CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
       
    • CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Performance of cowpea varieties under Striga gesnerioides (Willd.) Vatke infestation using biplot analysis

    Thumbnail
    
    Authors
    Omoigui, L.O.
    Kamara, A.Y.
    Ajeigbe, Hakeem A.
    Akinwale, R.O.
    Timko, M.P.
    Oyekunle, M.
    Bello, L.L.
    Date
    2017-11
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Limited Access
    Metadata
    Show full item record
    Share
    Citation
    Omoigui, L.O., Kamara, A.Y., Ajeigbe, H.A., Akinwale, R.O., Timko, M.P., Oyekunle, M. & Bello, L.L. (2017). Performance of cowpea varieties under Striga gesnerioides (Willd.) Vatke infestation using biplot analysis. Euphytica, 213(11), 244.
    Permanent link to cite or share this item: http://hdl.handle.net/10568/89081
    DOI: http://dx.doi.org/10.1007/s10681-017-2034-x
    Abstract/Description
    Striga gesnerioides (Willd) Vatke, is a major destructive parasitic weed of cowpea (Vigna unguiculata (L.) Walp.) which causes substantial yield reduction in West and Central Africa. The presence of different virulent races within the parasite population contributes to significant genotype × environment interaction, and complicates breeding for durable resistance to Striga. A 3-year study was conducted at three locations in the dry savanna agro-ecology of Nigeria, where Striga gesnerioides is endemic. The primary objective of the study was to identify cowpea genotypes with high yield under Striga infestation and yield stability across test environments and to access suitability of the test environment. Data collected on grain yield and yield components were subjected to analysis of variance (ANOVA). Means from ANOVA were subjected to the genotype main effect plus genotype × environment (GGE) biplot analysis to examine the multi-environment trial data and rank genotypes according to the environments. Genotypes, environment, and genotypes × environment interaction mean squares were significant for grain yield and yield components, and number of emerged Striga plants. The environment accounted for 35.01%, whereas the genotype × environment interaction accounted for 9.10% of the variation in grain yield. The GGE biplot identified UAM09 1046-6-1 (V7), and UAM09 1046-6-2 (V8), as ideal genotypes suggesting that these genotypes performed relatively well in all study environments and could be regarded as adapted to a wide range of locations. Tilla was the most repeatable and ideal location for selecting widely adapted genotypes for resistance to S. gesnerioides.
    Notes
    Published online: 10 October 2017
    CGIAR Affiliations
    Grain Legumes; Maize; Water, Land and Ecosystems
    AGROVOC Keywords
    COWPEA; ANALYSIS; VIGNA UNGUICULATA; NIGERIA; STRIGA INFESTATION; GENOTYPES; BIPLOT ANALYSI; STRIGA GESNERIOIDES; GGE
    Subjects
    COWPEA; GENETIC IMPROVEMENT; GRAIN LEGUMES; PLANT GENETIC RESOURCES
    Countries
    NIGERIA
    Regions
    AFRICA; WEST AFRICA
    Investors/sponsors
    Kirkhouse Trust
    Collections
    • IITA Journal Articles [1862]

    AboutSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutSend Feedback