Terroir 1996 banner
IVES 9 IVES Conference Series 9 Observatoire du Grenache en Vallée du Rhône: incidence du terroir sur la diversité analytique et sensorielle des vins

Observatoire du Grenache en Vallée du Rhône: incidence du terroir sur la diversité analytique et sensorielle des vins

Abstract

Rhone Valley A.O.C. Vineyards cover more than 70 000 hectares, of wich more than 40 000 plantedwith Grenache N. The Grenache observatory was created in 1995. The object of this 24 parcels network covering main Rhone Valley soils is to state the effect of terroir on plant physiology and wine characteristics. The results show a very important diversity in Grenache behaviour, but a good stability of the differences for the three studied vintages. This allows to characterize different types of grapes which vinified in the same conditions give very different wines. Main discrepancies affect the acidic and phenolic content of grapes and wines. They are confirmed by sensorial analysis wich gives a good description of gustative and aromatic characteristics of wines coming from the different parcels.

DOI:

Publication date: March 2, 2022

Issue: Terroir 1998

Type: Article

Authors

LUC LURTON

Service technique du CIVCRVR – Institut Rhodanien – 2260 Route du Grès – 84100 Orange, France

Tags

IVES Conference Series | Terroir 1998

Citation

Related articles…

Control of grapevine virus diseases in collections and at the stages of propagation in Ukraine

The principles of virological control on different types of grapevine collections and plantations are summarized.

The influence of external factors on the alcoholic fermentation of wine yeasts

Wine yeast strains Saccharomyces ellipsoideus have important applications in food industry and in this regard is sought isolation as pure cultures and selecting those strains

Merging fast sensory profiling with non-targeted GC-MS analysis for multifactorial experimental wine making

Wine aroma is influenced by several viticultural and oenological factors. In this study we used experimental wine making in a full factorial design to determine the impact of grapevine age, must turbidity, and yeast strain on the aroma of Vitis vinifera L. cv. Riesling wines. A recently developed, non-targeted SPME-GC-MS fingerprinting approach for wine volatiles was used. This approach includes the segmentation and mathematical transformation of chromatograms in combination with Parallel Factor Analysis (PARAFAC) and subsequent deconvolution of important chromatogram segments.

Learning from remote sensing data: a case study in the Trentino region 

Recent developments in satellite technology have yielded a substantial volume of data, providing a foundation for various machine learning approaches. These applications, utilizing extensive datasets, offer valuable insights into Earth’s conditions. Examples include climate change analysis, risk and damage assessment, water quality evaluation, and crop monitoring. Our study focuses on exploiting satellite thermal and multispectral imaging, and vegetation indexes, such as NDVI, in conjunction with ground truth information about soil type, land usage (forest, urban, crop cultivation), and irrigation water sources in the Trentino region in North-East of Italy.

The influence of soil management practices on functional traits and biodiversity of weed communities in Swiss vineyards

Green cover in vine rows provides many ecological services, but can also negatively impact the crop, depending on the weed species. The composition of a vineyard weed community is influenced by many parameters. Ensuring an evolution of the vine row flora into a desired direction is therefore very complex. A key step towards this goal is to know which factors influence the establishment of the weed community and which types of communities are best suited for vineyards. In this study, we analysed the weed communities of several vineyards in the Lake Geneva region (379 botanical surveys on 117 plots), with the aim to highlight the links between soil management practices (chemical and mechanical weeding, mowing, mulching roll) and phytosociological profiles, biodiversity and selected functional traits (growth forms, life strategies, root depth). T