Estudio comparativo del potencial enológico de dos varietales tintos cultivados en la isla de Tenerife

The cultivation of grapes, can be accomplished with the use of different systems and practices of agricultural management, the choice of the system to be followed in the vineyard, depends on the conditions of available resources, these being: natural, economic, social, cultural and territorial. As well, it is relevant to know the characteristics of the soil of the vineyard. In the last decade, has been recurrent use of agricultural practices which date back to milinares traditions, with the aim of promoting a recovery of soil and lead the management of cultivation with less damage to the ecosystem. The study here, aimed to quantify the environmental impacts caused in the use of nutrients in conventional tillage and of grapes in the biodynamic agricultural properties in the state of Rio Grande do Sul- Brazil.

The use of elicitors to promote the biosynthesis of secondary metabolites in grapes has been tackled in several reports, however its study linked to nanotechnology is less developed.

Today, a variety of remote sensing tools are used to characterise plant performance. However, the vine is rarely studied, as a major crop specificity is canopy discontinuity. Registered images of the vineyard are anisotropic, therefore difficult to analyse.

Flavonoids, including flavonols, anthocyanins, and tannins, are important contributors to grape and wine quality, and their biosynthesis is strongly influenced by bunch microclimate.

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.