A generic method to analyze vine water deficit continuously

The development of interspecific hybrid varieties (ihvs) resistant to diseases such as powdery mildew and downy mildew allows for a decrease in the use of inputs in vineyards. In this pers-pective, ihvs represent a response to societal demand for reducing environmental impact and are increasingly used in viticulture. At the same time, wines resulting from so-called sponta-neous fermentations, based on indigenous flora, have recently gained popularity.

Sessile oak and pedunculate oak have shown several differences of interest for enological purposes. Tannic and aromatic composition among sessile oak or pedonculate oak has been well studied. Sessile oak is generally more aromatic than pedunculated, while the later is more tannic. This scientific point of view is rarely applied to classify oak in cooperages. Most coopers use the type of grain to distinguish wide and thin grain.

To investigate the impact of spatial variation in vine vigour on the accumulation of methoxypyrazines in the rachis of Cabernet-Sauvignon. Cabernet-Sauvignon rachis has been shown to contain significantly higher concentrations

The Northeast region of Brazil is characterized by a semi-arid climate, has produced tropical wines since twenty years ago. The region is located at 09º 09’ South, 40º 22’ West, 365.5 m

No other agricultural product has a stronger relationship with the soil than wine. This study aimed to characterize the sensory profile of red wines from the Douro Demarcated Region (RDD) certified as DOC Douro, through the application of Quantitative Descriptive Analysis (QDA®) and Temporal Dominance of Sensations (TDS) sensory methods. QDA® provides a complete word description for all a product’s sensory properties. The TDS, which is relatively recent in the sensory field [1], allows to evaluation and description of the evolution of the dominant sensory perceptions during the tasting of a food product.Eighteen commercial wines from different producers were evaluated, six different samples representing each of the three sub-regions of the RDD.