IDEAS home Printed from https://ideas.repec.org/a/aoj/agafsr/v6y2019i1p1-8id44.html
   My bibliography  Save this article

Multivariate Analysis of Genetic Variation in Rapeseed ( Brassica Napus L. )

Author

Listed:
  • Elora Parvin
  • Firoz Mahmud
  • Md. Shahidur Rashid Bhuiyan
  • Md. Maksudul Haque

Abstract

Designing breeding programs for rapeseed (Brassica napus L.) cultivars with developed seed and oil yields needs information about the genetic variability of characters. In this study, 40 rapeseed genotypes were evaluated for genetic variation and relationships between 12 agro-morphological characters. Brassica species represent a broad range of crops. This redirects the high degree of genetic diversity and allied phenotypic plasticity. Significant differences among the clusters were observed. The first two components with Eigen value were greater than unity contributed a total of 42.77% variation to the divergence. The genotypes were grouped into five clusters. Cluster V contained the maximum number of genotypes (11) and cluster III contained the lowest (4). The highest inter-cluster distance was found between cluster II and cluster V and the lowest between cluster II and cluster IV. The highest intra-cluster distance was noticed for cluster I and the lowest for cluster V. Considering diversity pattern and other agronomic performance lines Nap0837, Nap-0733-1, Nap-2066, Nap-9901, Nap-108 and BARI-8 could be considered apposite parents. This information is suitable for hybrid breeding and encouraging breeders to exchange their germplasm as to enlarge the genetic diversity of breeding accessions.

Suggested Citation

  • Elora Parvin & Firoz Mahmud & Md. Shahidur Rashid Bhuiyan & Md. Maksudul Haque, 2019. "Multivariate Analysis of Genetic Variation in Rapeseed ( Brassica Napus L. )," Agriculture and Food Sciences Research, Asian Online Journal Publishing Group, vol. 6(1), pages 1-8.
  • Handle: RePEc:aoj:agafsr:v:6:y:2019:i:1:p:1-8:id:44
    as

    Download full text from publisher

    File URL: http://www.asianonlinejournals.com/index.php/AESR/article/view/44/100
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agnieszka Łopatyńska & Joanna Wolko & Jan Bocianowski & Adrian Cyplik & Katarzyna Gacek, 2023. "Statistical Multivariate Methods for the Selection of High-Yielding Rapeseed Lines with Varied Seed Coat Color," Agriculture, MDPI, vol. 13(5), pages 1-13, April.

    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:aoj:agafsr:v:6:y:2019:i:1:p:1-8:id:44. 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: Sara Lim (email available below). General contact details of provider: http://asianonlinejournals.com/index.php/AESR/ .

    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.