L’effetto paesaggio sul sistema delle preferenze: i vini veneti tra evocazioni di consumo e determinanti di scelta

The variety Aragonez (sin. Tempranillo), recently introduced in the San Francisco Valley (9º02′ S; 40º11′ W) has revealed an excellent adaptation, with high potential of quality and yield, even without clonal material.

The vineyard of Bergerac, a guaranteed vintage, is situated in the mid-Lot valley, which has siliceous terraced rows on its hillsides, and on its bordering plateaux, composed of limestone and clay of the tertiary geological eras.

Wine is one of the most consumed and appreciated beverages in the world. Due to the growing attention paid to consumer health, there is a continuous search for sustainable alternatives to common additives (such as sulfur dioxide) used to preserve wine. An example is represented by chitosan, the main derivative of chitin, approved for the treatment of must and wine since 2009 by the “international organization of vine and wine” (OIV/OENO 338a/2009) and by the european commission (EC Reg. No. 606/2009).

Aim: A soil mapping methodology based on gamma-ray spectrometry and soil sampling has been applied for the first time in Burgundy. The purpose of this innovative high-resolution mapping is to delimit soil areas, to define elementary units of soil for terroir characterization and vineyard management. The added value of this integrated approach is a continuous geophysical mapping of the soil with an investigation depth of 60cm.

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.