Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154604
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dc.contributor.authorVIANA, J. H. M.
dc.contributor.authorALBUQUERQUE FILHO, M. R. de
dc.contributor.authorSANTOS, F. C. dos
dc.contributor.authorLADEIRA, D. de A.
dc.date.accessioned2023-06-26T16:36:27Z-
dc.date.available2023-06-26T16:36:27Z-
dc.date.created2023-06-26
dc.date.issued2023
dc.identifier.citationRevista Brasileira de Engenharia Agrícola e Ambiental, v. 27, n. 10, p. 820-827, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1154604-
dc.descriptionModeling the response of soils to liming is important for understanding neutralization reactions and predicting lime residual effects. Models based on simple or quadratic polynomial equations are the most used due to their simplicity and ease of fitting; however, they fail to reproduce a realistic soil response to liming, indicating a decrease in pH as the lime dose is increased after reaching a maximum point. Thus, several nonlinear functions were tested and compared to polynomial models, using a dataset from a liming test conducted on a sandy clay loam soil in a farm. The best-fitting models for pH data were the Mitscherlich, three-parameter logistic, and MorganMercer-Flodin models. The best-fitting models for exchangeable Ca+2 + Mg+2 data were Skaggs et al., Gompertz, and Morgan- Mercer-Flodin. The use of the proposed T index, which ranks models based on their residual standard error and Akaike information criterion values, combined with constraints on extrapolation values, was useful for selecting models that are statistically robust and empirically coherent
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCorreção de pH
dc.subjectFunções não lineares
dc.subjectPH correction
dc.subjectNonlinear functions
dc.titleNonlinear modeling of liming reaction and extractable base curves.
dc.typeArtigo de periódico
dc.subject.thesagroSolo
dc.subject.thesagroCalagem
dc.subject.nalthesaurusLiming
riaa.ainfo.id1154604
riaa.ainfo.lastupdate2023-06-26
dc.identifier.doihttp://dx.doi.org/10.1590/1807-1929/agriambi.v25n1p3-9
dc.contributor.institutionJOAO HERBERT MOREIRA VIANA, CNPMS; MANOEL RICARDO DE ALBUQUERQUE FILHO, CNPMS; FLAVIA CRISTINA DOS SANTOS, CNPMS; DANIELA DE A. LADEIRA, Universidade Federal de São João del-Rei.
Appears in Collections:Artigo em periódico indexado (CNPMS)

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