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    Targeting improved partial resistance using yield-loss response curves for foliar diseases of wheat

    Access Status
    Open access via publisher
    Authors
    Shankar, Manisha
    Reeves, Karyn
    Bradley, Jason
    Varischetti, Ryan
    Platz, Greg
    Snyman, Lisle
    Hollaway, Grant
    Cook, Melissa
    Poole, Nick
    Wylie, Tracey
    Milgate, Andrew
    Cao, Zhanglong
    Loughman, Robert
    Date
    2020
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Shankar, M. and Reeves, K. and Bradley, J. and Varischetti, R. and Platz, G. and Snyman, L. and Hollaway, G. et al. 2020. Targeting improved partial resistance using yield-loss response curves for foliar diseases of wheat, in GRDC Update Papers of the GRDC Grains Research Update event, Feb 24-25 2020. Perth, WA: Grains Research & Development Corporation.
    Source Conference
    GRDC Update
    Additional URLs
    https://grdc.com.au/resources-and-publications/grdc-update-papers
    Faculty
    Faculty of Science and Engineering
    School
    School of Molecular and Life Sciences (MLS)
    URI
    http://hdl.handle.net/20.500.11937/78088
    Collection
    • Curtin Research Publications
    Abstract

    Key messages: Current resistance categories were well reflected in the yield responses observed for various wheat foliar diseases however, yield losses for particular resistance categories varied by disease and disease intensity. Disease expression increased with the susceptibility of varieties, resulting in correspondingly higher yield loss. Partially resistant varieties differed in the extent of their yield loss corresponding with lower disease expression. Partial resistance was effective in reducing losses from all diseases depending on the type and severity of disease and the yield potential. An online model has been developed so growers and consultants can make more informed decisions about variety and paddock selection by comparing yield responses to various resistance categories of individual diseases.

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