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    Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania

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    U18ProcAlabiUsingNothomNodev.pdf (2.799Mb)
    Date
    2018-06
    Author
    Alabi, T.
    Pypers, P.
    Chernet, M.
    Hauser, S.
    Kreye, C.
    Haertel, M.
    Type
    Poster
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Cassava (Manihot esculenta) is an important staple crop for over half a billion people in Africa yet current yield at farmers’ field is only 20% of the potential yield. The African Cassava Agronomy Initiative (ACAI) project is initiated to mitigate the yield gap through developing site-specific recommendations based on a demand-driven approach. The project responds to specific agronomy-related needs of partners already engaged in cassava dissemination and value chain activities in Nigeria and Tanzania. ACAI is developing site-specific recommendation, where processing geospatial information related to climate, soil and remote sensing data is crucial. We are using spatial multivariate analysis to delineate our partners’ operational area into homogeneous clusters to ensure the representativeness of trial sites and optimize the number of trial sites for maximum operational efficiency.
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/5516
    Non-IITA Authors ORCID
    Pieter Pypershttps://orcid.org/0000-0001-8913-0589
    Stefan Hauserhttps://orcid.org/0000-0002-6329-7783
    Christine Kreyehttps://orcid.org/0000-0001-6090-2856
    Michael Haertelhttps://orcid.org/0000-0002-0436-2725
    Research Themes
    NATURAL RESOURCE MANAGEMENT
    IITA Subjects
    Agronomy; Cassava; Natural Resource Management
    Agrovoc Terms
    Cassava; Agronomy; Nigeria; Tanzania
    Regions
    Africa; East Africa; West Africa
    Countries
    Nigeria; Tanzania
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