Data/hora: 01/06/2024 02:14:34

Provedor de dados: 	1	
País: 	Brazil	
Título: 	Statistical procedure for the composition of a sensory panel of blends of coffee with different qualities using the distribution of the extremes of the highest scores	
Autores: 	Cirillo, Marcelo Ângelo; Ramos, Mariana Figueira; Borém, Flávio Meira; Miranda, Felipe Mesquita de; Ribeiro, Diego Egídio; Menezes, Fortunato Silva de.	
Data: 	2019-05-24	
Ano: 	2019	
Palavras-chave: 	Canephora; Arabica; Mixture; Models.; Pré-processamento e armazenamento de produtos agrícolas e.	
Resumo: 	The identification and interpretation of discrepant observations in sensory experiments are difficult to implement since the external effects are associated with the individual consumer. This fact becomes more relevant in experiments that involve blends, which scrutinize coffees with different qualities, varieties, origins, and forms of processing and preparation. This work proposes a statistical procedure that facilitates the identification of outliers while also evaluating the discriminatory powers of a sensory panel concerning the differentiation of pure blends and coffees. For this purpose, four experiments were performed that tested coffees with different qualities and varieties. The results suggest that the statistical procedure proposed in this work was effective for discriminating the blends relative to the pure coffees and that the effects of the concentrations and types of processing did not interfere with the statistical evaluations.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39323

10.4025/actasciagron.v41i1.39323	
Editor: 	Universidade Estadual de Maringá	
Relação: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39323/pdf	
Formato: 	application/pdf	
Fonte: 	Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e39323

Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e39323

1807-8621

1679-9275	
Fonte: 	Copyright (c) 2019 Acta Scientiarum. Agronomy

https://creativecommons.org/licenses/by/4.0