Caracterización de las tierras de viña de Navarra

Oak tannin extracts are commonly used to improve wine properties. The main polyphenols found in oak wood extracts are ellagitannins¹ that release ellagic acid upon hydrolysis and comprise numerous structures². Moreover, oak tannin extracts contain other compounds giving a complex mixture. Consequently, the official OIV method based on gravimetric analysis of the tannin fraction adsorbed on polyvinylpolypyrrolidone is not sufficient to describe their composition and highlight their chemical diversity.

The black box of taste is getting unlocked. The starting point is to distinguish taste from tasting. Consider taste as a product characteristic; tasting is a sensorial activity. Consequently, taste can be studied on a molecular level and therefore be assessed more objectively, whilst tasting is a human activity and by definition subjective.

The need to rationalize agricultural inputs has recently increased interest in assessing vineyard variability in order to implement variable rate input applications, so-called ‘precision viticulture’. In many viticultural areas globally, precision viticulture is already widely used such as for selective harvesting and variable rate application (VRA) of inputs such as irrigation and/or fertilizer. Robust VRA relies on having a geostatistically accurate map (of one or more vineyard attributes) requiring high sampling densities, which can be cost- and time-prohibitive to obtain. Previous work on spatial interpolation using kriging have upscaled ground-based measurements, but such upscaling strategies are applicable only when vineyard conditions are spatially continuous and satisfies the assumption of second-order stationary processes. Alternatively, mixed models that combine kriging and auxiliary information, such as the regression kriging (RK) method, are more instructive for spatial predictions. In order to improve prediction accuracies, it is therefore necessary to incorporate additional information to achieve accurate spatial patterns with low error.

Multispectral unmanned aerial vehicle (UAV) has been successfully applied in monitoring vine vegetative growth, however, there are still potential relationships between remote sensing vegetation indexes (vis) and vine condition or grape quality, so it is worthy a deeper investigation to make a better use of UAV. One of the purposes of the study is to find out vis that could denote the severity of downy mildew (DM), so that precise and differentiated control strategies would be adopted subsequently.

It is well-known that there is a relationship between the “terroir” and the characteristics of grapes and quality of wines. However, adequate grape variety and other cultural factors should be also taken into account