Abstract:
This study investigates the determinants of potato productivity in the Jeldu and Chelia
woreda,West Shoa Zone of Oromia, Ethiopia, focusing on two districts: Jaldu and Chalia. Using
primary data from 154 randomly selected potato farmers and employing an Stochastic
regression analysis (SRA) regression model, the research identifies key factors affecting
productivity. The results highlight that irrigation, improved seed varieties, land size, soil quality,
fertilizer use, modern ploughing techniques, sowing time, and farmer training significantly
influence potato yields. Conversely, factors such as farming experience, age, oxen usage, and
education level have also effects potato productivity. The findings emphasize the need for
improved access to irrigation, quality seeds, mechanized ploughing, targeted training programs,
and better fertilizer distribution. The study provides actionable policy recommendations to
enhance productivity and support smallholder farmers, contributing to food security and
economic development in Ethiopia by proving the agricultural inputs and training farmers to
improve the agricultural technology specially to improve the mode of ploughing. Additionally the
soil quality and irrigation schemes must gate attention from the government policy action to
increase the productivity of potato beyond the study area.
