IDEAS home Printed from https://ideas.repec.org/a/zib/zbrfna/v3y2022i1p39-42.html
   My bibliography  Save this article

Correlation And Path Analysis Of Yield And Yield Attributing Characters In Rice Under Reproductive Drought Stress Condition

Author

Listed:
  • Pratit Khanal

    (Institute of Agriculture and Animal Science, Lamjung Campus)

  • Bigyan K.C.

    (Department of Plant Breeding, Post Graduate Program, Institute of Agriculture and Animal Science Tribhuvan University, Kirtipur, Kathmandu, Nepal)

  • Sagar Lamichhane

    (Institute of Agriculture and Animal Science, Lamjung Campus)

  • Nav Raj Adhikari

    (Institute of Agriculture and Animal Science, Lamjung Campus)

  • Subarna Sharma Acharya

    (Institute of Agriculture and Animal Science, Lamjung Campus)

  • Koshraj Upadhyay

    (Institute of Agriculture and Animal Science, Gauradaha Campus)

Abstract

A field screening of eight genotypes at farmer’s field of Sundarbazar, Lamjung in randomized complete block design with three replications was conducted to study the character association between yield and yield attributing traits of rice and their direct and indirect effect on grain yield under reproductive drought stress condition from June to November 2018. The analysis of variance revealed significant differences for all traits except plant height, which indicates existence of genetic variability, potential for selection and further improvement among all genotypes under study. Correlation and path analysis revealed that flag leaf area, chlorophyll content, days to heading and thousand grain weight showed significant and positive association as well as positive direct effect on yield of rice which means direct selection of these traits would be beneficial for the improvement of grain yield facilitating the selection and progress on breeding program.

Suggested Citation

  • Pratit Khanal & Bigyan K.C. & Sagar Lamichhane & Nav Raj Adhikari & Subarna Sharma Acharya & Koshraj Upadhyay, 2022. "Correlation And Path Analysis Of Yield And Yield Attributing Characters In Rice Under Reproductive Drought Stress Condition," Reviews in Food and Agriculture (RFNA), Zibeline International Publishing, vol. 3(1), pages 39-42, January.
    • Handle: RePEc:zib:zbrfna:v:3:y:2022:i:1:p:39-42
    DOI: 10.26480/rfna.01.2022.39.42
    as

    Download full text from publisher

    File URL: https://rfna.com.my/download/1277
    Download Restriction: no
    File URL: https://libkey.io/10.26480/rfna.01.2022.39.42?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
    ---><---

    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:zib:zbrfna:v:3:y:2022:i:1:p:39-42. 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: Zibeline International Publishing (email available below). General contact details of provider: https://rfna.com.my/ .

    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.