Cluster-Based Large-Scale Demonstration of Improved Maize (Zea mays L.) Technology in Sodo District, East Guraghe Zone, Central Ethiopia

Background and Objective: Maize is a key crop in Ethiopia due to its nutritional and economic significance; however, national average yields remain significantly below both the global average and even the local potential of the Sodo District in East Gurage Zone. This study aimed to enhance maize production and productivity through a cluster-based large-scale demonstration of improved maize technology, targeting awareness creation and adoption among multiple stakeholders. Materials and Methods: A purposive sampling method was used to select the Sodo District and farmers were chosen based on cluster sampling and willingness to participate. The study employed a cluster-based design with 48 participating farmers. Gambela Kebele was selected for implementation and a farmer’s research extension group was established. The program included theoretical and practical training sessions for host and non-host farmers, development agents and experts. Descriptive statistics (p<0.05), were used to analyze yield performance and perception data. Results: Training significantly improved participants’ knowledge, skills and attitudes toward maize technology. Field days involving farmers, researchers, extension experts and decision-makers promoted visibility and knowledge exchange. The improved maize variety BH546 demonstrated good performance, with an average yield of 62.15 quintals per hectare, higher than the national and local averages. Farmers in the study area positively perceived the variety in terms of yield and adaptability. Conclusion: The demonstrated yield of BH546 exceeded both the national and district averages, indicating the variety’s high potential. Wider dissemination through established extension systems, along with full agronomic packages, is recommended to scale up adoption and boost regional productivity.