01875naa a2200253 a 450000100080000000500110000800800410001902400640006010000200012424500940014426000090023852010830024765000110133065000120134165000090135365300210136265300280138365300240141165300180143570000320145370000220148570000220150777300920152921546042023-06-26       2023    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.1590/1807-1929/agriambi.v25n1p3-92DOI1 aVIANA, J. H. M.  aNonlinear modeling of liming reaction and extractable base curves.h[electronic resource]  c2023  aModeling 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  aLiming  aCalagem  aSolo  aCorreção de pH  aFunções não lineares  aNonlinear functions  aPH correction1 aALBUQUERQUE FILHO, M. R. de1 aSANTOS, F. C. dos1 aLADEIRA, D. de A.  tRevista Brasileira de Engenharia Agrícola e Ambientalgv. 27, n. 10, p. 820-827, 2023.