.org/10.1590/S0103-90162012000600008eng
dc.contributor.institutionALEXANDRE FERREIRA DO NASCIMENTO, CNPSpt_BR
dc.contributor.institutionEDUARDO DE SÁ MENDONÇA, UFV/UFESeng
dc.contributor.institutionLUIZ FERNANDO CARVALHO LEITE, CPAMNeng
dc.contributor.institutionJOHANNES SCHOLBERG, University of Wageningeneng
dc.contributor.institutionJULIO CESAR LIMA NEVES, UFV.eng
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