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    Trait variation and genetic diversity in a banana genomic selection training population

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    U17ArtNyineTraitInthomNodev.pdf (818.1Kb)
    Date
    2017-06-06
    Author
    Nyine, M.
    Uwimana, B.
    Swennen, R.L.
    Batte, M.
    Brown, A.
    Christelova, P.
    Hribova, E.
    Lorenzen, J.H.
    Dolezel, Jaroslav
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Banana (Musa spp.) is an important crop in the African Great Lakes region in terms of income and food security, with the highest per capita consumption worldwide. Pests, diseases and climate change hamper sustainable production of bananas. New breeding tools with increased crossbreeding efficiency are being investigated to breed for resistant, high yielding hybrids of East African Highland banana (EAHB). These include genomic selection (GS), which will benefit breeding through increased genetic gain per unit time. Understanding trait variation and the correlation among economically important traits is an essential first step in the development and selection of suitable GS models for banana. In this study, we tested the hypothesis that trait variations in bananas are not affected by cross combination, cycle, field management and their interaction with genotype. A training population created using EAHB breeding material and its progeny was phenotyped in two contrasting conditions. A high level of correlation among vegetative and yield related traits was observed. Therefore, genomic selection models could be developed for traits that are easily measured. It is likely that the predictive ability of traits that are difficult to phenotype will be similar to less difficult traits they are highly correlated with. Genotype response to cycle and field management practices varied greatly with respect to traits. Yield related traits accounted for 31–35% of principal component variation under low and high input field management conditions. Resistance to Black Sigatoka was stable across cycles but varied under different field management depending on the genotype. The best cross combination was 1201K-1xSH3217 based on selection response (R) of hybrids. Genotyping using simple sequence repeat (SSR) markers revealed that the training population was genetically diverse, reflecting a complex pedigree background, which was mostly influenced by the male parents.
    https://doi.org/10.1371/journal.pone.0178734
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/1935
    Digital Object Identifier (DOI)
    https://doi.org/10.1371/journal.pone.0178734
    IITA Subjects
    Banana; Food Security; Plant Genetic Resources
    Agrovoc Terms
    Genetic Variation; Genetic Variation; Genomic Selection; East African Highland Banana; Traits Variation
    Regions
    Africa; East Africa
    Countries
    Uganda
    Journals
    PloS ONE
    Collections
    • Journal and Journal Articles5283
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