Título:	Nonlinear modeling of liming reaction and extractable base curves.
Autoria:	VIANA, J. H. M. ALBUQUERQUE FILHO, M. R. de SANTOS, F. C. dos LADEIRA, D. de A.
Afiliação:	JOAO 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.
Ano de publicação:	2023
Referência:	Revista Brasileira de Engenharia Agrícola e Ambiental, v. 27, n. 10, p. 820-827, 2023.
Conteúdo:	Modeling 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
Thesagro:	Solo Calagem
NAL Thesaurus:	Liming
Palavras-chave:	Correção de pH Funções não lineares PH correction Nonlinear functions
Digital Object Identifier:	http://dx.doi.org/10.1590/1807-1929/agriambi.v25n1p3-9
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMS)