Red wines can sometimes exhibit undesirable green, herbaceous, and vegetative aromas, negatively impacting their sensory profile and consumer acceptance.

The ambition of the zonation of the Doc “Sangiovese di Romagna” is described as 25 siti sperimentali, aventi diversa origine geologica, in cui è stato individuato un vigneto omogeneo per la determinazione dei principali parametri viticoli ed enologici. In seguito è stato analizzato il contentto di stilbeni nei vini al fine di indepth il legame con le charatteristiche geopedologiche. The studio describes the positive relationship between the altitude and the content of the trans -piceide nelle province di Forlì and Ravenna and of the trans -resveratrolo a Ravenna. I suoli con maggiore calcare attivo hanno fornito vini più ricchi in stilbeni.

Nitrogen composition of grape berries plays a key role in determining wine quality, affecting the development of alcoholic fermentation and the formation of volatile compounds. Grape nitrogen composition is influenced by several factors such as viticultural practices, soil management, timing or rate of fertilization and use of rootstock, among others.In this study a proximal, non-destructive tool based on NIR spectroscopy is presented to track the accumulation of a wide range of amino acids in intact grape berries during the ripening process.

Galloylated flavan-3-ols are a class of polyphenolic compounds present in various plants, including grape seeds. These compounds are formed through the condensation of flavan-3-ols, such as catechins, although the precise mechanism by which gallic acid is incorporated into the molecule remains unclear.

Grapevine yield and fruit quality are two major drivers of input allocation and, ultimately, revenue for grape producers. Because yield and fruit quality vary substantially from year-to-year and within a single block, opportunities exist for optimization via precision management activities that could lead to more profitable and sustainable grape production. Here, we review recent advances in the techniques and technology used to measure, estimate, and forecast grapevine yield and fruit quality. First, we discuss direct “measurement” of yield and quality (i.e. ground-truth data generation), with an emphasis on potential for scalability and automation. Second, we discuss technology and techniques that do not directly measure yield and quality, but use correlated measurements for their estimation.