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作物学报 ›› 2017, Vol. 43 ›› Issue (09): 1300-1307.doi: 10.3724/SP.J.1006.2017.01300

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

贵州作物种质资源调查数据可视化研究

陈丽娜1,2,司海平3,方沩2,陈彦清2,曹永生2,*   

  1. 1商丘师范学院计算机与信息技术学院，河南商丘476000；2中国农业科学院作物科学研究所，北京100081；3河南农业大学信息与管理科学学院，河南郑州450002
  • 收稿日期:2016-11-09 修回日期:2017-04-20 出版日期:2017-09-12 网络出版日期:2017-04-27
  • 通讯作者: 曹永生，E-mail: caoyongsheng@caas.cn, Tel: 010-62186693
  • 基金资助:

    本研究由国家农作物种质资源平台(2005DKA21001)，河南省科技惠民计划项目(152207110002)和郑州市科技惠民计划项目(163PKJHM201)资助。

Visualization Study for Investigation Data of Crop Germplasm Resources in Guizhou Province

CHEN Li-Na1,2,SI Hai-Ping3,FANG Wei2,CHEN Yan-Qing2,CAO Yong-Sheng2,*   

  1. 1 Department of Computer and Information Technology, Shangqiu Normal College, Shangqiu 476000, China; 2 Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3 College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, China
  • Received:2016-11-09 Revised:2017-04-20 Published:2017-09-12 Published online:2017-04-27
  • Contact: Cao yongsheng，E-mail: caoyongsheng@caas.cn, Tel: 010-62186693
  • Supported by:

    This study was supported by the National Infrastructure for Crop Germplasm Resources (2005DKA21001), the Science and Technology Plan Project in Henan Province (152207110002), and the Science and Technology Plan Project in Zhengzhou City (163PKJHM201).

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摘要：

“贵州农业生物资源调查”项目产生了大量数据资料，采用有效的方法分析这些资料有利于全面了解当地生物资源的利用和保护情况，可为决策部门制定资源保护策略和进一步科学研究提供依据。分析了不同的可视化方法，针对以往调查数据研究结果呈现不直观等特点，本文采用Microsoft Excel、GIS和R多种手段对调查数据进行可视化研究，并分析了可视化的结果。试验结果表明，电子表格可做简单的统计分析；空间数据可视化方法可用于数据校验、显示种质资源富集程度；统计分析可视化方法整合了不同类型的数据，可用于挖掘出隐藏在数据中的信息。多种数据可视化手段可使数据及分析结果以更直观的形式呈现，有助于全面了解生物资源，促进资源充分利用。分析了作物种质资源调查过程中存在的问题，对进一步规范种质调查数据提出了建议。

关键词: 贵州, 作物种质资源, 可视化

Abstract:

The project of “Agro-biological Resources Investigation in Guizhou province” provided large amounts of data which should be analyzed by an effective method to better understand comprehensively the conservation and utilization of agriculture biological resources in Guizhou province, and provide basic information and scientific evidences for constituting conservation policy of biological resources and further scientific research. In view of the fact that previous investigation data research results were not intuitive, this paper used several visualization methods including Microsoft Excel, GIS, and R. The spreadsheet was used to simply analyze data, spatial data visualization method was used to validate data and indicate resources data richness, statistical analysis visualization method integrated different types of data and mined information from resources data. Using several visualization methods can make the data analysis results more intuitive, which is available to understand germplasm resources comprehensively and to promote fully utilization of germplasm resources. The existing problems in crop germplasm resources investigation and some suggestions for further standardizing resources investigation data were discussed.

Key words: Guizhou, Crop germplasm resources, Visualization

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