A mixed model applied to joint analysis in experiments with coffee blends using the least squares method

Paulino, Allana Lívia Beserra; Cirillo, Marcelo Ângelo; Ribeiro, Diego Egídio; Borém, Flávio Meira; Matias, Gabriel Carvalho

doi:10.5935/1806-6690.20190041

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The blends are described in Table 1. Further details can be found in Paulino, Cirillo, Ribeiro, Matias and Borém (2019). The procedures were approved by the ethics committee of the Federal University of Lavras (CAAE: 14959413.1.0000.5148).…”

Section: Experimental Descriptionmentioning

confidence: 99%

Proposal of a metric selection index for correspondence analysis: an application in the sensory evaluation of coffee blends

Costa

Resende

Nakano

et al. 2020

Semina: Ciênc. Agrár.

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Section: Experimental Descriptionmentioning

confidence: 99%

Proposal of a metric selection index for correspondence analysis: an application in the sensory evaluation of coffee blends

Costa

Resende

Nakano

et al. 2020

Semina: Ciênc. Agrár.

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“…Consumption and commercialization of coffee produced in Brazil holds a prominent position within the global economic scenario. In this context, numerous factors, such as origin and geographical designation (Ramos et al, 2016), forms of processing (Ribeiro et al, 2019;Ribeiro et al, 2016), specialty coffees and their blends (Paulino et al, 2019), and granulometric classification (Brighenti & Cirillo, 2019), have been researched as means to improve quality of coffee, aiming to expand the market and acquire new consumers.…”

Section: Introductionmentioning

confidence: 99%

An Index to Evaluate the Acceptance of Specialty Coffees in Consumer Groups

2020

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Numerous factors are related to the individual sensory perception of consumers, which makes it impossible to adapt a model that explains their behavior. In this context and given the scarcity of statistical indexes that evaluate preferences for specialty coffees, new statistical methods should be studied. To this end, our study aimed to create an index that measures the acceptance of specialty coffees. The index was built considering the fit of regression models as a function of principal component scores. Validation was done by significance tests, whose probabilities were obtained by bootstrapping, considering the main measures used in diagnosing outliers as weights, with application to real data from different consumer groups. The coffee varieties Acaia and Bourbon were discriminated in relation to altitude. In conclusion, the index was adequate for the analysis and characterization of specialty coffees grown at different altitudes.

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Nonlinear Canonical correspondence Analysis: Description of the data of Coffee

Santos

Cirillo

Borém

et al. 2023

Semin., Ciênc. Exatas Tecnol.

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The formulation of coffee blends is of paramount importance for the coffee industry, as it provides the product with an expressive ability to compete in the market and adds sensory attributes that complement the consumption experience. Through redundancy analysis and canonical correspondence analysis, it is possible to study the relationships between a set of sensory notes and a set of blends with different proportions of coffee variety through multivariate linear regression models. However, it is unrealistic to assume that such sensory responses are given linearly in relation to the formulation of the blends, since some coffee species have greater weight in the sensory evaluation (quadratic terms) and the effect of the mixtures (term of interaction). With this motivation, this work aims to propose the use of redundancy analysis and nonlinear correspondence analysis through multivariate polynomial regression to evaluate the acceptance of different varieties of coffee blends according to the scores given by the evaluators. Finally, it is concluded that there were gains in the percentage of total explained variance in the polynomial models in relation to the classic models.

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A mixed model applied to joint analysis in experiments with coffee blends using the least squares method

Cited by 3 publications

References 2 publications

Proposal of a metric selection index for correspondence analysis: an application in the sensory evaluation of coffee blends

Proposal of a metric selection index for correspondence analysis: an application in the sensory evaluation of coffee blends

An Index to Evaluate the Acceptance of Specialty Coffees in Consumer Groups

Nonlinear Canonical correspondence Analysis: Description of the data of Coffee

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