Improved methods for predicting leaf area for (L. Vicia faba)
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Abstract
Plant Leaf area parameter is an important measure in ecological and physiological studies for its importance in the reception of light and photosynthesis up to plant production. The study was conducted in order to find mathematical model allows individual leaf area estimation of broad bean without destruction and be easy, accurate and inexpensive by measuring the leaf dimensions as length, width and producing combinations, (500) leaf with different dimensions were collected for two varieties of broad bean (local and sahar) cultivated under conditions of rain-fed in fields of Koya/Erbil. simple, multiple and exponential regression analysis were used by adoption of leaf dimensions as independent variables to choose the most accurate models (the highest coefficient of determination r2 and the less MSE). The results showed that the best with more accurate models were the mathematical model of the Linear regression LA = 0.04 + 0.45 (LW) that depend leaf length width Multiple as independent variable , mathematical model (LA = - 0.57 + 0.26 L2 + 0.19 W2) that depend on leaf square length and square width as independent variables, and the mathematical model of the exponential model (LA = 6.12e0.10 (L + W)) that depend sum of leaf length and width as independent variable, so using these mathematical models enable the researcher to estimate the leaf area for large numbers of broad bean leaves with high accuracy and without leaf destruction or use of expensive equipment.
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