Terroir 2006 banner
IVES 9 IVES Conference Series 9 A geologic numeric mapping, with geophysic transects, of Marsannay’s vineyard (Burgundy, France)

A geologic numeric mapping, with geophysic transects, of Marsannay’s vineyard (Burgundy, France)

Abstract

Marsannay est l’appellation la plus septentrionale de la Côte de Nuits, à la limite Sud de Dijon. Elle regroupe trois villages, Chenôve, Marsannay-la-Côte et Couchey, et constitue l’appellation la plus vaste de la Côte de Nuits avec 315 hectares en A.O.C. Elle possède uniquement des niveaux d’appellations régionales et communales depuis 1987. En vue d’une demande de regroupements et de changements de niveau d’appellation de lieux-dits auprès de l’INAO, le Syndicat viticole a travaillé conjointement avec le groupe de recherche « terroir » des UMR CNRS 5561 et 5594. La méthodologie de cette étude a donc été orientée sur deux thématiques : une caractérisation physique des terroirs viticoles de l’appellation Marsannay et une étude géologique précise de l’appellation afin de comparer la répartition des facteurs naturels aux limites actuelles des lieux-dits. La caractérisation physique des terroirs viticoles a été réalisée à l’échelle des lieux-dits. La topographie est extraite des cartes I.G.N. au 1/25 000. Le vignoble de Marsannay est planté sur un relief de faille, entraînant une forte variabilité spatiale des substrats géologiques. Ainsi, une campagne de terrain a été menée afin de réaliser une carte géologique au 1/10 000. Les observations des affleurements sont complétées par plusieurs profils géophysiques et des fosses pédologiques. Les sub-affleurements ainsi que les variations du type de roche utilisée dans les constructions historiques de limite de parcelles sont intégrées afin d’affiner l’étude. Cette carte à grande échelle permet de comparer la spatialisation des substrats avec la délimitation des lieux-dits actuels. Il s’avère que les lieux-dits peuvent être géologiquement homogènes ou hétérogènes. Ainsi, faire des unités viticoles systématiquement homogènes d’un point de vue de la géologie amène à délimiter des lieux-dits de taille non adaptée à la culture de la vigne, et en inadéquation avec les délimitations existantes. Il est alors intéressant d’étudier si l’hétérogénéité du substrat d’un lieu-dit viticole influe sur la qualité du vin. Une corrélation a été réalisée pour des lieux-dits à niveau d’appellation et réputation différents.

DOI:

Publication date: January 12, 2022

Issue: Terroir 2006

Type: Article

Authors

Anne COMBAUD (1), Jean-Pierre GARCIA (1), Christophe PETIT (2), Amélie QUIQUEREZ (1), Franck REMOND (1) and Françoise VANNIER-PETIT

(1) UMR CNRS 5561 Biogéosciences
(2) UMR CNRS 5594 Archéologie, cultures et sociétés

Contact the author

Tags

IVES Conference Series | Terroir 2006

Citation

Related articles…

Biodiversity in the vineyard agroecosystem: exploring systemic approaches

Biodiversity conservation and restoration are essential for guarantee the provision of ecosystem services associated to vineyard agroecosystem such as climate regulation trough carbon sequestration and control of pests and diseases. Most of published research dealing with the complexity of the vineyard agroecosystems emphasizes the necessity of innovative approaches, including the integration of information at different temporal and spatial scales and development of systemic analysis based on modelling. A biodiversity survey was conducted in the Franciacorta wine-growing area (Lombardy, Italy), one of the most important Italian wine-growing regions for sparkling wine production, considering a portion of the territory of 112 ha. The area was divided into several Environmental Units (EUs), defined as a whole vineyard or portion of vineyard homogenous in terms of four agronomic characteristics: planting year, planting density, cultivar, and training system. In each EU a set of compartments was identified and characterised by specific variables. The compartments are meteorology, morphology (altitude, slope, aspect, row orientation, and solar irradiance), ecological infrastructures and management. The landscape surrounding EU was also characterised in terms of land-use in a buffer zone of 500 m. For each component a specific methodology was identified and applied. Different statistical approaches were used to evaluate the method to integrate the information related to different compartments within the EU and related to the buffer zone. These approaches were also preliminarily evaluated for their ability to describe the contribution of biodiversity and landscape components to ecosystem services. This methodological exploration provides useful indication for the development of a fully systemic approach to structural and functional biodiversity in vineyard agroecosystems, contributing to promote a multifunctional perspective for the all wine-growing sector.

