Techniques for sunburn reduction in bunches in Vitis vinifera L. cv. Graciano

Atmospheric CO2 levels have been rising continuously since the industrial revolution, affecting crop physiology, yield and quality of harvest products, and grapevine is no exception [1]. Most of previously reported studies used potted plants in controlled environments, and explored grapevine response to relatively high CO2 levels, 700 ppm or more. The vineyardFACE, established in Geisenheim in 2012, uses a free air carbon dioxide enrichment (FACE) system to simulate a moderate (ambient +20%) increase in atmospheric CO2 in a vineyard planted with cvs. Cabernet-Sauvignon and Riesling grafted on rootstock 161-49 Couderc and SO4, respectively.

Aim: Many processes or reactions that occur in plants involved isotopic discrimination. Water availability, for example, affects the isotopic ratio of carbon (δ13C) and oxygen (δ18O). In viticulture, δ13C is used in experiments related to water relations and irrigation in vineyards. δ18O is used much less but it could be a good complement to δ13C. The aim of this study was to generate knowledge on how these isotopic ratios, measured in musts, could help to better understand the water behavior of grape varieties. 

L’appellation d’origine contrôlée repose sur une définition précise de l’aire de production du raisin. Cette délimitation définie par l’Institut National des Appellations d’Origine est proposée par des experts choisis pour leurs compétences dans le domaine de la connaissance de la relation terroir – vins, après avis du syndicat de défense de chaque AOC.

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.

Il lavoro di zonazione riveste un ruolo importante per capire le potenzialità e la vocazionalità di una specifica area viticola. La viticoltura dovrebbe essere vista in funzione dell’obiettivo enologico che si vuole realizzare e quindi particolare importanza riveste il risultato delle vinificazioni delle uve provenienti dai vigneti delle diverse aree della zona di produzione oggetto d’indagine. La zonazione dell’area a DOC Monti Lessini Durello ha preso in esame la varietà “Durella”, vitigno autoctono del territorio, che rappresenta la maggior parte della produzione vitivinicola della zona.