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    Advances in genetic mapping of Septoria nodorum blotch resistance in wheat and applications in resistance breeding

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    Author(s)
    Lin, Min
    Lillemo, Morten
    Language
    English
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    Abstract
    Septoria nodorum blotch (SNB) caused by the necrotrophic fungus Parastagonospora nodorum is an important wheat disease in many high rainfall areas across the world. It reduces both yield and grain quality by causing symptoms on wheat leaves and glumes, and can cause yield losses up to 30% under warm and humid conditions. This book chapter gives an update on the recent progress in genetic mapping of SNB resistance in wheat, with focus on adult plant leaf blotch and glume blotch resistance with relevance to resistance breeding. This is followed by a case study on the investigation of the naturally occurring P. nodorum population in Norway and mapping of resistance loci in relevant wheat germplasm using MAGIC populations and GWAS panels as well as how this information can be used to improve resistance breeding and disease management. In the end, some future perspectives of SNB resistance breeding is provided.
    URI
    https://library.oapen.org/handle/20.500.12657/61492
    Keywords
    wheat; septoria nodorum blotch; disease resistance; resistance breeding; genetic mapping
    DOI
    10.19103/AS.2021.0092.15
    ISBN
    9781786769589, 9781786769589
    Publisher
    Burleigh Dodds Science Publishing
    Publisher website
    https://bdspublishing.com/
    Publication date and place
    Cambridge, 2021
    Imprint
    Burleigh Dodds Science Publishing
    Series
    Burleigh Dodds Series in Agricultural Science,
    Classification
    Agronomy and crop production
    Sustainable agriculture
    Pest control / plant diseases
    Pages
    42
    Public remark
    Norwegian University of Life Sciences NMBU
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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