CHARACTERIZATION OF COMMON BEAN TYPES CV BAYOMEX USING AGRONOMIC DESCRIPTORS AND IMAGE ANALYSES OF SEED MORPHOLOGY

Abstract

Traditional discrimination and characterization of seeds is considered as a qualitative and very laborious method, which sometimes becomes complicated when similarity among germplasms is high. In order to facilitate this activity, a modified image processing system is described to complement discrimination of different common bean (Phaseolus vulgaris L.) types cv Bayomex. Computed seed features included area, perimeter, length, width, angle, elongation and factor form. Agronomic and image descriptors were then compared. It was concluded that only area, perimeter, length, width, and angle would have the potential for use as descriptors for characterization of common bean genotypes. Factor and cluster analysis were applied to visualize bean types differences and four interpretive groups were defined according to the variables included.