The 16th International Terroir congress and the 3rd ClimWine symposium was organised jointly in Angers (France) from the 6 to 9 July 2026.
DOI of the book :
10.58233/terclim-2026
In the course of global warming a general decrease of frost days per year and in spring can be stated. However, in viticulture this matter of fact doesn´t lead to a reduction of the risk of damages to grapevines by late spring frost events.
Adjustments of viticultural practices are required to adapt to climate change. In particular, vineyard management that vary the fruit to leaf area ratio is an important option to maintain and enhance fruit quality.
A model of the developing berry was constructed with data from published studies as well as 13 varieties grown in Davis, CA (USA).
The aim of this study was to validate and implement different non-destructive methods of leaf area and leaf area index (LAI) determination in VSP trained grapevines (Vitis vinifera L. cv. Riesling) in a field trial comparing different management systems (i.e. integrated (GAP) and two different organic (European Union Regulation 834/07) management systems).
In viticulture, the timing of phenology is critical to optimize grape quality potential particularly so in cool climates. Flowering and veraison are key phenological stages for grapevines.
The aim of this study was to investigate the effect of leaf removal during two developmental stages on the compositional development of white Riesling (Vitis Vinifera L.).
This study aimed to determine and compare the vertical root system distribution of the regional vine cultivar Loureiro, once grafted on ten different rootstocks.
Identify and trace unambiguously the wine plants before and after planting is a key activity to give the buyer a guarantee of buying or using a certified plant.
Spectral parameters as the NDVI (Normalized Difference Vegetation Index) are helpful to monitor developing stages in vegetation, including the detection of water stress in vineyards.
Grape quality is a complex concept that refers to the simultaneous achievement of optimal levels in many parameters, thus single berry attributes data are not adequate to define grape suitability for a specific end use.