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    Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages

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    U17ArtMuthoniAccountingInthomNodev.pdf (4.227Mb)
    Date
    2017
    Author
    Muthoni, Francis K.
    Baijukya, Frederick P.
    Bekunda, Mateete A.
    Sseguya, H.
    Kimaro, Anthony A.
    Alabi, T.
    Mruma, S.
    Hoeschle-Zeledon, Irmgard
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    This paper generates an extrapolation suitability index (ESI) to guide scaling-out of improved maize varieties and inorganic fertilizers. The best-bet technology packages were selected based on yield gap data from trial sites in Tanzania. A modified extrapolation detection algorithm was used to generate maps on two types of dissimilarities between environmental conditions at the reference sites and the outlying projection domain. The two dissimilarity maps were intersected to generate ESI. Accounting for correlation structure among covariates improved estimate of risk of extrapolating technologies. The covariate that highly limited the suitability of specific technology package in each pixel was identified. The impact based spatial targeting index (IBSTI) identified zones that should be prioritized to maximize the potential impacts of scaling-out technology packages. The proposed indices will guide extension agencies in targeting technology packages to suitable environments with high potential impact to increase probability of adoption and reduce risk of failure.
    http://dx.doi.org/10.1080/10106049.2017.1404144
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/2435
    Digital Object Identifier (DOI)
    http://dx.doi.org/10.1080/10106049.2017.1404144
    IITA Subjects
    Agronomy; Food Security; Maize; Value Chains
    Agrovoc Terms
    Maize; Food Security; Sustainable Agriculture; Big Data; Novel Correlation; Priority Setting; Risk Of Failure; Spatial Targeting
    Regions
    Africa; East Africa
    Countries
    Tanzania
    Journals
    Geocarto International
    Collections
    • Journal and Journal Articles5283
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