Impact of grape maturity on esters content and sensory characters in wines fermented with yeast strains of different genetic backgrounds

IVES was a partner of the Merano Wine Festival (innovation section), a digital event held from 6 to 10 November 2020. During this festival participants attended scientific conferences on cutting-edge topics for the wine industry. Some of the topics covered have been selected from our journals

This study assessed the suitability of grapevine growing in three DOs (Empordà, Pla de Bages and Penedès) of Catalonia (NE Spain) over the 21st century. For this purpose, an estimation of water needs and agroclimatic and phenological indicators was made. Climate change impacts were estimated at 1 km pixel resolution using temperature and precipitation projections from several general circulation models (GCM) and two climate change scenarios: RCP 4.5 (stabilization scenario) and RCP 8.5 (worst-case scenario). Potential crop evapotranspiration (following FAO procedure) and a daily water balance considering soil water holding capacity were used to estimate actual evapotranspiration of vines and, finally, water needs. Dynamics would be similar in the three DOs studied although the magnitude of impact differs. Water needs would be 2 and 3 times greater (ranging from 0 to more than 1500 m3/ha) than current water needs at both climate change scenarios. Moreover, blooming date would advance from 3 to 6 weeks, harvest date from 1 to 2.5 months, resulting in growing cycles from 10 to 80 days shorter. It should also be noted that frost risk would decrease from 6 to 76%, the number of days with temperatures above 30ºC during ripening would rise from 48 to 500% and tropical nights (minimum temperature >20ºC) at ripening would increase from 28 to 150%, depending on the scenario and the DOs. The impacts of climate change in the three DOs could result in significant limitations for grapevine cultivation and wine production if adaptive strategies are not applied. This result could serve as a basis for the design of specific and particular adaptation strategies to improve and maintain vineyards in the DOs studied and could be extrapolated to similar DOs and regions.

In 1979 an enlightened and farsighted business owner in an area and in an activity unknown to him and in 120 hectares of land cultivated with corn and wheat expressed to one of us that he wanted to start a business in the wine sector. The first innovative “Vigna Dogarina Scientific Applicative Project” has become famous and harmoniously inserted in and with the “Territoir” of eastern Veneto in northeastern Italy. The revolutionary project allowed one of us: 1. to put into practice results of research related to the applied philosophy, vision, methodology of the “Great MetaEthic Chain 4.1C®” algorithm of the “Conegliano Campus 5.1C®” that considers all material, immaterial, spiritual, technical, economic, environmental, social, existential, relational, ethical, MetaEthical factors with basic indexing in a harmonious chain “ 4.1C®” and application “5.1C®”, 2. to implement:

The production of red sparkling wines is lower in Spain in comparison with the winemaking of white or rosé sparkling wines. In red sparkling wine processing it is essential to obtain suitable base wines that should have moderate alcohol content, high acidity, good color values, an adequate mouth-feel and a sweet tannin. Grapes for sparkling wine production have to be harvested at low maturity stages, with lower alcohol contents and higher acidities, which will that the phenolic maturity of the grapes is also low, showing green tannins. This paper analyses different treatments in order to minimize these inconveniences: cold maceration-prefermentation and delestage to elaborate the grapes with lower maturity, must nanofiltration, and the partial osmosis of the wines made from grapes with an adequate maturity degree.

Temperature extremes affect grapevine physiology, as well as grape quality and production. In most grape growing regions, frost or heat wave events are rare and as such conducting a risk analysis using robust statistics makes the use of long term daily data necessary.