Leaf Area Prediction Model for Summer Snowflake (Leucojum aestivum L.)

In a previous study, we found a positive and significant correlation between leaf number per plant and bulb yield in Leucojum aestivum. In the present study, to develop a leaf area prediction model was aimed for this plant. To achieve this objective, a total of 200 leaves were selected randomly from Leucojum aestivum plants cultivated in experimental area of Black Sea Agricultural Research Institute, Turkey. Leaf width, length and leaf area were measured. The actual leaf area of the plant was measured by PLACOM Digital Planimeter and multiple regression analysis with Excel 7.0 was performed. The leaf area model developed was LA = (-5.902) + (-4.12xL) + (0.19xL super(2)) + [-4.8*(LxW super(2))] + [0.201x (L super(2)xW super(2))] + [-0.42x (L super(2)xW)] + [10.65 x (LxW) where LA is leaf area, L is leaf length, W is leaf width. R super(2) value (0.97) and standard error were found to be significant at the p