The China Oil Plant Species (COPS) Database: A Comprehensive Web-Based Database and Informatics System Providing Ecological and Chemical Traits of Oil Plants in China

被引:2
|
作者
He, Zhenxiang [1 ]
Shi, Shidong [1 ]
Hu, Yumian [2 ]
Zhang, Liangbo [3 ]
Fu, Jie [4 ]
机构
[1] Nanjing Univ, Sch Life Sci, Nanjing 210093, Jiangsu, Peoples R China
[2] Univ British Columbia, Dept Stat, Vancouver, BC V6T 1Z4, Canada
[3] Hunan Acad Forestry, Changsha 410004, Hunan, Peoples R China
[4] Auburn Univ, Dept Civil Engn, Environm Engn Program, Auburn, AL 36839 USA
来源
VEGETOS | 2013年 / 26卷 / 02期
关键词
oil plants; vegetable oil; database; ASP; oil content; fatty acid content; ISCHEMIC-HEART-DISEASE; FATTY-ACIDS; FACTOR-VII; BIODIESEL; RATS;
D O I
10.5958/j.2229-4473.26.2.048
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The China Oil Plant Species (COPS) database is the first to provide comprehensive and systematic web-based classification, search and selection under given criteria of oil plants distributed in China, covering 1409 different species belonging to 139 families in total. The web-based database is constructed on the basis of experimental data and related information from authoritative books and academic journals, using ASP as execution environment with 7 different functions, including data input, multiple searching, statistics, etc. Users of the platform can conveniently acquire abundant information on ecological and biochemical traits of oil plants in China, including basic category, classification, florescence and maturity period, geographical distribution, elevation, climate and terrain of growth, oil content, fatty acid composition and content, besides the related statistical data. The database will be of great value in studying the present situation of utilization of oil plants and the future exploitation of new species adapted in given environment in China.
引用
收藏
页码:15 / 22
页数:8
相关论文
共 2 条
  • [1] The China Plant Trait Database: toward a comprehensive regional compilation of functional traits for land plants
    Wang, Han
    Harrison, Sandy P.
    Prentice, Iain C.
    Yang, Yanzheng
    Bai, Fan
    Togashi, Henrique F.
    Wang, Meng
    Zhou, Shuangxi
    Ni, Jian
    ECOLOGY, 2018, 99 (02) : 500 - 500
  • [2] The Arabidopsis Information Resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant
    Huala, E
    Dickerman, AW
    Garcia-Hernandez, M
    Weems, D
    Reiser, L
    LaFond, F
    Hanley, D
    Kiphart, D
    Zhuang, MZ
    Huang, W
    Mueller, LA
    Bhattacharyya, D
    Bhaya, D
    Sobral, BW
    Beavis, W
    Meinke, DW
    Town, CD
    Somerville, C
    Rhee, SY
    NUCLEIC ACIDS RESEARCH, 2001, 29 (01) : 102 - 105