Genetic diversity and population structure of groundnut (Arachis hypogaea L.) accessions using phenotypic traits and SSR markers: implications for rust resistance breeding

    Daudi, H and Shimelis, H and Mathew, I and Oteng‐Frimpong, R and Ojiewo, C and Varshney, R K (2020) Genetic diversity and population structure of groundnut (Arachis hypogaea L.) accessions using phenotypic traits and SSR markers: implications for rust resistance breeding. Genetic Resources and Crop Evolution (TSI). ISSN 0925-9864

    [img] PDF - Published Version
    Download (1MB)

    Abstract

    Groundnut (Arachis hypogaea L.) is a multi-purpose legume serving millions of farmers and their value chain actors globally. Use of old poorperforming cultivars contributes to low yields (\1 t/ha) of groundnut in sub-Saharan Africa including Tanzania. The objectives of this study were to determine the extent of genetic variation among diverse groundnut collections using phenotypic traits and simple sequence repeat (SSR) markers to select distinct and complementary genotypes for breeding

    Item Type: Article
    Divisions: Research Program : East & Southern Africa
    Research Program : Genetic Gains
    CRP: UNSPECIFIED
    Uncontrolled Keywords: Agronomic traits, Gene diversity, Molecular variance, Polymorphism, Principal component analysis, Rust disease, SSR markers, Structure analysis, Tanzania
    Subjects: Others > Plant Breeding
    Mandate crops > Groundnut
    Others > Genetics and Genomics
    Depositing User: Mr Arun S
    Date Deposited: 13 Nov 2020 05:45
    Last Modified: 13 Nov 2020 05:45
    URI: http://oar.icrisat.org/id/eprint/11642
    Official URL: https://doi.org/10.1007/s10722-020-01007-1
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: The study was financially supported by the Tropical Legumes III Project funded by the Bill and Melinda Gates Foundation (BMGF) through the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Grant ID OPP1114827. We are grateful to Ms Anu Chitikineni from the Centre of Excellence in Genomics and Systems Biology at ICRISAT-India for laboratory analysis. Thanks are due to the Permanent Secretary at the Ministry of Agriculture and the Government of Tanzania for granting a study leave to the first author. Thanks to Tanzania Agricultural Research Institute- Naliendele and African Centre for Crop Improvement at the University of KwaZulu-Natal, South Africa, for research support.
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    Altmetric
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.