Breeding tomato flavor : modeling consumer preferences of tomato landraces
Impacte
Scholar |
Altres documents de l'autoria: Villena Ferrer, Jaime; Moreno Valencia, Carmen; Roselló, Salvador; Beltran Arandes, Joaquin; Cebolla-Cornejo, Jaime; Moreno, Marta María
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/197672
comunitat-uji-handle3:10234/197673
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INVESTIGACIONMetadades
Títol
Breeding tomato flavor : modeling consumer preferences of tomato landracesAutoria
Data de publicació
2022-10-12Editor
Elsevier Science DirectISSN
0304-4238; 1879-1018Cita bibliogràfica
Villena, J., Moreno, C., Roselló, S., Beltrán, J., Cebolla-Cornejo, J., & Moreno, M. M. (2023). Breeding tomato flavor: modeling consumer preferences of tomato landraces. Scientia Horticulturae, 308, 111597.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
Tomato landraces are highly appreciated by consumers, who are willing to pay a price premium for them. But little is known regarding sensory perception and its relationship with fruit composition. The Spanish variety ... [+]
Tomato landraces are highly appreciated by consumers, who are willing to pay a price premium for them. But little is known regarding sensory perception and its relationship with fruit composition. The Spanish variety “Moruno” was selected as a model for this purpose. A collection of 30 populations was grown in different environments and evaluated by a consumer panel. Partial least square (PLS) models were then developed relating determinant flavor descriptors (sweetness, sourness, taste and aroma intensity, aftertaste persistence and agreeability, and overall flavor acceptability) with compositional variables such as soluble solids, pH, titratable acidity, individual sugars, organic acids, volatiles, and derived variables. PLS models identified relationships that had not been uncovered with correlation and simple regression analysis and offered low cross-validation errors (<15% of the range of variation). Although plant yield negatively affected sensory perception, it was possible to identify populations with a good combination of both traits. [-]
Publicat a
Scientia Horticulturae Vol. 308, (January 2023)Entitat finançadora
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Codi del projecte o subvenció
RTA 00083-C02–01
Drets d'accés
info:eu-repo/semantics/embargoedAccess
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- BBICN_Articles [92]