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IVES 9 IVES Conference Series 9 Caratterizzazione vitivinicola delle “Terre del Piacenziano” ricomprese nella zona D.O.C. “colli piacentini” attraverso l’analisi sensoriale dei vini prodotti

Caratterizzazione vitivinicola delle “Terre del Piacenziano” ricomprese nella zona D.O.C. “colli piacentini” attraverso l’analisi sensoriale dei vini prodotti

Abstract

[English version below]

I territori della Riserva Geologica del Piacenziano sono parte del pedeappennino piacentino e sono noti per essere la culla del Pliocene, quel periodo di storia della Terra compreso tra 5.3 e 1.8 milioni di anni fa. Gli strati argillosi e sabbiosi riccamente fossiliferi qui presenti sono da sempre oggetto di studi geo-paleontologici tant’è che il Pliocene medio (3.6-2.6 milioni di anni fa) è internazionalmente noto come Piacenziano. Le analisi sensoriali strutturate dei vini qui prodotti hanno evidenziato, soprattutto per il vino Monterosso, le positive peculiarità dei loro caratteri sensoriali e descritto gli scostamenti significativi del loro profilo sensoriale rispetto agli altri vini presi a riferimento.

The particular soils of the of the Piacenziano Geologic Reserve are internationally recognized with the name “Piacenziano” (medium Pliocene, between 3.6 and 2.6 million years ago). The structured sensory analysis of the wines of the Piacenziano has shown, mainly for the Monterosso white wine, the most important sensorial descriptors and the significative differences of the sensory profile with the other wines produced in the zone.

DOI:

Publication date: December 3, 2021

Issue: Terroir 2010

Type: Article

Authors

Alberto Vercesi (1), Silvia Civardi (2) Matteo Gatti (3), Maurizio Zamboni (4), Gianluca Raineri (5)

(1)(2)(3)(4) Università Cattolica del Sacro Cuore, via Emilia Parmense, 84 – 29122 Piacenza
(5) Riserva Naturale geologica del Piacenziano, Scalinata Ospitale 4/6 – 29014 (PC)

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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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