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…

Spatial determination of areas in the Western Balkans region favorable for organic production

In problematic conditions for production of grapes and wine caused by the COVID-19 pandemic and the resulting occurrence of wine surpluses, producers are increasingly turning to the innovative viticulture and winemaking of products that are more appealing to the market and the consumers. On the other hand, consumption of the food safety or organic products, and therefore of organic grapes and wine, is increasingly common in the world, in particular in Europe. The Regional Rural Development Standing Working Group (SWG RRD), as a regional intergovernmental organization gathers actors in the viticulture and winemaking sector from states and territories of the Western Balkans (South-East Europe) in the Expert Working Group for Wine, with the aim of improving viticulture and winemaking in this region through joint activities. In accordance with the aforementioned, the SWG RRD is working on advancing organic production of grapes and wine, and on recognition of specificities of the terroir of wine-growing areas in Western Balkans. In addition, as part of the project “Facilitation of Exchange and Advice on Wine Regulations in Western Balkan Countries” helmed by the German Federal Ministry of Food and Agriculture, in addition to harmonization of relevant legislation with EU regulations, efforts are being invested towards recognition of organic wines. Within activities and project implemented by this organization, expert analyses and scientific research of the terroir of Western Balkans were carried out, and some of the results are presented in this paper.

Geospatial trends of bioclimatic indexes in the topographically complex region of Barolo DOCG

Barolo DOCG is an economically important wine producing region in Northwest Italy. It is a small region of approximately 70 km2 gross area. The topography is very complex with steep sloped hills ranging in elevation from below 200 m to 550 m. Barolo DOCG wine is made exclusively from the Nebbiolo grape. Bioclimatic indexes are often used in viticulture to gain a better understanding of broader climate trends which can be compared temporally and geographically. These indexes are also used for identifying potential phenological timing, growing region suitability, and potential risks associated with expected climatic changes. Understanding how topography influences bioclimatic indexes can help with understanding of mesoscale climate behaviour leading to improved decision making and risk management strategies. The average monthly maximum and minimum temperatures, the Cool Night Index, the Huglin Index, and the monthly diurnal range (from July to October) were calculated using data from 45 weather stations within a 40 km radius of the Barolo DOCG growing area between the years 1996 and 2019. Linear and multiple regression models were developed using independent variables (elevation, aspect, slope) extracted from a digital elevation model to identify significant relationships. Bioclimatic indexes were then kriged with external drift using independent variables that showed significant relationships with the bioclimatic index using a 100 m resolution grid. The maximum monthly temperatures and the Huglin Index showed consistent significant negative relationships with elevation in all years. The minimum monthly temperatures showed no relationship with elevation but in some months a small but significant relationship was observed with aspect. Due to the lack of a relationship between minimum monthly temperatures and elevation compared to the significant relationship between maximum monthly temperatures and elevation, monthly diurnal range had a negative relationship with elevation.

The modification of cultural practices in grapevine cv. Syrah, does it modify the characteristics of the musts?

The work shows the results of a year of experimentation (2020) in a Syrah variety vineyard in La Roda (Castilla-La Mancha, Spain). The trial approach was on a randomized block design with two factors: Irrigation (I) and Pruning (P).
Irrigation schedules were adjusted to apply amounts close to 1,500 m3/ha. With this provision, 2 different irrigation treatments were proposed: I1) Start of irrigation from pea-sized grape to post-harvest (providing at least 20 % of the total amount of irrigation water to be provided post-harvest); I2) Start of irrigation from pea-sized grape to harvest (usual irrigation practice in the study area). Pruning was proposed with two treatments, one at the end of January (P1), which is pruning on a conventional date; and P2) pruning carried out at the beginning of budding. In total, 4 repetitions were designed with 4 elementary plots, each one of them representing one of the proposed treatments (I1P1; I1P2; I2P1; I2P2). In total, 16 plots were worked on and each elementary plot consisted of 30 strains, distributed in 3 lines.
The productive response was evaluated with the yield results of the harvest harvested at 23 ºBrix. The qualitative response was measured in the musts through the indices of technological (acidity, pH and potassium) and phenolic maturity and aromatic compounds in free and glycosylated fractions. The treatments tested had, in general, an effect on the different variables analyzed.

A better understanding of the climate effect on anthocyanin accumulation in grapes using a machine learning approach

The current climate changes are directly threatening the balance of the vineyard at harvest time. The maturation period of the grapes is shifted to the middle of the summer, at a time when radiation and air temperature are at their maximum. In this context, the implementation of corrective practices becomes problematic. Unfortunately, our knowledge of the climate effect on the quality of different grape varieties remains very incomplete to guide these choices. During the Innovine project, original experiments were carried out on Syrah to study the combined effects of normal or high air temperature and varying degrees of exposure of the berries to the sun. Berries subjected to these different conditions were sampled and analyzed throughout the maturation period. Several quality characteristics were determined, including anthocyanin content. The objective of the experiments was to investigate which climatic determinants were most important for anthocyanin accumulation in the berries. Temperature and irradiance data, observed over time with a very thin discretization step, are called functional data in statistics. We developed the procedure SpiceFP (Sparse and Structured Procedure to Identify Combined Effects of Functional Predictors) to explain the variations of a scalar response variable (a grape berry quality variable for example) by two or three functional predictors (as temperature and irradiance) in a context of joint influence of these predictors. Particular attention was paid to the interpretability of the results. Analysis of the data using SpiceFP identified a negative impact of morning combinations of low irradiance (lower than about 100 μmol m−2 s−1 or 45 μmol m−2 s−1 depending on the advanced-delayed state of the berries) and high temperature (higher than 25oC). A slight difference associated with overnight temperature occurred between these effects identified in the morning.

Towards a regional mapping of vine water status based on crowdsourcing observations

Monitoring vine water status is a major challenge for vineyard management because it influences both yield and harvest quality. It is also a challenge at the territorial scale for identifying periods of high water restriction or zones regularly impacted by water stress. This information is of major importance for defining collective strategies, anticipating harvest logistic or applying for irrigation authorisation. At this spatial scale, existing tools and methods for monitoring vine water status are few and often require strong assumptions (e.g. water balance model). This paper proposes to consider a collaborative collection of observations by winegrowers and wine industry stakeholders (crowdsourcing) as an interesting alternative. Indeed, it allows the collection of a large number of field observations while pooling the collection effort. However, the feasibility of such a project and its interest in monitoring vine water status at regional scale has never been tested.

The objective of this article is to explore the possibility of making a regional map of vine water status based on crowdsourcing observations. It is based on the study of the free mobile application ApeX-Vigne, which allows the collection of observations about vine shoot growth. This information is easy to collect and can be considered, under certain conditions, as a proxy for vine water status. This article presents the first results obtained from the nearly 18,000 observations collected by winegrowers and wine industry stakeholders during 2019, 2020 and 2021 seasons. It presents the vine shoot growth maps obtained at regional scale and their evolution over the three vintages studied. It also proposes an analysis of the factors that favoured the number of observations collected and those that favoured their quality. These results open up new perspectives for monitoring vine water status at a regional scale but above they provide references for other crowdsourcing projects in viticulture.