Analysis of a mutant population in groundnut

    Venkatesh, - and Motagi, B N and Nadaf, H L and Vijayakumar, A G and Bhat, R S (2014) Analysis of a mutant population in groundnut. Electronic Journal of Plant Breeding, 5 (4). pp. 828-833. ISSN 0975-928X

    [img] PDF - Published Version
    Restricted to ICRISAT users only
    Download (222kB) | Request a copy

    Abstract

    Fifty three mutants derived from Dharwad Early Runner (DER), a true breeding variant from a cross between two Valencia varieties of groundnut were evaluated for taxonomic, productivity and quality traits for assessing its suitability to ascertain marker-trait association. Mutants were confirmed for subspecific changes. Sixteen independent mutants shared common taxonomic shift from DER type to that of ssp. hypogaea var. hypogaea. Seventeen and nine mutants showed taxonomic shift to ssp. fastigiata var. fastigiata and ssp. fastigiata var. vulgaris, respectively. Four mutants had a shift from var. fastigiata to var. vulgaris. Significant shifts both in positive and negative direction were observed for most of the productivity and quality traits along with resistance to late leaf spot and rust. Since these mutants are derived from a common source (Dharwad Early Runner), those contrasting for any trait are expected to differ for a small genomic region. Role of transposons being significant in groundnut mutations, genotyping such mutants with transposon-specific markers might reveal marker-trait associations useful for groundnut improvement.

    Item Type: Article
    Divisions: RP-Grain Legumes
    CRP: CGIAR Research Program on Grain Legumes
    Uncontrolled Keywords: Groundnut, induced mutants, taxonomic and productivity traits, marker-trait association
    Subjects: Mandate crops > Groundnut
    Depositing User: Mr Ramesh K
    Date Deposited: 10 Jan 2017 06:17
    Last Modified: 10 Jan 2017 06:32
    URI: http://oar.icrisat.org/id/eprint/9855
    Official URL: http://ejplantbreeding.com/index.php?journal=EJPB&...
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: UNSPECIFIED
    Links:
    View Statistics

    Actions (login required)

    View Item View Item
    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.