Breeding tomato flavor : modeling consumer preferences of tomato landraces
Impacto
Scholar |
Otros documentos de la autoría: Villena Ferrer, Jaime; Moreno Valencia, Carmen; Roselló, Salvador; Beltran Arandes, Joaquin; Cebolla-Cornejo, Jaime; Moreno, Marta María
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/197672
comunitat-uji-handle3:10234/197673
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INVESTIGACIONMetadatos
Título
Breeding tomato flavor : modeling consumer preferences of tomato landracesAutoría
Fecha de publicación
2022-10-12Editor
Elsevier Science DirectISSN
0304-4238; 1879-1018Cita bibliográfica
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.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
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. [-]
Publicado en
Scientia Horticulturae Vol. 308, (January 2023)Entidad financiadora
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Código del proyecto o subvención
RTA 00083-C02–01
Derechos de acceso
info:eu-repo/semantics/embargoedAccess
Aparece en las colecciones
- BBICN_Articles [92]