IDEAS home Printed from https://ideas.repec.org/a/caa/jnlcjg/v60y2024i3id10-2024-cjgpb.html
   My bibliography  Save this article

Exploring potato diversity: A comprehensive genetic and phenotypic analysis of quantitative and qualitative traits

Author

Listed:
  • Tasnim Khandaker Samiha

    (Department of Mathematics and Natural Sciences, BRAC University, Mohakhali, Dhaka, Bangladesh)

  • Md Ataur Rahman

    (Advanced Seed Research and Biotech Centre, ACI Limited, Dhaka, Bangladesh)

  • Saiful Islam

    (Advanced Seed Research and Biotech Centre, ACI Limited, Dhaka, Bangladesh
    National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, P.R. China)

  • Nusrat Jalal

    (Department of Mathematics and Natural Sciences, BRAC University, Mohakhali, Dhaka, Bangladesh)

  • Aparna Islam

    (Department of Mathematics and Natural Sciences, BRAC University, Mohakhali, Dhaka, Bangladesh)

  • Abu Shamim Mohammad Nahiyan

Abstract

For sustainable breeding in potato, a better understanding of genetic diversity within germplasm banks for sustainable breeding is needed. This study comprehensively characterised the molecular and phenotypic traits of 62 potato accessions, including advanced clones and indigenous potato varieties from Advanced Chemical Industries Limited (ACI Ltd.), Bangladesh, and 8 varieties from the Bangladesh Agricultural Research Institute (BARI). By using 9 SSR markers and 13 morphological traits, including both quantitative and qualitative traits, we observed correlation coefficients ranging from -0.3 to 0.7 for 8 quantitative traits, and Pearson's chi-square (χ2 value) ranging from 24.3 to 135.4 for 5 qualitative characteristics. Molecular analyses identified 46 unique alleles, with 93.5% polymorphism. The markers STM0031 and STM1016 had the highest PIC value of 0.9. Genetic parameters for SSR markers included effective number of alleles per locus (Ne) = 5.6, unbiased expected heterozygosity (uh) = 0.8, diversity (h) = 0.8 and Shannon's information index (I) = 1.8. Jaccard's similarity coefficients ranged from 0.2 to 0.8, representing significant diversity. Cluster analysis, using unweighted pair-group method with arithmetic average (UPGMA), grouped the accessions into five clusters based on SSR profiles. An association was foud between the marker STM0031 and two traits: the number of tubers per hill and the content of reducing sugars in the tubers. This study provides information on genetic diversity and marker efficacy. It will guide future breeding programmes towards the development of high-yielding and industrially valuable potato varieties.

Suggested Citation

  • Tasnim Khandaker Samiha & Md Ataur Rahman & Saiful Islam & Nusrat Jalal & Aparna Islam & Abu Shamim Mohammad Nahiyan, 2024. "Exploring potato diversity: A comprehensive genetic and phenotypic analysis of quantitative and qualitative traits," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 60(3), pages 126-135.
    • Handle: RePEc:caa:jnlcjg:v:60:y:2024:i:3:id:10-2024-cjgpb
    DOI: 10.17221/10/2024-CJGPB
    as

    Download full text from publisher

    File URL: http://cjgpb.agriculturejournals.cz/doi/10.17221/10/2024-CJGPB.html
    Download Restriction: free of charge
    File URL: http://cjgpb.agriculturejournals.cz/doi/10.17221/10/2024-CJGPB.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/10/2024-CJGPB?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Asim Mehmood & Peter M. Dracatos & Linta Maqsood & Qudsia Yousafi & Abrar Hussain & Muhammad J. Jaskani & Muhammad W. Sajid & Muhammad S. Haider & Muhammad M. Hussain, 2023. "Genetic Variability and Population Structure of Pakistani Potato Genotypes Using Retrotransposon-Based Markers," Agriculture, MDPI, vol. 13(1), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:caa:jnlcjg:v:preprint:id:10-2024-cjgpb is not listed on IDEAS
    2. Edyta Paczos-Grzęda & Volker Mohler & Sylwia Sowa, 2023. "Germplasm Resources Exploration and Genetic Breeding of Crops," Agriculture, MDPI, vol. 13(12), pages 1-4, December.

    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:caa:jnlcjg:v:60:y:2024:i:3:id:10-2024-cjgpb. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.