Individual-Based Modelling for Predicting Dry Matter Accumulation in Juveniles of Indian Olive Raised under Different Soil Treatments

Dry matter accumulation data for juvenile Indian Olive saplings was modelled using linear and non- regression models. The gathered bimonthly two years i.e., twelve readings. Linear, Quadratic, Power, Sigmoid, Exponential models performed quite well cumulative growth (Adj. R2 > 0.93). Sigmoid model (Chapman- Richard) demonstrated upper asymptotic values ranged between 179.96- 334.49 grams all treatments (T0 – T4) suggesting that olive responded positively to different soil treatments. Both, age size dependent relative rates (RGRs) manifested low decrease in RGR curve. Age- displayed a smooth decline function, indicating extended longevity. Low (along with Specific Leaf Area), is characteristic feature of slow growing evergreen species this trait observed too. Size- standardized revealed due the rate decline, T4 had superior (and maximum dry accumulation) followed by other Moreover, T0 sharpest lowest accumulation. Cross- validation parameters exhibited statistical stability.