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    Variability assessment of aromatic and fine rice germplasm in Bangladesh based on quantitative traits

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    Authors
    Islam, M.Z.
    Khalequzzaman, M.
    Bashar, Khairul
    Ivy, N.A.
    Haque, M.M.
    Mian, M. A. K.
    Date Issued
    2016
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Islam, M. Z.; Khalequzzaman, M.; Bashar, Khairul; Ivy, N. A.; Haque, M. M.; Mian, M. A. K.. 2016. Variability assessment of aromatic and fine rice germplasm in Bangladesh based on quantitative traits . The Scientific World Journal 1-14 p.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/76729
    DOI: https://doi.org/10.1155/2016/2796720
    Abstract/Description
    The study was conducted to investigate genetic variability among 113 aromatic and fine local rice genotypes of which five were exotic in origin. The test genotypes were evaluated for 19 growth traits, yield components, and yield. All the quantitative traits varied significantly among the test genotypes. High heritability along with high genetic advance was observed for flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000 grain weight. Such findings suggested preponderance of additive gene action in gene expression for these characters. Grain yield was significantly and positively correlated with days to flowering, days to maturity, panicle length, filled grains per panicle, and 1000 grain weight. According to D2 cluster analysis, 113 test genotypes formed 10 clusters. Selection of parents from the clusters V and X followed by hybridization would possibly result in desirable heterosis for the development of heterotic rice hybrids. Finally, molecular characterizations of the studied germplasm are required for high resolution QTL mapping and validating the presence of candidate genes responsible for valuable characters.
    CGIAR Author ORCID iDs
    Khairul Basharhttps://orcid.org/0000-0002-5512-4452
    AGROVOC Keywords
    oryza sativa; genotypes; yield; quantitative trait loci; rice; plant breeding; varieties; genetic variation; genotipos; rendimiento; loci de rasgos cuantitativos; fitomejoramiento; variedades; variación genética; bangladesh
    Subjects
    GENETIC RESOURCES;
    Countries
    Bangladesh
    Regions
    Asia; Southern Asia
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    • CIAT Articles in Journals [2636]

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