Monitoring of Sangiovese red wine chemical and sensory parameters along one-year aging in different tank materials and glass bottle

The foliar application of urea has been shown to be able to satisfy the specific nutritional needs of the vine as well as to increase the nitrogen composition of the must. On the other hand, the use of nanotechnology could be of great interest in viticulture as it would help to slow down the release of urea and protect it against possible degradation. Several studies indicate that cell wall synthesis and remodeling are affected by nitrogen availability.

Climate change has brought several impacts that are becoming increasingly intense during the last few years and put at risk the quality of the berries or even the plant’s sustainability. Such extreme climatic events impact the composition of the wine while modulating its quality and the consumer preferences (Tempère et al., 2019). The three most important changes that take place in the must are: 1) decrease acidity, 2) increase of the concentration of sugar, hence increase of alcohol in the wine, and 3) modification
of the sensory balance and the development for example of cooked fruit aromas.

Proseccco is a famous italian Protected Designation of Origin (PDO) produced in two regions: Veneto e Friuli Venezia Giulia, however, the production is mainly concentrated in the province of Treviso. These territories are characterized by plains with some hilly areas and temperate climate. Its Production regulation provides a minimum utilization of 85% of Glera grapes, a local white grape variety, and up to a maximum of 15% of other local and international varieties. Prosecco second fermentation takes place, according to the Charmat method, in autoclaves.

Understanding the water-use responses of grapevines to increasing atmospheric carbon dioxide concentrations is mandatory when assessing the impact of climate change on viticulture as it is a critical part of the adaptation process.

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.