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IVES 9 IVES Conference Series 9 Estudio comparativo del potencial enológico de dos varietales tintos cultivados en la isla de Tenerife

Estudio comparativo del potencial enológico de dos varietales tintos cultivados en la isla de Tenerife

Abstract

En el presente trabajo se ha realizado un estudio comparativo entre los varietales tintos Listán negro y Negramolle en la Denominación de Origen Tacoronte-Acentejo. Se han determinado durante dos años, los parámetros clásicos de maduración, el contenido en fenoles, los antocianos y los antocianos extraibles. Así mismo, se llevaron a cabo vinificaciones experimentales con dichos cultivares en orden a determinar no solo el potencial sino también su aptitud enológica. Del análisis de los resultados obtenidos sobre las uvas en maduración, se desprenden unos valores más adecuados de pH y contenido en potasio en la variedad Negramolle frente a la Listán negra, y un contenido en materia colorante potencialmente inferior en la variedad Negramoll. Sin embargo, estudiando la evolución frente al tiempo de los vinos elaborados, el contenido en antocianos y fenoles totales decae más rápidamente en la variedad Listán negra, manteniéndose más estable la variedad Negramolle.

DOI:

Publication date: February 24, 2022

Issue: Terroir 2000

Type: Article

Authors

J.L. González-González (1), R. Arnias-Benítez (1), M.A. Hernández-Cabrera (1), E. González-Díaz (2), J. Darias-Martín (3)

(1) Consejería de Agricultura, Ganadería, Pesca y Alimentación del Gobierno Autónomo de Canarias. Dirección General de Política Agroalimentaria
(2) Instituto Canario de Investigaciones Agrarias
(3) Departamento de Ingeniería Química y Tecnología Farmacéutica. Area de Tecnología de Alimentos. Universidad de La Laguna

Keywords

Maduración, potencial enológico, varietales tintos, antocianos

Tags

IVES Conference Series | Terroir 2000

Citation

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Laroche-Pinel, E., Duthoit, S., Albughdadi, M., Costard, A. D., Rousseau, J., Chéret, V., & Clenet, H. (2021). Towards vine water status monitoring on a large scale using sentinel-2 images. remote sensing, 13(9), 1837.
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