شیما عباسی-کرین - Department of Plant Genetics and Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, IRAN
قاسم کریم زاده - Department of Plant Genetics and Breeding, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.
میترا محمدی-بازرگانی - Agriculture Institute, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran.
علی مختصی بیدگلی - Department of Agronomy, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.

Leaf area (LA) is one of valuable parameters in plant physiological studies. Therefore, the use of a non-destructive, accurate and simple model to estimate LA is very important. This research aimed to develop a non-destructive model to estimate LA accurately in Epilobium species. To estimate LA, leaf length (L) and leaf width (W) of five Epilobium species were determined. Moreover, the actual leaf area, using leaf area meter was measured. Regression analysis of LA versus L, W and LW revealed several models to predict LA in Epilobium species. Out of the models, the best fitted and validated model which is recommended to estimate LA accurately in each species, was quadratic model based on two dimensions (L and W), including the E. algidum (LA = ۰.۱۲۶۴ + ۰.۶۵۶۲ (L×W) + ۰.۰۳۶۶ (L×W)۲), E. parviflorum (LA = – ۳.۱۴۴ + ۱.۳۲۳ (L×W) – ۰.۰۳۰ (L×W)۲(, E. sp. (LA = ۰.۴۲۳۶ + ۰.۳۰۳۳ (L×W) + ۰.۱۳۶۸ (L×W)۲), E. hirsutum (LA= ۲.۲۴۱۷ + ۰.۲۲۰۲ (L×W) + ۰.۰۰۲۹ (L×W)۲), and E. frigidum (LA = ۰.۲۱۱۹ + ۰.۴۱۶۲ (L×W) + ۰.۱۱۹۱ (L×W)۲), all with R۲ ≥ ۰.۸۰.

Epilobium, Leaf Area, Leaf length, Leaf width, Non-destructive, Quadratic regression model