Golden seed breeding cloud platform for the management of crop breeding material and genealogical tracking

Abstract

Effectively identifying and analyzing materials are key procedures for breeding novel crop varieties because of the large quantities of materials and their combinations. This paper presents an approach for crop breeding material management, improvement of crop breeding efficiency, and genealogical tracking through the golden seed breeding cloud platform (GSBCP). The system was developed with Java on an Eclipse integrated development environment. To support a large number of users, security, credibility, and expandability, we selected a cloud-based architecture for the system, in which material attribute, pedigree, and trait information were customized by a template. An intelligent retrieval function was provided for the rapid search of breeding materials, and material trait information, historical data, genealogical information, trial data analysis results and material images can be retrieved in the system. For the analysis of the materials’ genealogy, the rules of genealogy were regulated. The genealogy of the breeding materials was automatically generated on the basis of these rules, which support many breeding methods, such as selfing, hybridization, double cross, three-way cross, and backcross. The developed system has been successfully applied in many Chinese breeding enterprises and scientific research institutions. The system provided a low-cost and highly efficient solution for crop material information management and genealogical tracking.