Dry leaf hyperspectral reflectance predicts leaf elemental composition in grafted hybrids

In recent years, a pool of terpenoids possibly implicated in minty odours and in the appreciable refreshing sensation, has been identified in long aged red Bordeaux wines (Lisanti et al., 2021, Picard et al., 2016; Picard et al., 2017). These compounds were found to play a key role in the so-called “ageing bouquet”, that can be defined as “the homogeneous, harmonious flavour resulting from the complex transformation process in wine during bottle storage” (Picard et al., 2015). Moreover the minty-fresh sensory dimension in fine aged red wines plays an important role in typicity judgement by wine professionals (Picard et al., 2015).

Cognac spirit aromas result from the presence of a wide variety of volatile odorous compounds associated with the modalities of distilled spirit elaboration and during aging. Indeed, these odorous compounds play an essential role in the finesse and complexity of the aged Cognac.

The ability, and the underlying mechanisms of grapevines to cope with and adapt to recurring water constraints, are the focuses of this study.

One of the limitations of vineyards in warm areas is the loss of wine quality due to higher temperatures during the grape ripening period. In order to adapt the vineyards to these new climatic conditions, a possible solution is to delay the ripening process of the grapes towards periods with milder temperatures, by means of management practices and thus improve the quality of the fruit and the wine produced. The technique of severe shoot pruning (SSP) has proven useful in achieving this objective.

To face emerging competition and challenges, wine producers globally rely on precision viticulture (PV) solutions to boost productivity, enhance quality, increase profitability, and reduce the environmental impact of vineyards. Current pv methods predominantly use multispectral sensor data from several platforms (satellites or vineyard installations). However, these applications generally use data analysis strategies lacking physiological grapevine support.