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    Rapid phenotyping for identification of rice resistant varieties to Diopsis apicalis (Diptera: Diopsidae) Westwood

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    U19ArtRolandRapidInthomDev.pdf (683.8Kb)
    Date
    2019-08-18
    Author
    Roland, B.
    Bernard, G.C.
    Pierre-Louis, A.
    Togola, A.
    Ibnou, D.
    Noelle, N.M.
    Abdoulaye, S.P.
    Tamò, M.
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Nineteen rice varieties were assessed against D. apicalis, under partially controlled environment in a screen-covered cage at AfricaRice-Benin. 20, 30, and 50 couples of insects per square meter per cage were released 20 days after sowing in a complete randomized block design. In a first mock-trial (without shade above the cages), no dead heart was observed. The symptoms appeared in the second trial with the addition of some palm tree branches on top of the cages, showing the importance of shade and humidity in the biology of diopsids. This trial was repeated twice including three repetitions, during the rainy and dry seasons in South Benin. The study showed that the percentage of infested plants increased with the number of released insects. Rice varieties TOG5681, RAM55, NERICA1, NERICA4, NERICA8, and CG14 were the most resistant whereas IR47, IR64, ITA306, and WAB56-104 were the most susceptible. Densities 20 and 30 couples of insects per square meter were the best for an efficient screening. The screen-covered cage made with local materials is a convenient way for national programs in developing countries to screen at a lower cost. This method is easy to implement, fast and can allow simultaneous testing of large inbred rice populations.
    https://dx.doi.org/10.1080/23312025.2019.1649851
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/6348
    Non-IITA Authors ORCID
    Abou TOGOLAhttps://orcid.org/0000-0001-6155-8292
    Manuele Tamòhttps://orcid.org/0000-0002-5863-7421
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1080/23312025.2019.1649851
    Research Themes
    PLANT PRODUCTION & HEALTH
    IITA Subjects
    Pests Of Plants; Plant Health; Plant Production
    Agrovoc Terms
    Diptera; Diopsidae; Benin; Rice; Population; Phenotypes; Disease Resistance; Humidity
    Regions
    Africa; West Africa
    Countries
    Benin
    Journals
    Cogent Biology
    Collections
    • Journal and Journal Articles4835
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