IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0260971.html
   My bibliography  Save this article

Path analysis based on genetic association of yield components and insects pest in upland cotton varieties

Author

Listed:
  • Mussarat Shaheen
  • Hafiz Abdul Rauf
  • Muhammad Ahmed Taj
  • Muhammad Yousaf Ali
  • Muhammad Amjad Bashir
  • Sagheer Atta
  • Hasnain Farooq
  • Reem A Alajmi
  • Mohamed Hashem
  • Saad Alamri

Abstract

Gossypium hirsutum L. is also called upland cotton or Mexican cotton. It is the most widely cultivated species of cotton in the whole world. Globally, about 90% of all cotton production comes from the cultivars derived from this species. Some genetic parameters like monopodial branches per plant, sympodial branches per plant, sympodial branch length, bolls per plant, boll weight, sympo-boll distance, Ginning Out Turn%, staple length (rg = 0.9199**), and fiber strength along with seed cotton yield were evaluated for their potential utilization via selection in seed cotton yield improvement. Significant positive genetic correlations were estimated for monopodial branches per plant (rg = 0.9722**), sympodial branches per plant (rg = 0.7098**), sympodial branch length (rg = 0.617**), bolls per plant (rg = 0.8271**), boll weight (rg = 0.8065**), sympo-boll distance (rg = 0.6507**), Ginning Out Turn (GOT)% (rg = 0.7541**), staple length (rg = 0.9199**), and fiber strength (rg = 0.7534**) with seed cotton yield. A path analysis of all the yield traits under study revealed strong positive direct effects of monopodial branch length (1.1556), sympo-boll distance (0.8173) and staple length (0.7633), while plant height exerted a highly strong direct negative effect (-1.2096) on yield. It is concluded that a direct selection based on monopodial branch length and sympo-boll distance, and staple length is effective, whereas, monopodial branch length, and sympodial branch length are good selection indicators via bolls per plant for yield improvement in cotton.

Suggested Citation

  • Mussarat Shaheen & Hafiz Abdul Rauf & Muhammad Ahmed Taj & Muhammad Yousaf Ali & Muhammad Amjad Bashir & Sagheer Atta & Hasnain Farooq & Reem A Alajmi & Mohamed Hashem & Saad Alamri, 2021. "Path analysis based on genetic association of yield components and insects pest in upland cotton varieties," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-8, December.
  • Handle: RePEc:plo:pone00:0260971
    DOI: 10.1371/journal.pone.0260971
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0260971
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0260971&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0260971?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

    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:plo:pone00:0260971. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.