Intra-varietal diversity in cv. ‘Tempranillo Tinto’: phenological stages

The protein haze formation in white and rosé wines during storage, shipping and commercialization has always been an important issue for winemakers. Among the various solutions industrially proposed, the use of bentonite is certainly the most widespread. However, the harmful effects of this treatment are known either in terms of wine volume loss and wine flavour and aroma.

Climate change poses significant challenges to the global wine sector, with cool-climate countries particularly vulnerable to its effects. The research employs a panel data analysis to investigate the impact of climate change on the wine industry in 66 countries, focusing on 11 cool-climate countries located north of the wine belt in the northern hemisphere. Utilizing data from OIV, FAO and climatic statistics from the climate change knowledge portal of the world bank spanning from 1961 to 2020, the research examines the relationship between temperature, precipitation, and wine production.

Wineries of Beaumes-de-Venise area make their best red wines with grapes from the “Triassic terroir”. This « terroir » is characterized by soils from the Triassic period. These specific soils are complex and quite heterogeneous. They originate from an eventful geological history to keep in mind to understand soils geographical distribution.

Bottle ageing is considered essential for most premium red wine production. An important aim of bottle ageing of wine is to achieve a balance between the oxidative and reductive development. This is typically evaluated by the accumulation of aldehyde compounds (causing oxidative off-flavour) and sulfur-containing compounds (causing reductive off-flavour) in the wine [1]

The assessment of wine authenticity is of great importance for consumers, producers and regulatory agencies to guarantee the geographical origin of wines and grape variety as well. Since mid-infrared (MIR) spectroscopy with chemometrics represent a suitable tool to ascertain the wine composition, including features associated with the polyphenolic compounds, the aim of this study was to generate MIR spectra of red wines to be exploited for classification of red wines based on the relationship between grape variety and wine composition. Several multivariate data analyses were used, including Principal Component Analysis (PCA), Discriminant Analysis (DA), Support Vector Machine (SVM), and Soft Intelligent Modelling of Class Analogy (SIMCA).