Quantitative Evaluation of Soybean (Glycine max L. Merr.) Leaflet Shape by Principal Component Scores Based on Elliptic Fourier Descriptor

摘要: Leaflet shape of thirty-nine soybean cultivars/strains selected to cover the possible diversity leaf shape, was quantitatively evaluated by principal components scores based on elliptic Fourier descriptor contours. After central leaflets fully expanded compound-leaves were videotaped, binary images obtained from those video image processing. Then, closed contour each leaflet extracted and chain-coded Because first twenty harmonics could sufficiently represent contours, 77 coefficients calculated for contour. standardized so that invariant size, rotation, shift chain-code starting-point any The component analysis about coefficients, showed cumulative contribution at fifth 96 o/o' Moreover, effect clarified drawing contours using inversely estimated under some typical values scores. Consequently, it indicated gave us powerful quantitative measures evaluate shape. variance multiple comparison genotypic differences first, second significantly large. variations con-tinuous, effects polygenes (size-invariant) also suggested.