Prediction of Leaf Area by A Non-destructive Method of Platanus Orientalis Tree

Platanus orientalis L. is one of the most popular cultivated forest trees in In Kurdistan Region of Iraq. The leaf area is considered as an important parameter in the majority of physiological studies including plant growth. The simplicity of making measurements, quickness, and non-destructivity of the plants are some of the merit uses of the leaf area in such purposes. The aim of the current research was to develop and validate an equation to predict the individual leaf area (LA) of Platanus orientalis L. The parameters used in this study included leaf length (L) and width (W) as well as some combinations of these variables of plane tree leave. The SPSS software package was used to develop seven different regression equations along with many measures of precision for testing the performance of the developed equations in predicting the response variable. At the beginning, a scatter diagram was done using the leaf area as dependent variable and each of the leaf parameters as independent variables. The purpose of such a diagram was to figure out the type of relationship between studied variables in order to determine the most appropriate transformed forms of both response variable and explanatory variables. 20 trees were randomly chosen from Erbil City. Out of seven regression equations developed the equation LA= 20.912199+0.408927*(L*W) was finally selected because of being the most appropriate one among the other different equations.