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

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Title Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages
 
Creator Muthoni, Francis K.
Baijukya, Frederick P.
Bekunda, Mateete A.
Sseguya, H.
Kimaro, Anthony A.
Alabi, T.
Mruma, S.
Hoeschle-Zeledon, Irmgard
 
Subject maize
food security
sustainable agriculture
big data
novel correlation
priority setting
risk of failure
spatial targeting
 
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.
 
Date 2019-03-21
2018-01-08T09:46:08Z
2018-01-08T09:46:08Z
 
Type Journal Article
 
Identifier Muthoni, F.K., Baijukya, F., Bekunda, M., Sseguya, H., Kimaro, A., Alabi, T., ... and Hoeschle-Zeledon, I. 2017. Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages. Geocarto International, 1-23.
1010-6049
https://hdl.handle.net/10568/89935
https://doi.org/10.1080/10106049.2017.1404144
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format p. 368-390
application/pdf
 
Publisher Informa UK Limited
 
Source Geocarto International