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    Genetic diversity and population structure of maize inbred lines with varying levels of resistance to striga hermonthica using agronomic trait-based and SNP markers

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    Journal Article (3.985Mb)
    Date
    2020
    Author
    Stanley, A.
    Menkir, A.
    Agre, P.
    Ifie, B.
    Tongoona, P.
    Unachukwu, N.
    Meseka, S.
    Mengesha Abera, W.
    Gedil, M.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract
    Striga hermonthica is a serious biotic stress limiting maize production in sub-Saharan Africa. The limited information on the patterns of genetic diversity among maize inbred lines derived from source germplasm with mixed genetic backgrounds limits the development of inbred lines, hybrids, and synthetics with durable resistance to S. hermonthica. This study was conducted to assess the level of genetic diversity in a panel of 150 diverse maize inbred lines using agronomic and molecular data and also to infer the population structure among the inbred lines. Ten Striga-resistance-related traits were used for the phenotypic characterization, and 16,735 high-quality single-nucleotide polymorphisms (SNPs), identified by genotyping-by-sequencing (GBS), were used for molecular diversity. The phenotypic and molecular hierarchical cluster analyses grouped the inbred lines into five clusters, respectively. However, the grouping patterns between the phenotypic and molecular hierarchical cluster analyses were inconsistent due to non-overlapping information between the phenotypic and molecular data. The correlation between the phenotypic and molecular diversity matrices was very low (0.001), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and molecular diversity analyses. The joint phenotypic and genotypic diversity matrices grouped the inbred lines into three groups based on their reaction patterns to S. hermonthica, and this was able to exploit a broad estimate of the actual diversity among the inbred lines. The joint analysis shows an invaluable insight for measuring genetic diversity in the evaluated materials. The result indicates that wide genetic variability exists among the inbred lines and that the joint diversity analysis can be utilized to reliably assign the inbred lines into heterotic groups and also to enhance the level of resistance to Striga in new maize varieties.
    https://dx.doi.org/10.3390/plants9091223
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7017
    IITA Authors ORCID
    Abebe Menkirhttps://orcid.org/0000-0002-5907-9177
    Paterne AGREhttps://orcid.org/0000-0003-1231-2530
    SILVESTRO MESEKAhttps://orcid.org/0000-0003-1004-2450
    Wende Mengeshahttps://orcid.org/0000-0002-2239-7323
    Melaku Gedilhttps://orcid.org/0000-0002-6258-6014
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.3390/plants9091223
    Research Themes
    Biotech and Plant Breeding
    IITA Subjects
    Agronomy; Disease Control; Food Security; Genetic Improvement; Maize; Plant Breeding; Plant Diseases; Plant Production; Smallholder Farmers
    Agrovoc Terms
    Genetic Diversity; Population Structure; Maize; Marker Assisted Selection; Striga Hermonthica; Subsaharan Africa; Inbred Lines
    Regions
    Africa; West Africa
    Countries
    Nigeria
    Hubs
    Headquarters and Western Africa Hub
    Journals
    Plants
    Collections
    • Journal and Journal Articles4127
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