Construction of an image-based germplasm data base for Phaseolus spp.

In this paper a hardware-software computer aided germplasm classification and evaluation system is described. Sample data (Phaseolus spp. seeds) were acquired into the system through a video camera. The resulting digital images were stored into an IPGRI-compliant database structure running in a graphical operating environment. The data base structure was based on a series of forms, with the capability of simultaneous display of image and data fields. Within the forms, an original system based on pop-up menus and icons for fast evaluation and classification of bean accessions was implemented. This gives the operator the possibility to choose among pre-stored standard sample images, the one which matches better the actual accession phenotype. Furthermore, prototype fundamental operating capabilities and possible implementations in the fields of genetics, breeding and germplasm storage and classification are discussed .