Which potential for Near Infrared Spectroscopy to characterize rootstock effects on grapevines?

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.

This study analyses the actual situation regarding the legal protection of the vitivinicultural terroirs in Yamanashi Prefecture, the centre of Japanese wine industry with more than 150 years of wine-making tradition.

The research is part of the “Ecovinegoals” project, financed by Interreg Adrion funds. It aims to encourage the adoption and dissemination of agroecological practices in intensive wine-growing areas. The study focuses on cost analysis of the wine-growing landscape enhancement in an organic winery in order to provide a useful tool for winemakers to direct their investments in green infrastructures. One of the Italian pilot areas of the Ecovinegoals project is the Venezia Biodistrict, characterized by viticulture in a flat reclamation area of 105,800 hectares.

The interactions among aromatic compounds and proteins is an important issue for the quality of foods and beverages. In wine, the loss of flavor after vinification is associated to bentonite treatment and this effect can be the result of the removal of aroma compounds which are bound wine proteins. This phenomenon was recently demonstrated for long chain fatty acids and their ethyl esters (1). Since these latter compounds are spectroscopically silent, their association with proteins is not easy to measure.

Barolo DOCG is an economically important wine producing region in Northwest Italy. It is a small region of approximately 70 km2 gross area. The topography is very complex with steep sloped hills ranging in elevation from below 200 m to 550 m. Barolo DOCG wine is made exclusively from the Nebbiolo grape. Bioclimatic indexes are often used in viticulture to gain a better understanding of broader climate trends which can be compared temporally and geographically. These indexes are also used for identifying potential phenological timing, growing region suitability, and potential risks associated with expected climatic changes. Understanding how topography influences bioclimatic indexes can help with understanding of mesoscale climate behaviour leading to improved decision making and risk management strategies. The average monthly maximum and minimum temperatures, the Cool Night Index, the Huglin Index, and the monthly diurnal range (from July to October) were calculated using data from 45 weather stations within a 40 km radius of the Barolo DOCG growing area between the years 1996 and 2019. Linear and multiple regression models were developed using independent variables (elevation, aspect, slope) extracted from a digital elevation model to identify significant relationships. Bioclimatic indexes were then kriged with external drift using independent variables that showed significant relationships with the bioclimatic index using a 100 m resolution grid. The maximum monthly temperatures and the Huglin Index showed consistent significant negative relationships with elevation in all years. The minimum monthly temperatures showed no relationship with elevation but in some months a small but significant relationship was observed with aspect. Due to the lack of a relationship between minimum monthly temperatures and elevation compared to the significant relationship between maximum monthly temperatures and elevation, monthly diurnal range had a negative relationship with elevation.