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Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (09): 1300-1307.doi: 10.3724/SP.J.1006.2017.01300

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

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 Online:2017-09-12 Published:2017-04-27
  • Contact: Cao yongsheng，E-mail: caoyongsheng@caas.cn, Tel: 010-62186693 E-mail:chenlina@cgris.org
  • 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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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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