Traditional germplasm data organization methods, in which different tables are concerned different crops, cannot meet the need for germplasm synthetic data analysis. This paper raises a new organization method based on property-separation storage, in which all property data are put in the same level without affiliation. With this method, the data query procedures can be unified and of high efficiency. This method is flexible and extendable, which ensures that it can be applied in germplasm-related information system