Intelligent upgrading of plant breeding: Decision support tools in the golden seed breeding cloud platform
文献类型： 外文期刊
作者： Zhao, Xiangyu 1 ; Pan, Shouhui 1 ; Liu, Zhongqiang 1 ; Han, Yanyun 1 ; Zhang, Qi 1 ; Wang, Kaiyi 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, 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： Breeding decision support system; Plant breeding; Breeding informationization; Intelligent breeding
期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：6.757； 五年影响因子：6.817 ）
ISSN： 0168-1699
年卷期： 2022 年 194 卷
页码：
收录情况： SCI
摘要： Plant breeding is an effective guarantee of agriculture production and food security, whereas information technologies are effective ways to promote plant variety improvement. Although breeding information technologies provide a convenient and scientific means for breeding, it also leads to the problem of massive data processing with multidimensional breeding data in multiple granularities across generations. Therefore, decision support tools that help breeders extract relevant and valuable information are necessary and important. This paper introduces the decision support tools of the golden seed breeding cloud platform at three levels: (i) graphical user interfaces; (ii) statistical tools; and (iii) intelligent decision support tools. The advantages have effectively improved the breeding efficiency as well as the data management and application capabilities in more than 150 breeding institutions in China. The successful application of our system confirms the effectiveness of our work and provides data and support for future research.
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