The key role of vineyard parcel in modifying flavor compounds of Cabernet Sauvignon grapes

In recent years, the application of plant protection unmanned aerial vehicle (UAV) in agricultural pest control has become more and more popular. However, there are few reports about the application of plant protection UAV for wine grapes, and there are no studies comparing the spraying effect of plant protection UAV with that of manual operation in vineyards. In this context, the objective of this study was to explore the feasibility of using plant protection UAV in vineyards instead of manual operations by evaluating the effectiveness of UAV spray in two common grape training systems in Northeast China.

ln the current work, phenolic and cellular maturation curves were used to assess the degree of adaptation of the cultivar Cabernet sauvignon to the sites under esamination. Five wine­-producing zones with different pedoclimatic characteristics and latitudes were considered (Marche, Toscana, Emilia, Friuli and Slovenia).

Knowledge on the reflectance spectrum of soil is potentially useful since it carries information on soil chemical composition that can be used to the planning of agricultural practices. If compared with analytical methods such as conventional chemical analysis, reflectance measurement provides non-destructive, economic, near real-time data. This paper reports results from reflectance measurements performed by spectroradiometry on soils from two vineyards in south Brazil. The vineyards are close to each other, are on different geological formations, but were subjected to the same management. The objective was to detect spectral differences between the two areas, correlating these differences to variations in their chemical composition, to assess the technique’s potential to predict soil attributes from reflectance data.To that end, soil samples were collected from ten selected vine parcels. Chemical analysis yield data on concentration of twenty-one soil attributes, and spectroradiometry was performed on samples. Chemical differences significant to a 95% confidence level between the two studied areas were found for six soil attributes, and the average reflectance spectra were separated by this same level along most of the observed spectral domain. Correlations between soil reflectance and concentrations of soil attributes were looked for, and for ten soil traits it was possible to define wavelength domains were reflectance and concentrations are correlated to confidence levels from 95% to 99%. Partial Least Squares Regression (PLSR) analyses were performed comparing measured and predicted concentrations, and for fifteen out of 21 soil traits we found Pearson correlation coefficients r > 0.8. These preliminary results, which have to be validated, suggest that variations of concentration in the investigated soil attributes induce differences in reflectance that can be detected by spectroradiometry. Applications of these observations include the assessment of the chemical content of soils by spectroradiometry as a fast, low-cost alternative to chemical analytical methods.

[English version below]

A tre anni dal suo inizio, nel 1997 si è conclusa la prima fase della ricerca “Caratterizzazione della produzione DOC Soave”. Lo studio ha basato il suo percorso sperimentale su alcuni punti fondamentali tra i quali:
• Recupero di tutte le informazioni storico-colturali sul vino Soave e sul suo territorio di produzione.

Yield is an agronomic trait that is critical to the sustained success and profitability of the wine industry. In the context of global warming, overall yield tends to decrease. Rootstock has been identified as a relevant lever for adaptation to changing environmental conditions. The aims of this study are; i) to finely identify the components of the yield influenced by rootstock; ii) to characterise the rootstock × scion interaction; iii) to understand the trade-off between vigour and yield.