Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage

The heterogeneous and homogeneous growth (HmG) assumptions in an intensive tilapia Oreochromis niloticus pre-grow-out production were evaluated under the different stocking scenarios. Four models (von Bertalanffy, Logistic, Pütter, Gompertz) tested modified to include effect of density difference. Models with fitted using a nonlinear regression, while (HtG) parameterized quantile (0.05, 0.15, 0.25, 0.50, 0.75, 0.85, 0.95) regression. According goodness fit validation, that best HtG Logistic von respectively, which confirm existence dense dependency on performance. Density have inversely proportional relationship. Quantile regression provided greater efficiency predicting groups individuals population. results obtained can be used by aquaculture farmer select management strategies optimal transfer time for juveniles.