Heat-stress responses regulated via a MYB24-MYC2 complex

The dealcoholized wine sector is experiencing strong market growth, driven by increasing consumer demand.

The geology of the Western Cape testifies to the former existence of a late Precambrian supercontinent, its fragmentation, the closure of an ocean between the South African and South American continental precursors (Kalahari and Rio de la Plata cratons), the accumulation of marine sediments and limestones, and their compression during a collision between these cratons

Le cru de Bonnezeaux est une des appellations prestigieuses des vins liquoreux et moelleux des Coteaux du Layon et sa réputation est ancienne. L’INAO a effectué sa délimitation en 1953. Le vignoble est situé au nord de la ville de Thouarcé et au sud du village de Bonnezeaux, le long du versant rive droite du Layon, exposé au sud-ouest. La superficie du vignoble est de 156 ha.

Current climate change is increasing inter- and intra-annual variability in atmospheric conditions leading to grapevine phenological shifts as well altered grape ripening and composition at ripeness. This study aims to (i) detect weather anomalies within a long-term time series, (ii) model grape ripening revealing altered traits in time to target specific ripeness thresholds for four Vitis vinifera cultivars, and (iii) establish empirical relationships between ripening and weather anomalies with forecasting purposes. The Day of the Year (DOY) to reach specific grape ripeness targets was determined from time series of sugar concentrations, total acidity and pH collected from a private company in the period 2009-2021 in North-Eastern Italy. Non-linear models for the DOY to reach the specified ripeness thresholds were assessed for model efficiency (EF) and error of prediction (RMSE) in four grapevine cultivars (Merlot, Cabernet Sauvignon, Glera and Garganega). For each vintage and cultivar, advances or delays in DOY to target specified ripeness thresholds were assessed with respect to the average ripening dynamics. Long-term meteorological series monitored at ground weather station by means of hourly air temperature and rainfall data were analyzed. Climate statistics were obtained and for each time period (month, bimester, quarter and year) weather anomalies were identified. A linear regression analysis was performed to assess a possible correlation that may exist between ripening and weather anomalies. For each cultivar, ripeness advances or delays expressed in number of days to target the specific ripening threshold were assessed in relation to registered weather anomalies and the specific reference time period in the vintage. Precipitation of the warmest month and spring quarter are key to understanding the effect of climate change on sugar ripeness. Minimum temperatures of May-June bimester and maximum temperatures of spring quarter best correlate with altered total acidity evolution and pH increment during the ripening process, respectively.

The study was performed in the summer of 2007, the point of confluence of a rather atypical vintage year in the area with abnormally low temperatures after a very humid spring