Great highlands wine growing terroir: conditions and expressions

Abstract

During 1982 started our wine growing project at the Puntalarga Hill, between 2500 and 2600 meters a.s.l.: 5.78 ºN, 72.98 ºW. Pinot noir, white Riesling and Riesling x Silvaner crossings are the most planted grapevines. Since 1984 research and development activities are carried out on pertinent subjects.
Low latitude, high altitude, relatively low rainfall, frequent atmospheric transparency, determines intensity and spectral composition of incident solar radiation, day/night temperature change extent and low night values that are the tropical highland’s climate features of the region.
Coexistence over the year of all grapevine developmental stages and the production of vintages with good sugar content and acidity levels, suitable for the production of wine remarkable in aroma and color intensity, are possible under those conditions.
Vine behavior and grape and wine characteristics indicate that at low respiratory losses, local climatic conditions could be considered thermally equivalent to those of temperate wine growing regions, with similar Huglin’s index values. At the localization of the project, the climatic conditions over the year are similar to those of autumnal ripening time in a temperate climate. At the same time acting solar radiation is UV-B rich. Both factors result in special features of local grapes that could be considered as being terroir expressions.

DOI:

Publication date: December 8, 2021

Issue: Terroir 2008

Type : Article

Authors

MARCO QUIJANO – RICO

Viñedo & Cava Loma de Puntalarga, Nobsa, Colombia, P.O. Box / A.P. 048 Sogamoso

Contact the author

Keywords

altitude, radiation, température, maturation, originalité

Tags

IVES Conference Series | Terroir 2008

Citation

Related articles…

Les motivations du vigneron en quête de l’expression “terroir”

During the 1985 harvest, I was able to notice in the taste perception a break in the harmony of the wine during even partial blends of grapes from different plots. At the same time, I noted a good reaction from customers for greater product customization. As a result, I was led to seek the objective limits of the terroir of a cuvée and by a constant and permanent refinement of the parameters specific to each of the terroirs.

Efectos del deshojado y de su combinación con el aclareo de Racimos en los componentes básicos de la producción y del Mosto, sobre cv. Tempranillo en la D.O. Ribera del Duero

Las técnicas de manejo del canopy de la vid pueden favorecer la adaptación de los sistemas de conducción a diversas condiciones de cultivo para obtener uva de calidad.

Tutela legale delle denominazioni di origine nel mondo (con aspetti applicativi)

Uno degli aspetti più importanti nel commercio internazionale dei vini a denominazione è quello del riconoscimento dei diritti di esclusiva garantiti sui e dal territorio geografico d’o­rigine. Al fine di cautelarsi nei confronti della sempre più agguerrita concorrenza mondiale, è opportuno adottare adeguate protezioni ufficiali e legali delle denominazioni che possono derivare sia dalla “naturalità” del prodotto stesso che dalla “originalità” più particolare.

Development of analytical sampling technique to study the aroma profile of Pinot Noir wine

A novel and efficient Dispersive Liquid-Liquid Microextraction (DLLME) method coupled with gas chromatography–mass spectrometry (GC–MS) was developed to determine 33 key aroma compounds (esters, alcohols, aldehydes, terpenes, norisoprenoids, fatty acids and phenols) present in Pinot noir (PN) wine. Four critical parameters including extraction solvent type, disperse solvent type, extraction solvent volume and disperse solvent volume were optimised with the aid of D-optimal design.

Within-vineyard variability in grape composition at the estate scale can be assessed through machine-learning modeling of plant water status in space and time. A case study from the hills of Adelaida District AVA, Paso Robles, CA, USA

Aim: Through machine-learning modelling of plant water status from environmental characteristics, this work aims to develop a model able to predict grape phenolic composition in space and time to guide selective harvest decisions at the estate scale.