Sensory profiles and preference analysis in ornamental horticulture: The case of the rosebush

• Published in: Food quality and preference Vol. 21; no. 8; pp. 987 - 997
• Main Authors: Boumaza, Rachid, Huché-Thélier, Lydie, Demotes-Mainard, Sabine, Coz, Eric Le, Leduc, Nathalie, Pelleschi-Travier, Sandrine, Qannari, El Mostafa, Sakr, Soulaiman, Santagostini, Pierre, Symoneaux, Ronan, Guérin, Vincent
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Kidlington Elsevier Ltd 01.12.2010; Elsevier
• Subjects: Agricultural sciences; Biological and medical sciences; Cluster analysis; consumer preferences; Food industries; Fundamental and applied biological sciences. Psychology; General aspects; Horticulture; Life Sciences; Methods of analysis, processing and quality control, regulation, standards; ornamental horticulture; Panel performance; Preference; Rosa hybrida L; Rose; sensory evaluation; sensory properties; Visual quality; Cluster analysis; Rose; Visual quality; Panel performance; Preference; Rosa hybrida L; Horticulture; Rosaceae; Rosa; Profile; Dicotyledones; Quality; Angiospermae; Spermatophyta; Performance; Rosa hyhrida L
• ISSN: 0950-3293; 1873-6343
• DOI: 10.1016/j.foodqual.2010.05.003

The context of ornamental horticulture is considered in order to extend the techniques of sensory and preference evaluation by taking the rosebush as a plant model. In a preliminary study ( Boumaza, Demotes-Mainard, Huché-Thélier, & Guérin, 2009), a sensory evaluation was conducted in order to set up a list of attributes. Subsequently, this list was adapted to assess 10 rosebushes. After the control of the panel performance using a multivariate strategy of analysis, the average scores were used in product mapping. The evaluation of the preferences with regard to these rosebushes was undertaken: 253 subjects were asked to rank the products by decreasing order of liking. Thereafter, the preference data were subjected to an internal preference mapping and a cluster analysis. Six homogeneous segments of consumers were eventually retained. By way of performing an external preference mapping, the average ranks were regressed upon the sensory attributes using principal component regression: the preferences of 67% of the consumers were satisfactorily explained by the attributes.