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IVES 9 IVES Conference Series 9 Prove preliminari dl caratterizzazione del vino gutturnio dei colli piacentini

Prove preliminari dl caratterizzazione del vino gutturnio dei colli piacentini

Abstract

The “GuIturnio dei Colli Piacentini” V.Q.PR.D. results from the vinification of Barbera (55-70%) and Bonarda (30-40%) cultivars, grown in the hilly area of the Piacenza district, identified by the DM 31-07-93 art. 3.
The present work concerns the “zonation” of this area, constituted by 3 valleys Tidone (A), Nure (B) and Arda (C ). 11 homogeneous subzones (5 in A, 2 in B and 4 in C) have been identified studying the environmental and viticultural characteristics.
Some 1996 wines coming from each subzone were characterized using an unstructured card with sensory descriptors properly chosen for the Gutturnio wines. The sensory evaluation was carried out by a suitable trained panel of assessors. The work also reports a first classification of the same wines with the ‘Electronic nose ‘system.
This instrumental apparatus, based on an array of non-selective chemical sensors and a multicomponent data analysis, is able to recognize, distinguish and classify the odors.

DOI:

Publication date: March 2, 2022

Issue: Terroir 1998

Type: Article

Authors

MAURO CATENA (1), LORENA CASTELLARl (2), MARIO UBIGLI (3), ANTONELLA BOSSO (3), MARIA CARLA CRAVERO (3), LORETTA PANERO (3), ALBINO LIBÈ (4), CORRADO Dl NATALE (5), ANTONELLA MACAGNANO (5), ROBERTO PAOLESSE (5), ARNALDO D’AMICO (5)

(1) C.R.P.V. – Filiera Vitivinicola, Via Tebano, 45 – 48018 Faenza (RA)
(2) C.A.T.E.V. S.r.l., Via Tebano, 45 – 48018 Faenza (RA)
(3) lstituto Sperimentale per l’Enologia, Via P. Micca, 35 – 14100 Asti
(4) Provincia di Piacenza – Dipartimento “Politiche di gestione del territorio e tutela
dell’ambiente” – Monitoraggio delle risorse territoriali ed ambientali – loc. Gariga – 29027 Podenzano (PC)
(5) Università di Roma, Tor Vergata – Gruppo Sensori e Microsistemi

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IVES Conference Series | Terroir 1998

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Cohen, Y., Gogumalla, P., Bahat, I., Netzer, Y., Ben-Gal, A., Lenski, I., … Helman, D. (2019). Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? In Precision agriculture ’19, The Netherlands: Wageningen Academic Publishers, pp. 445–451.
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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