Observation and modeling of climate at fine scales in wine-producing areas

Valbelluna valley is an area located in the northeastern Italy. It is extended from the East-West between Feltre and Belluno, along the Piave waterway and enclosed between Cansiglio valley on the South and the Dolomites in the North. Here, the villages of Limana and Trichiana are present, which are considered for decades potentially interesting areas to aim a niche production with own particular properties.The position of this area, its sun exposition, its soil composition and the microclimate, are ideal factors to obtain vines and consequently wines with unique features especially regarding the diversity and complexity aroma.

The sustainability of viticulture hinges on maintaining quality and yield while reducing pesticide use. Promising strides in this direction involve the development of clones with enhanced disease tolerance, particularly through the knockout of plant susceptibility genes. Knocking out of Downy Mildew Resistant 6 (DMR6) led to increased levels of endogenous salicylic acid (SA), a regulator of immunity, resulting in enhanced tolerance to Downy Mildew (DM) and other diseases in various crops.

There is evidence in the literature that non-volatile wine matrix can modify the release and therefore the perception of the compounds involved in wine aroma [1-3].

By dissecting the root system architecture (RSA) into its underpinning components (e.g. root emission, axial growth, radial growth, branching, root direction or tropism) and identifying the relationships between them, functional-structural 3D root models are promising tools for analyzing the diversity and complexity of root system phenotypes with Genotype × Environment interactions. The model parameters are assumed to be synthetic traits, less influenced by the environment, and consequently with less polygenic architectures than the integrative RSA traits they drive. Root models can serve as a basis for in silico development of root system ideotypes by highlighting the developmental processes and parameters that most likely influence RSA fitness.

We performed a DC resistivity monitoring experiment during eight months in 2003. Low, medium and high resolution measurements have been carried out at various locations of a vineyard. General apparent resistivity mapping evidences the spatial variations of the summer drying of the subsurface.