An analytical framework to site-specifically study climate influence on grapevine involving the functional and Bayesian exploration of farm data time series synchronized using an eGDD thermal index

This study aims to create an updated, agile viticultural climate index (similar to the Winkler Index) by performing in-depth analyses of current and historical data from industry partners in several major winegrowing regions. The Winkler Index was developed in the early twentieth century based on analysis of various grape-growing regions in California. The index uses heat accumulation (i.e. Growing Degree Days) throughout the growing season to determine which grape varieties are best suited to each region. As viticultural regions are increasingly subject to the complexity and uncertainty of a changing climate, a more rigorous, agile model is needed to aid grape growers in determining which cultivars to plant where. For the first phase of this study, 21 industry partners throughout Napa Valley shared historical phenology, harvest, viticultural practice, and weather data related to their Cabernet sauvignon vineyard blocks. To complement this data, berry samples were collected throughout the 2021 growing season from 50 vineyard blocks located throughout 16 American Viticultural Areas that were then analyzed for basic berry chemistry and phenolics. These blocks have been mapped using a Geographic Information System (GIS), enabling analysis of altitude, vineyard row orientation, slope, and remotely sensed climate data. Sampling sites were also chosen based on their proximity to a weather station. By analyzing historical data from industry partners and data specifically collected for this study, it is possible to identify key parameters for further analysis. Initial results indicate extreme variability at a high spatial resolution not currently accounted for in modern viticultural climate indices and suggest that viticultural practices play a major role. Using the structure of data collection and analyses developed for the first phase, this project will soon be expanded to other wine regions globally, while continuing data collection in Napa Valley.

Regionality, frequently called terroir, is often used to market wines from different locations. Savatiano (Vitis Vinifera L.), is the dominant indigenous variety of the Mesogeia – Attiki region, reaching a percentage of 70% of the total vine cultivation, and being the most widely planted variety in Greece. In this context, this research focuses on the evaluation of the impact of different terroirs within the PGI Attiki zone on the aromatic profile of Savatiano.

Cell pluripotency, enables the possibility to change the cellular fate, stimulating the reorganization and the formation of new vegetative structures from differentiated somatic tissues. Although several factors are implicated in determining the success of a breeding program through the use of modern biotechnological techniques, the definition of a specific regeneration strategy is fundamental to speed up and make these applications feasible.

Viticulture is threatened by the environmental modification caused by climate change. Higher temperatures determine an acceleration of the ripening process, which can be detrimental to wine quality. In the mediterranean area, heat waves are also increasingly frequent, with consequent blocking of the vegetative activity of the vines and increased susceptibility to sunburn damage. thus, adaptation strategies are necessary to reduce stress and improve the quality of grape production. Amongst the various techniques available, shading nets represent an interesting alternative for their effects on canopy microclimate (i.e., reduction of photosynthetic activity, improvement of water use efficiency, and slowing down in the ripening process).

Climatic variability studies at fine scale have been developed in recent years with the reduction of material cost and the development of competitive miniaturized sensors. This work is forming part the LIFE-ADVICLIM project, of which one of the objectives is to model spatial temperature variability at vineyard scale. In the Bordeaux pilot site, a large network of data loggers has been set up to record temperature close to the vine canopy. The reduced distance between plant foliage and measurement equipment raises specific issues and leads to an increased rate of outliers compared to data retrieved from classical weather stations. Some of these were detected during data analysis, but others could not be easily identified. The present study aims to address the issue of data quality control and provide recommendations for data processing in climatic studies at fine scale.