Terroir 2008 banner
IVES 9 IVES Conference Series 9 The influence of tertiary and quaternary deposits on the viticultural potential of the terroirs to be found in Geneva, Switzerland

The influence of tertiary and quaternary deposits on the viticultural potential of the terroirs to be found in Geneva, Switzerland

Abstract

The 1365 ha of the Genevese vineyard are located at the south-western corner of the Swiss plateau, between 395m and 505 m altitude. The vineyard is spread on quaternary deposits left behind after the melting of glaciers (12000 years BP) and tertiary molassic rocks (Chattien, 24 Ma). A soil map on the scale of 1:7500 was produced from 850 auger probes and 90 soil profiles. Based on this map, 69 parcels of Gamaret and Gamay are used as indicators to study the meso-climate and to follow the vines’ development. Thirty-seven parcels are equipped with temperature sensors at the depths of 2, 10 and 50 cm.
The glacial deposits are either made up of basal tills, mostly compacted, or by lateral and frontal stony tills more or less compacted or by glacio-lacustral and fluviatil deposits which show a textural composition going from clay to coarse gravel. The tertiary rocks present a succession of mudstone and sandstone stratas. The presence of these different deposits means there is great spatial variability. The textural and spatial variability are therefore present in the soils which developed from these parent materials.
More than half of the soils (55%) are located on basal or lateral tills. The glacio-lacustres and the tertiary rocks are to be found under 21 and 26 % of the soils respectively. Seven percent is situated on molasse with shallow till deposit. The CALCOSOLS, BRUNISOLS and LUVISOLS cover 63, 21 and 8 % of the surface respectively. Their clay, calcite and stone content differs widely. The deposits also influence the soils’ thermal and hydrological properties. The soils with excess of water are mostly located on fine textural deposits like mudstone and glacio-lacustral clay and on compacted tills The available water content goes from 50 to 250 mm. The plant behaviour is being observed in an on-going study to better under stand the meso-climate of the vineyard.

DOI:

Publication date: December 8, 2021

Issue: Terroir 2008

Type : Article

Authors

BURGOS Stéphane, DAKHEL Nathalie and ALMENDROS Sébastien

Ecole d’ingénieurs de Changins, 1260 Nyon, Switzerland

Contact the author

Keywords

terroir, géologie, sols, climat, dépôts glaciaires

Tags

IVES Conference Series | Terroir 2008

Citation

Related articles…

Study of fungal and bacterial laccases for the reduction of ochratoxin A content in model wine

Ochratoxin A (OTA) is a mycotoxin produced by several filamentous fungi infecting grape bunches (Penicillium and Aspergillus spp.), this toxin pass to must when grapes are crushed and later it is found in wine. Following the evaluations of the toxicity of OTA, European Commission Regulations have been promulgated introducing upper limits for OTA concentrations in various commodities (cereals, cereal products, dried vine fruit, coffee, wine, grape juice, baby foods and dietary foods for special medical purposes).

Methodological approach to zoning

An appellation or geographic indication should be based on the terroir concept in order to ensure its integrity. The delimitation of viticultural terroirs must include two consecutive or parallel steps, namely (a) the characterisation of the environment and identification of homogenous environmental units (basic terroir units, natural terroir units) taking all natural factors into account, as well as (b) the characterisation of the viticultural and oenological potential of these units over time.

Varietal volatile patterns of Italian white wines

Aroma diversity is one of the most important features in the expression of the varietal and geographic identity and sensory uniqueness of a wine. Italy has one of the largest ampelographic heritages of the world, with more than five hundred different varieties. Among them, many are used for the production of dry still white wines, many classified as Protected Designation of Origins and therefore produced in specific geographical areas with well-defined grape varieties. Chemical and sensory characteristics of the aroma of these wines have never been systematically studied, and the relative diversity has never been described and classified.

Model-assisted analysis of the root traits underlying RSA genotypic diversity in Vitis: a promising approach for rootstock selection?

By dissecting the root system architecture (RSA) into its underpinning components (e.g. root emission, axial growth, radial growth, branching, root direction or tropism) and identifying the relationships between them, functional-structural 3D root models are promising tools for analyzing the diversity and complexity of root system phenotypes with Genotype × Environment interactions. The model parameters are assumed to be synthetic traits, less influenced by the environment, and consequently with less polygenic architectures than the integrative RSA traits they drive. Root models can serve as a basis for in silico development of root system ideotypes by highlighting the developmental processes and parameters that most likely influence RSA fitness.

Evaluation of Polarized Projective Mapping as a possible tool for attributing South African Chenin blanc dry wine styles

Multiple Factor Analysis (MFA) According to the Chenin blanc Association of South Africa, there are three recognized dry wine styles, Fresh and Fruity (FF), Rich and Ripe Unwooded (RRU), and Rich and Ripe Wooded (RRW), classically attributed with the help of sensory evaluation. One of the “rapid methods” has drawn our attention for the purpose of simplifying and making style attribution for large sample sets, evaluated during different sessions, more robust. Polarized Projective Mapping (PPM) is a hybrid of Projective Mapping (PM) and Polarised Sensory Positioning (PSP). It is a reference-based method in which poles
(references) are used for the evaluation of similarities and dissimilarities between samples.