Application of nitrogen forms such as nitrate, urea, and amino acids effects on leaf and berry physiology and wine quality

The quality of wine is difficult to define. This is most certainly accredited to everyone´s different perception of quality. Some of the indicators of high-quality wines are color complexity and balance. Color is one of the most crucial attributes of quality, not only for the obvious implications for their perception but also because they are indicators of other aspects related to its aroma and taste.

Until the 19th century, the wild form of cultivated grapevines (vitis vinifera l. subsp. sylvestris gmelin, v. sylvestris) was ubiquitous in many european and west asian regions. However, many factors like deforestation, the intensification of agriculture, or the introduction of several pests and pathogens decimated its presence in these growing sites, and natural populations are now mostly restricted to river-bank forests and creeks with specific soil and climate conditions. in fact, v. sylvestris is now considered an endangered subspecies that is protected by law in many european countries to prevent its loss.

Cannonau variety is historically grown in a large Sardinia area (Jerzu district) and the vineyards are planted both in the plane and in the sloped hills reaching also 650 m of altitude a.s.l. Thus, in order to discover how climate, soil diversity and growing traditions could account for differences in grape and wine quality, this trial was carried out.

The evaluation of new grapevine genotypes regarding their potential to produce high quality wines is the time limiting factor in the process of grapevine breeding. Hence, the development of quality-related markers useable in marker-assisted selection (MAS) as well as in prediction models for this bottleneck trait will tremendously enhance breeding efficiency. In extensive studies a training set of a segregating white wine F1 population (150 F1 genotypes = POP150; `Calardis Musqué´ x `Villard Blanc´) was deeply phenotyped and genotyped for model development and QTL analysis.

AIM: Metabolomics in food science has been increasingly used over the last twenty years. Among the tools used for wine, qNMR has emerged as a powerful tool to discern wines based on environmental factors such as geographical origin, grape variety and vintage (Gougeon et al., 2019a).