Mining microbiome data to identify antagonists of grapevine downy mildew (Plasmopara viticola)

AIM: Patterns in data obtained from wine chemical and sensory evaluations are difficult to infer using classical statistics.

Vine genetics, fruit maturity, region and vineyard are perceived as factors that strongly influence Pinot noir grape and wine composition. Our study aims to understand the relationship between grape (and ultimately wine) composition and the physical appearance and performance characteristics of a vine (i.e. vine ideotype). Our experimental approach controlled these variables by

The zone in which the Cesanese vines are cultivated has a secular tradition of red wine­making. This zone is placed between the Simbruini mountains slopes and the surrounding hills and has pedologicai variability but a very homogeneous microclimate.

In the complex scenario that the wine industry and its promotion are currently facing, this research proposes a theoretical expansion of the traditional model used to understand the wine experience, namely the classic sensory, emotional and cognitive triad, moving toward a multidimensional approach that also incorporates cultural, symbolic and contextual dimensions in order to comprehend the conscious experience.

In recent years, vineyards in Australia, the US, Canada, Chile, South Africa and Europe have been exposed to smoke from wildfires. Wines made from smoke-affected grapes often exhibit unpleasant smoky, ashy characters, attributed to the presence of smoke-derived volatile compounds, including volatile phenols (which occur in free and glycosylated forms). Various strategies for remediation of smoke tainted wine have been evaluated. The most effective strategies involve the removal of smoke taint compounds via the addition of adsorbent materials such as activated carbon, which can either be added directly or used in combination with nanofiltration. However, these treatments often simultaneously remove wine constituents responsible for desirable aroma, flavour and colour attributes.