The sensory features of the landscapes

Non-targeted analysis is applied in many different domains of analytical chemistry such as metabolomics, environmental and food analysis. In contrast to targeted analysis, non-targeted approaches take information of known and unknown compounds into account, are inherently more comprehensive and give a more holistic representation of the sample composition.

Brettanomyces is a world-renowned yeast that negatively impacts the chemical composition of wines through the production of metabolites that negatively impact the sensory properties of the final product. Its resilience in wine conditions and ability to produce off-flavors make it a challenge for winemakers. Currently, the primary control technique involves adding sulfur dioxide (SO2); however, some Brettanomyces strains are developing resistance to this preservative agent. [1] Therefore, new management strategies are necessary to control this spoilage yeast.

Climate influence on grapevine physiology is prevalent and this influence is only expected to increase with climate change. Although governed by a general determinism, climate influence on grapevine physiology may present variations according to the terroir. In addition, these site-specific differences are likely to be enhanced when climate influence is studied using farm data. Indeed, farm data integrate additional sources of variation such as a varying representativity of the conditions actually experienced in the field. Nevertheless, there is a real challenge in valuing farm data to enable grape growers to understand their own terroir and consequently adapt their practices to the local conditions. In such a context, this article proposes a framework to site-specifically study climate influence on grapevine physiology using farm data. It focuses on improving the analysis of time series of weather data. The analytical framework includes the synchronization of time series using site-specific thermal indices computed with an original method called Extended Growing Degree Days (eGDD). Synchronized time series are then analyzed using a Bayesian functional Linear regression with Sparse Steps functions (BLiSS) in order to detect site-specific periods of strong climate influence on yield development. The article focuses on temperature and rain influence on grape yield development as a case study. It uses data from three commercial vineyards respectively situated in the Bordeaux region (France), California (USA) and Israel. For all vineyards, common periods of climate influence on yield development were found. They corresponded to already known periods, for example around veraison of the year before harvest. However, the periods differed in their precise timing (e.g. before, around or after veraison), duration and correlation direction with yield. Other periods were found for only one or two vineyards and/or were not referred to in literature, for example during the winter before harvest.

La délimitation de l’aire de production d’une appellation d’origine contrôlée française est une opération essentielle. Le décret-loi du 30 juillet 1935, qui a créé le système des appellations d’origine contrôlées

Analisi sulle zonizzazioni storiche, sulle produzioni tipiche ed originali e sulla “forestazione classica” per impostare innovative zonazioni vitivinicole e dei prodotti tipici, originali attraverso la “Nuova forestazione storica produttiva”. Le recenti ricerche ed attività svolte sulle zonizzazioni storiche, sulle produzioni tipiche ed originali e sulla “forestazione classica” dei Monti Iblei (Ragusa) (I) hanno permesso di rilanciare le produzioni tipiche ed originali vitivinicole in un innovativo programma integrato tra zonazione (“Grande Zonazione”) e “Nuova forestazione storica produttiva” (“Grande Forestazione Produttiva”) di questo importante territorio.