Sustainable fertilisation of the vineyard in Galicia (Spain)

Excessive fertilization of the vineyard leads to low quality grapes, increased costs and a negative impact on the environment. In order to establish an integrated management system aimed at a sustainable fertilization of the vineyards, nutritional reference levels were established. For this purpose, 30 representative vineyards of the Albariño variety were studied, in which soil and petiole analyses were carried out for two years and grape yield and quality at harvest were measured. In both years of study, soil pH, calcium, sodium and cation exchange capacity were positively correlated with calcium content and negatively correlated with manganese in grapes. Irrigated vineyards had higher levels of aluminium in soil and lower levels of calcium in petiole. Climatic conditions were very different in the years of the study. The year 2019 was colder than usual, in 2020 there was a marked water stress with high summer temperatures. This resulted in medium-high acidity in grapes in 2019 and low acidity in 2020, with sugar levels being similar both years. A very marked decrease in must amino nitrogen was observed in 2020, with ammonia nitrogen remaining stable. The correlation of acidity and sugar values in grapes with soil and petiole analysis data made it possible to establish reference levels for the nutritional diagnosis of the Albariño variety in this region. Based on these results, an easy-to-use TIC application is currently being created for grapegrowers, aimed at improving the sustainability of the vineyard through reasoned fertilization. This study has now been extended to other Galician vine varieties.

Effect of multi-level and multi-scale spectral data source on vineyard state assessment

Currently, the main goal of agriculture is to promote the resilience of agricultural systems in a sustainable way through the improvement of use efficiency of farm resources, increasing crop yield and quality under climate change conditions. This last is expected to drastically modify plant growth, with possible negative effects, especially in arid and semi-arid regions of Europe on the viticultural sector. In this context, the monitoring of spatial behavior of grapevine during the growing season represents an opportunity to improve the plant management, winegrowers’ incomes, and to preserve the environmental health, but it has additional costs for the farmer. Nowadays, UAS equipped with a VIS-NIR multispectral camera (blue, green, red, red-edge, and NIR) represents a good and relatively cheap solution to assess plant status spatial information (by means of a limited set of spectral vegetation indices), representing important support in precision agriculture management during the growing season. While differences between UAS-based multispectral imagery and point-based spectroscopy are well discussed in the literature, their impact on plant status estimation by vegetation indices is not completely investigated in depth. The aim of this study was to assess the performance level of UAS-based multispectral (5 bands across 450-800nm spectral region with a spatial resolution of 5cm) imagery, reconstructed high-resolution satellite (Sentinel-2A) multispectral imagery (13 bands across 400-2500 nm with spatial resolution of <2 m) through Convolutional Neural Network (CNN) approach, and point-based field spectroscopy (collecting 600 wavelengths across 400-1000 nm spectral region with a surface footprint of 1-2 cm) in a plant status estimation application, and then, using Bayesian regularization artificial neural network for leaf chlorophyll content (LCC) and plant water status (LWP) prediction. The test site is a Greco vineyard of southern Italy, where detailed and precise records on soil and atmosphere systems, in-vivo plant monitoring of eco-physiological parameters have been conducted.

Effects of graft quality on growth and grapevine-water relations

Climate change is challenging viticulture worldwide compromising its sustainability due to warmer temperatures and the increased frequency of extreme events. Grafting Vitis vinifera L.

Measurement of redox potential as a new analytical winegrowing tool

Excell laboratory has initiated the development of an analytical method based on electrochemistry to evaluate the ability of wines to undergo or resist to oxidative phenomena. Electrochemistry is a powerful tool to probe reactions involving electron transfers and offers possibility of real-time measurements. In that context, the laboratory has implemented electrochemical analysis to assess oxidation state of different wine matrices but also in order to evaluate oxidative or reduced character of leaf and soil. Initially, our laboratory focused on dosage of compounds involved in responses of plant stresses and we were also interested in microbiological activity of soils. These analyses were compared with the measurement of redox potential (Eh) and pH which are two fundamental variables involved in the modulation of plant metabolism. Indeed, the variation of redox states of the plant reflects its biological activity but also its capacity to absorb nutriments. The Eh-pH conditions mainly determine metabolic processes involved in soil and leaf and our goal is to determine if this combined analytical approach will be sufficiently precise to detect biological evolutions (plant health, parasitic attack…).