IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/281636.html
   My bibliography  Save this article

Variation and Statistic Analysis of Agronomic Traits of Recombinant Inbred Lines of Brassica juncea L

Author

Listed:
  • TIAN,Entang
  • LI,Lufeng
  • JIA,Shiyan
  • LIN,Shuchun

Abstract

Correlation analysis and principal component analysis (PCA) were conducted for some agronomic traits of 139 recombinant inbred lines of Brassica juncea L. The results showed that under the environmental conditions in Guiyang, the flowering time, number of seeds per silique, plant height and thousand seed weight differed significantly among different lines. The results of principal component analysis showed that the lines could be classified into three groups. The results of Pearson correlation tests showed that the plant height was positively correlated with the flowering time (P<0.05), and the thousand seed weight was negatively correlated with the flowering time and number of seeds per silique (P<0.01).

Suggested Citation

  • TIAN,Entang & LI,Lufeng & JIA,Shiyan & LIN,Shuchun, 2018. "Variation and Statistic Analysis of Agronomic Traits of Recombinant Inbred Lines of Brassica juncea L," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 10(08), August.
  • Handle: RePEc:ags:asagre:281636
    DOI: 10.22004/ag.econ.281636
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/281636/files/Variation%20and%20Statistic%20Analysis%20of%20Agronomic%20Traits%20of%20Recombinant%20Inbred%20Lines%20of%20Brassica%20juncea%20L.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.281636?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:asagre:281636. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.