Terroir 1996 banner
IVES 9 IVES Conference Series 9 Primary results on the characterisation of “terroir” in the certified denomination of origin Rioja (Spain)

Primary results on the characterisation of “terroir” in the certified denomination of origin Rioja (Spain)

Abstract

[English version below]

La integración de variables referentes al clima, la litología y la morfología del relieve y el suelo en la D.O. Ca Rioja permite la configuración de un modelo a través de cuya validación se obtiene la delimitación de zonas vitícolas. A través del análisis estadístico (Clasificación Automática, AFD, ACP,…) se eliminan las variables del clima que aportan información redundante, lo que permite la constitución de un modelo que con dos únicas variables (ETO e Índice de Costantinescu) explica el 88 % de la varianza y partir de el que se configura una cartografía en seis zonas climáticas vitícolas (Fig.1).
La litología es valorada a través de agrupaciones litológicas cuya cartografía da lugar a diecinueve subzonas con vocación vitícola diferenciada (Fig. 4). Las variables referentes a la morfología del relieve y el suelo son valoradas a través del concepto de Serie de Suelos (Fig. 7). El tratamiento de la información por un Sistema de Información Geográfica (GIS) da como resultado la cuantificación de los contenidos y la posibilidad de su tratamiento estadístico. El resultado es un modelo con resultado cartográfico cuyas unidades son evaluadas desde el punto de vista vitícola por un sistema paramétrico aplicado a la unidad taxonómica principal y adaptado a las condiciones ecológicas particulares de la viña que da como resultado cinco clases (Fig. 10). La validación de los resultados mediante su comparación con las unidades cartográficas anteriormente definidas se realiza a través de variables relacionadas con la distribución superficial y el rendimiento en conjunto y por variedades. (Tabla 4).

The integration of variables concerning the climate, lithology, morphology of the relief and the soils in the Denomination of Origin (D.O.) Ca Rioja permits for the configuration of a model from which the demarcation of viticultural regions are obtained after validation. By means of statistical analysis (automatic classification, AFD, ACP…), redundant climatic variables are eliminated, which permits for the construction of a model with only two variables (ETO and the Index of Constantinescu) that can explain 88% of the variation. From this analysis, a map with six viticultural climate zones was formed (Fig. 1). The lithology is valued by means of Iithological groupings, whose mapping shows nineteen subzones where land is dedicated to viticulture (Fig. 4). The variables concerning the morphology of the relief and the soils were appraised by means of the Soil Series concept (Fig. 7). Treatment of this information with a Geography Information System (GIS) provides results on the quantification of the contents and the possibility of statistical analysis. The result is a model with cartography properties, whose units are evaluated from a viticultural point of view by a parametric system, applied the principal taxonomic unit and adapted to particular ecological conditions in the vineyard. Five classes were the result (Figure 10). Validation of the results by comparison with cartographies units described previously was realized through variables related to the distribution or land area and overall vineyard productivity or varietal productivity (Table 4).

DOI:

Publication date: March 2, 2022

Issue: Terroir 1998

Type: Article

Authors

VICENTE SOTÉS, VICENTE GOMEZ-MIGUEL, LUIS F. SEOANE

Departamentos de Fitotecnia y Edafologia de la ETS de lngenieros Agrônomos. Universidad Politecnica de Madrid Avda Complutense s/n. 28040-Madrid

Tags

IVES Conference Series | Terroir 1998

Citation

Related articles…

Targeted and untargeted 1H-NMR analysis for sparkling wine’s authenticity

Studies on wineomics (wine’s metabolome) have increased considerably over the last two decades. Wine results from many environmental, human and biological factors leading to a specific metabolome for each terroir. NMR metabolomics is a particularly effective tool for studying the metabolome since it allows the rapid and simultaneous detection of major compounds from several chemical families.1 Quantitative NMR has already proven its effectiveness in monitoring the authenticity of still wines.

Southern Oregon Ava landscape and climate for wine production

The Southern Oregon American Viticultural Area (AVA) consists of the Applegate Valley, Rogue Valley, Umpqua Valley, Elkton Oregon, and Red Hills of Douglas County sub-AVAs (Figure 1) that are some of the many winegrape producing regions found within the intermountain valleys along the west coast of the United States.

Adjustments of water use efficiency by stomatal regulation during drought and recovery of Verona province grape varieties grafted on two different vitis hybrid rootstocks

Drought is considered to be the predominant factor both for determining the geographic distribution of vegetation and for restricting crop yields in agriculture. Furthermore

Study to optimize the effectiveness of copper treatments for low impact viticulture

Among all pathologies that afflict grapevine, Downy Mildew (DM) is the most important. Generally controlled using Copper (Cu), recently European Commission confirmed its usage but limiting the maximum amount to 28 Kg per hectare in 7 years (Reg. EU 2018/1981).

Data mining approaches for time series data analysis in viticulture. Potential of the bliss (Bayesian functional linear regression with sparse step functions) method to identify temperature effects on yield potential

Context and purpose of the study – Vine development, and hence management, depends on dynamic factors (climate, soil moisture, cultural practices etc.) whose impact can vary depending upon their temporal modalities.