The influence of different fertiliser applications and canopy management practices on the potassium content and pH of juice and wine of Vitis vinifera L. cvs. Cabernet-Sauvignon and Cabernet franc

Este programa se enmarca dentro de las líneas de trabajo del Departamento de Agricultura, Ganadería y Alimentación del Gobiemo de Navarra y su objetivo general es conocer adecuadamente las

The concentration of CO2 in the atmosphere is increasing from year to year. Taking into account the calculations of the greenhouse gas inventory, it was found that approximately 70% of CO2 in the atmosphere is absorbed by vegetation (forests, agricultural land, etc.).

Consumers are increasingly requesting ready-to-eat products, which are time-saving and convenient. Offering ready-to-eat fruits and vegetables represents a quick and easy way for any consumer to add healthy products to their diet. In this study, we evaluated the aptitude of several table grape varieties to be included in the processing and packaging lines of ready-to-eat products. The following work was based on the characterization of genetic materials and varietal innovation.

The study of new wine grape cultivars can be interesting to diversify the local wine productions without using international varieties. With this aim some Vitis vinifera intraspecific crosses obtained by Prof. Dalmasso in the 1930s and registered in the Italian National Catalogue in 1977, have been studied in the last years.

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.