United States Agency for International Developmen

Bekunda, Mateete A.

Hoeschle-Zeledon, Irmgard

Muthoni, Francis K.

Sseguya, H.

CGSpace

GIS Generated Recommendation Domains for scaling crop varieties in Tanzania Utility of the legacy product The framework is a spatial targeting tool for matching technologiesto suitable bio-socio-economic environments to: Enhance adoption of technologies Enhance efficient allocation of limited resources Reduce risks of failure Guiding extension agencies to formulate evidence based policies forscaling sustainable intensification (S.I.) technologies Ex-ante estimation of potential impact of scaling interventionIntroducing the legacy product Sections of landscape with similar biophysical and socio-economiccharacteristics are referred to as recommendation domains Scaling technologies in sites with similar bio-socio-economiccharacteristics enhances the potential of adoption We present a geospatial framework comprising of harmonisedtools for identifying recommendation domains for crop varieties: Kmeans clustering algorithm in R used to delineate homogenouszones from biophysical & socio-economic gridded layers Critical ecosystems (nature reserves & wetlands) masked fromgenerated zones to maintain biodiversity & ecosystem services An Impact Based Spatial Targeting Index (IBSTI) for priority settingin scaling interventions Suitability of candidate crop varieties in generated zonesdetermined using extrapolation Detection toolPicturesKey partners The product was developed by Africa RISING-NAFAKA partnershipproject in Tanzania that is led by IITA. Other CRP partners involves indesign or publication of the product include CIAT and IFPRI.This document is licensed for use under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International LicenseNovember 2016Who is the legacy product useful for? Extension & development agents (including CRPs) interested inscaling technologiesResults and outputsFigure 1: Generated recommendation domains in Feed the Futurezone in Tanzania. The relatively homogenous zones could be targetedfor scaling different sustainable intensification technologiesFigure 2. Suitability gradient  for SC719 maize variety Key contactFrancis Kamau Muthoni: f.muthoni@cgiar.orgHow does it work? Freely available gridded bio-socioeconomic layers processed &analyzed using geostatistical algorithms programmed in RFrancis Kamau Muthoni , Haroon Sseguya, Mateete Bekunda, Irmgard Hoeschle-Zeledon International Institute of Tropical  Agriculture *Corresponding author: f.muthoni@cgiar.org

GIS generated recommendation domains for scaling crop varieties in Tanzania

https://cgspace.cgiar.org/bitstream/handle/10568/78113/AR_poster_muthoni_nov2016.pdf?sequence=1&isAllowed=y

GIS generated recommendation domains for scaling crop varieties in Tanzania

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