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    Pre-Field Screening Protocols for Heat-Tolerant Mutants in Rice

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    Author(s)
    Sarsu, Fatma
    Ghanim, Abdelbagi M.A.
    Das, Priyanka
    Bahuguna, Rajeev N.
    Kusolwa, Paul Mbogo
    Ashraf, Muhammed
    Singla-Pareek, Sneh L.
    Pareek, Ashwani
    Forster, Brian P.
    Ingelbrecht, Ivan
    Language
    English
    Show full item record
    Abstract
    This open access book presents simple, robust pre-field screening protocols that allow plant breeders to screen for enhanced tolerance to heat stress in rice. Two critical heat-sensitive stages in the lifecycle of the rice crop are targeted – the seedling and flowering stages – with screening based on simple phenotypic responses. The protocols are based on the use of a hydroponics system and/or pot experiments in a glasshouse in combination with a controlled growth chamber where the heat stress treatment is applied. The protocols are designed to be effective, simple, reproducible and user-friendly. The protocols will enable plant breeders to effectively reduce the number of plants from a few thousands to less than 100 candidate individual mutants or lines in a greenhouse/growth chamber, which can then be used for further testing and validation in the field conditions. The methods can also be used to classify rice genotypes according to their heat tolerance characteristics. Thus, different types of heat stress tolerance mechanisms can be identified, presenting opportunities for pyramiding different (mutant) sources of heat stress tolerance.
    URI
    http://library.oapen.org/handle/20.500.12657/23000
    Keywords
    Life sciences; Plant breeding; Agriculture
    DOI
    10.1007/978-3-319-77338-4
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2018
    Classification
    Botany and plant sciences
    Agricultural science
    Pages
    39
    Rights
    https://creativecommons.org/licenses/by/3.0
    • 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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