Mapping of coffee land zoning based on sensory attributes of wine coffee

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2023-01-20

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Universidade Federal de Lavras

Resumo

The primary aimed of this study is to carry out land zoning of Arabica coffee area based on the characteristics of organoleptic sensory attributes with the optimal taste of coffee wine at different levels of altitudes. The study was conducted on the hillsides of Mount Bawakaraeng Lompobattang, South Sulawesi Province which has Arabica coffee plants at different altitudes, namely, 1000-1200 m.asl (A), 1200-1400 m.asl (B), 1400-1600 m.asl (C), and 1600-1800 m.asl (D). Quality tests of coffee beans and organoleptic sensory attribute taste tests were carried out including fragrance or aroma, flavor, aftertaste, acidity, body, uniformity, balance, clean cup, sweetness, overall, and taint or defect. The results of the study showed that the coffee beans were classified as quality 1 with large bean size; while the characteristics of uniformity, clean cup, and sweetness are the basic or essential characteristics of the coffee beans tested in this study because they showed the highest score of 10 and this score is consistent for all levels of altitudes. The results of compiling organoleptic sensory attribute data and satellite imagery analysis were used for mapping potential coffee fields with Specialty Grade, covering area of 20,025.54 ha or equal to 2.00% of the research area of 1,011,693 ha. In addition, coffee land zones can also be mapped with the level of coffee wine taste based on the distribution pattern of dominant organoleptic sensory attributes at different altitude. The order of the optimal level of coffee wine taste can be written as the land zoning, as follows: D > B > C > A. The land zoning D covers an area of 3,351.60 ha; B 5,738.53 ha; C 4,381.27 ha; and A 3,552.10 ha. Overall, it can be concluded that the taste of wine coffee tends to be better or optimal as the level of altitude increases.

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Altitude, anaerobic fermentation, geographic information system, hillsides, specialty grade

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CHAIRUDDIN, Zulkarnain; LABAN, Sartika; IKSAN, Muh.; KHAERUNNISA, Khaerunnisa; SUHARDJO, Suhardjo; HOCK, Tan Khim. Mapping of coffee land zoning based on sensory attributes of wine coffee. Coffee Science, Lavras, v. 17, p. e172071, 2023. Disponível em: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/2071. Acesso em: 30 oct. 2023.

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