Assessment of genetic variability among groundnut accessions under natural rosette disease infestation in Malawi

    Mubai, N and MWololo, J and Sibiya, J and Musvosvi, C and Charlie, H and Munthali, W and Kachulu, L and Okori, P (2019) Assessment of genetic variability among groundnut accessions under natural rosette disease infestation in Malawi. African Journal of Rural Development, 4 (2). pp. 283-304. ISSN 2415-2838

    [img] PDF - Published Version
    Download (494kB)

    Abstract

    Groundnut production in East and South African region is low due to several constraints. Success in development of resilient varieties rides on genetic diversity in available germplasm for key traits in question. This study was undertaken to dissect the magnitude of variability among groundnut accessions. The experimental design was an alpha lattice design replicated thrice. Significant differences in yield traits were observed among the accessions. There was high phenotypic (PCV) and genotypic (GCV) coefficient of variation in most of the traits except for the number of primary branches and shelling percentage. A combination of high heritability and genetic advance was recorded for the number of secondary branches, height, seed yield and rosette incidence. This indicates that it is possible to carry out phenotypic selection based on the mean for successful improvement of yield and resistance to rosette disease.

    Item Type: Article
    Divisions: Research Program : East & Southern Africa
    CRP: UNSPECIFIED
    Uncontrolled Keywords: Genetic advance, Genetic variation, Groundnut, Heritability, Rosette disease
    Subjects: Mandate crops > Groundnut
    Others > Genetics and Genomics
    Depositing User: Mr Arun S
    Date Deposited: 17 Mar 2021 08:30
    Last Modified: 17 Mar 2021 08:30
    URI: http://oar.icrisat.org/id/eprint/11747
    Official URL:
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: This study was supported by the Alliance for a Green Revolution in Africa (AGRA) and the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) under the TL projects funded by the Bill & Melinda Gates Foundation (BMGF).
    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.