Evaluation of a biological foliar fertilization system, in the production, agronomic and quality characteristics of three wine grape varieties

The production of most red wines that are sold involves an alcoholic fermentation carried out by yeasts of the Saccharomyces genus, and a subsequent fermentation carried out by lactic bacteria of the Oenococus oeni species after the first one is fully completed. However, the traditional process can face complications, which can be more likely in grape juices with high levels of sugar and pH. Because of climate change, these situations are more frequent in the wine industry. The main hazards in those scenarios are halts or delays in the alcoholic fermentation or the growth of unwanted bacteria while the alcoholic fermentation is not done yet and the wine still has residual sugars.

Wine aroma descriptors are important tools for wine evaluation. The present well-known wine aroma descriptor system was created and based on Western culture, which makes difficult for Chinese consumers to recognize and learn wine. AIM: The aim of this study was to update the wine aroma descriptor system for Chinese.

Methods: Fifty-four wine aroma descriptors of ‘Le nez du vin’ was used as substitution candidates. Firstly, a survey on unfamiliar aromas was distributed to 150 untrained Chinese wine consumers. Twenty attributors, such as blackcurrent buds, quince, linden, were selected as the most 17 unfamiliar. Then, a descriptive analysis was performed by trained tasting panel to substitute the targeted twenty aromas perfume. Furthermore, reference standards were looked and new le nez du vin were made. Finally, a substitution analysis was performed to replace the unknown wine aroma to the Chinese local aromas.

L’area a “Denominazione di Origine Controllata Colli Euganei”, riconosciuta con Dpr 13 agosto 1969, è situata a sud-ovest della Provincia di Padova (fig. 1) ed è costituita da un sis­tema collinare di nuclei vulcanici evolutosi morfologicamente.

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.

Nitrogen (N) fertilizer is important for grape growth and the quality of wine. It is essential to address the mismatch between N application and wine composition. Cabernet Gernischt (Vitis vinifera L.), as one of the main wine-grape cultivars in China, was introduced to Yantai wine region in 1892. This grape cultivar is traditionally used for quality dry red wine with fruit, spices aroma, ruby red and full-bodied wines. In order to regulate vine growth and improve grape and wine quality, Cabernet Gernischt grapevines were subjected to decreased levels of N treatments, compared to normal N supply treatment, during grape growing seasons of 2019 and 2020.