文献类型： 外文期刊

作者： Han, Yan-yun ¹ ; Wang, Kai-yi ¹ ; Liu, Zhong-qiang ¹ ; Pan, Shou-hui ¹ ; Zhao, Xiang-yu ¹ ; Wang, Shu-feng ¹ ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China; Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China; Minist Agr, Key Lab Agriinformat, Beijing, Peoples R China; Beijing Engn Res Ctr Agr Internet Things, Beijing, Peoples R China

关键词： Crop material information management; Genealogical tracking; Breeding informatization; Crop breeding information management system

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2018 年 152 卷

页码：

收录情况： SCI

摘要： 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.