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The objective of this study was to test different models for fitting site index curves and evaluat the Clutter model for predicting Pinus taeda growth and yield in the northern State of Santa Catarina. The dominant height data were obtained from 216 plots measured in 2009, with an area of 400 m². To fit the Clutter model we used data from permanent plots, conducted between 2004 and 2008 in areas aged between 5 and 34 years. The coefficient of determination (R²adj), standard error of estimate (Syx), standard error of estimate in percentage (Syx%) and residual percentage distribution were the statistics used to select the best model. The Silva-Bailey model was the most appropriated to represent site index curves, while the Clutter model performed well for estimating the growth and yield (m³.ha-1), from a statistical and biological point of view.