📖 ABSTRACT/OVERVIEW
The persistent gap between agronomically effective horticultural technologies developed at Nigerian research stations and their adoption by smallholder farmers reflects fundamental weaknesses in existing technology transfer models. Current linear research-extension-farmer models are poorly adapted to the heterogeneous agroecological, social, and market contexts across Nigeria's six geopolitical zones. This dissertation designs, operationalizes, and evaluates a multi-zonal adaptive technology transfer model for scaling improved horticultural practices, grounded in innovation systems theory, participatory action research, and diffusion of innovation frameworks. The model was implemented across six demonstration hubs, one per geopolitical zone, over a 30-month period, targeting improved tomato variety adoption, drip irrigation, and integrated pest management. Outcome evaluation used a quasi-experimental pre-post design with treatment and comparison groups across 480 smallholder farmers. Technology adoption rates, productivity changes, income impacts, and knowledge transfer sustainability were measured. The model incorporates farmer-to-farmer peer learning, digital extension through WhatsApp-based advisory groups, and embedded input dealer engagement as structural innovation components. Results indicate significantly higher adoption rates (48% treatment vs 12% comparison) and greater productivity gains across all zones where the adaptive model was implemented. The study contributes a replicable, evidence-based technology transfer architecture for national horticultural scaling programs in Nigeria. Keywords: technology transfer, horticultural practices, scaling, innovation systems, Nigeria
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