New approach in decision support for technology outscaling in smallholder farming systems: The TAGMI ‘proof of concept’ Dr Jennie Barron ([email protected]) Stockholm Environment Institute (SEI) Challenge Programme Water and Food Volta Basin V1 project and Limpopo Basin L1 project
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Targeting Agricultural Water Management Interventions: the TAGMI Tool
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New approach in decision support for technology
outscaling in smallholder farming systems: The TAGMI ‘proof of concept’
TAGMI predictions match actual adoption rates for about 75% of the provinces
LESSONS FOR RESEARCH• There is opportunity for out-scaling of SWC ,
smallholder irrigation and small reservoirs but prediction strength is low
• Data on social-human layers are critical, but rarely available
• High agreement between factors affecting out-scaling across technologies, countries and basins
• The importance and benefit of investments in “Best Practice In Implementation” (‘Due diligence’ ) to achieve successful outscaling
TAGMI taken to practise: ‘doing research for development’• CPWF in Volta and Limpopo developed ‘proof of concept’ • Generic approach: easily done for other technologies
and scales• Spin-off in new Bayes model for shallow groundwater
irrigation N Ghana; AWM opportunities in Niger; livestock –fodder system improvements Volta-Niger
• What does it take to embed into decision support process?
www.seimapping.org/TAGMI
We thank all contributors: absent colleagues
farmers, boundary partners and participants in consultations and eventsVBDC and V1 colleagues, and LBDC and L1 colleagues
funders
Stockholm Environment Institute in partnership with WATERNET, University of Witwatersrand, International Water Management Institute (IWMI),
University of Ouagadougou, Institut National de l’Environnement et de Récherche Agricole (INERA),Kwame Nkrumah University of Science and Technology (KNUST),
Savanna Agricultural Research Institute (CSIR-SARI),