Coffee Science

URI permanente desta seção${dspace.url}/handle/123456789/3355

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    Coffee (Coffea arabica L.) Cup Quality Varies with Growing Environments in Ethiopia: Climate and Soil Perspectives
    (Editora UFLA, 2025-04-28) Woldegebriel, Abayneh Melke
    This study investigates the impact of soil composition on the quality of coffee produced across different regions of Ethiopia, with a focus on key soil nutrients— nitrogen, phosphorus, and potassium. By analyzing soil samples from Sidama, Yirgacheffe, Harrar, Jimma, and Limu, the research explores how variations in soil nutrient levels influence coffee characteristics such as flavor complexity, acidity, body, and overall quality. The results show that volcanic soils in Sidama and Yirgacheffe, with higher nitrogen and potassium levels, enhance flavor complexity and acidity, contributing to high cupping scores. In contrast, loamy and sandy soils in Jimma, Limu, and Harrar produce coffee with distinct earthy, nutty, and bold flavors, exhibiting varied acidity and body. The study highlights the critical role of soil composition in shaping the sensory profile of Ethiopian coffee and offers practical insights for farmers seeking to optimize cultivation practices. The findings also contribute to the broader understanding of terroir and its influence on coffee quality, paving the way for sustainable and innovative approaches in coffee production to meet the growing demand for high-quality specialty coffee.
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    Factors affecting coffee farmers’ production in Jimma Zone, Southwest Ethiopia
    (Editora UFLA, 2024-09-24) Tamirat, Negese; Tadele, Sanait
    Coffee yield has good potential in the welfare capabilities of growers in coffee cultivating in Ethiopia in general and particularly in Jimma zone, southwest Ethiopia. Therefore, this study attempts to investigate the factors affecting coffee production in Jimma Zone, Southwest Ethiopia, using cross-sectional field survey data collected from 204 sample coffee growers in the 2023 main growing season. Primary and secondary data were collected in this study. Descriptive and binary logistic regression methods were employed for the data analysis. The results of binary logistic regression analysis showed that age, education status, off-farm activity, landholding, livestock holding, soil fertility, fertilizer use, use of credit, access to extension service, provision of improved seed, access to market information, access to infrastructure, distance to the nearest market and distance to the nearest road were the factors significantly influencing coffee production. Overall, the findings indicate that to enhance and sustain coffee yield in the study area, improved coffee varieties and agronomic practices can be better options to expand coffee yield. Therefore, the concerned bodies should pay considerable attention to coffee production, which is a crucial base for driving food security. The summary of coffee production by policymakers could help to achieve improved living standards for the people in the Jimma Zone.