Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28978
Title: Modelo misto via mínimos quadrados para delineamentos de blends de cafés
Other Titles: Mixed model via minimal squares for blends off coffee design
Authors: Cirillo, Marcelo Ângelo
Brighenti, Carla Regina Guimarães
Oliveira, Deive Ciro de
Keywords: Modelos mistos
Blends de café - Análise sensorial
Delineamentos de misturas
Variável de processos
Mixed models
Mínimos quadrados
Least squares
Coffee blends - Sensory analysis
Mix designs
Process variable
Issue Date: 2-Apr-2018
Publisher: Universidade Federal de Lavras
Citation: PAULINO, A. L. B. Modelo misto via mínimos quadrados para delineamentos de blends de cafés. 2018. 56 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)-Universidade Federal de Lavras, Lavras, 2018.
Abstract: The present study aims to propose a mixed model in a sensory analysis of four blends of special coffea Coffea Arabica experiments, represented by Yellow Bourbon and Acaiá genotypes and non-special ones defined by Canephora and Comercial coffees. Each experiment was differentiated according to the processing type: dry and wet, and beverage concentrations defined as 0.07 and 0.10 (m / v), in which these amounts represented grams of coffee powder per 100 ml of water. In all experiments, the response variables were characterized by the sensory attributes: Taste, Bitterness and Note. For the implementation of the model, we considered the approach given by the least squares method, because it is easy to understand and implement to the researcher. The scripts were developed in the R software and made available in the Blendstat package. It was concluded that the aggregation of the experiments random effects contributed to the discrimination of the experiments, in which the blends of special coffees with the same origin (altitude), genotype and concentration were similar for the flavor attribute in both forms of dry and humid via processing.
URI: http://repositorio.ufla.br/jspui/handle/1/28978
Appears in Collections:Estatística e Experimentação Agropecuária - Mestrado (Dissertações)



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