Search

The present study used fractal analysis for soybean leaves characterization (Glycine max (L.) Merr), Caro and Onix genotypes. The box-counting method was used to find the fractal dimensions of leaf shape in the two genotypes. The fractal dimensions were D = 1.627 at the Caro genotype, and respectively D = 1.509 at the Onix genotype. In the case of Caro genotype, correlation analysis showed average correlations between fractal dimension (D) and leaf width (W), r = 0.728, respectively between D and scan leaf area (SLA), r = 0.778 and low intensity correlations between D and perimeter of the leaves (Per), r = 0.624, respectively between D and the leaf length (L), r = 0.484. In the case of Onix genotype, high correlations were found between D and SLA (r = 0.862), between D and W (r = 0.812); average correlations between D and Per (r = 0.766), and respectively low correlations between D and L (r = 0.685). Based on D values, SLA prediction was possible under conditions of R² = 0.631, p << 0.001 for Caro genotype, and R² = 0.812, p << 0.001 respectively for Onix genotype. [ABSTRACT FROM AUTHOR]

The present study aimed at determining the foliar surface in three soybean genotypes (Glycine max (L.) Merr.) by non-destructive MLA method (measured leaf area). Were considered a relationship of type MLA = L×W×CF between leaf parameters, as length (L) and width (W), and a surface constant as correction factor (CF). The optimum CF value influences the accuracy of foliar surface determination. The CF values for the three genotypes were determined when the minimum error (ME) between scanned leaf area (SLA) and measured leaf area (MLA) was obtained. For Caro genotype, MLA = 25.357cm², under conditions of CF = 0.31, RMSE = 1.08798. For Felix genotype, MLA = 23.075 cm², in conditions of CF = 0.32, RMSE = 1.06757, and for Onix genotype, MLA = 20.751 cm², in conditions of CF = 0.31, RMSE = 1.21283. [ABSTRACT FROM AUTHOR]