Interest in measuring the grape texture to characterise grapes from different cultivation areas – Example of Cabernet franc from the Loire Valley

Color is a key quality trait for grape berry and the producing wines. Berry color of red genotypes is mainly determined by the quantity and composition of anthocyanins accumulated in the skin and/or pulp. Both genetic and environmental factors could influence the quantity and composition of anthocyanins, while the underlying mechanisms are not fully clear. To explore the mechanisms underlying the diversity of anthocyanin accumulation in grape berry, we compared two grapevine genotypes showing distinct sensitivities to ABA-induced anthocyanin biosynthesis, where one genotype showed minor responses to exogenous ABA application while the other showed significant increase in anthocyanins after exogenous ABA application.

Merlot grapevine is the second wine cultivar most planted in the world and especially in the Bordeaux wine region. This cultivar has many advantages in producing high quality wine; however, in the last decade, climate change has increased the sugar concentration in berries at harvest and shortened the maturation cycle. If this has been up to now a great opportunity to improve wine quality profile, we are touching the tipping point. High sugar concentration at harvest induces high alcool content in wine which can negatively impact wine quality. There are many viticultural and oenological practices possible to limit this effect. In this study we focus on plant material through intra-varietal diversity of Merlot cultivar.

The conceptual image of a wine related to the terroir has consequences in technical terms. Among factors affecting the typicality, producers put forward the environmental factors of the terroir system

In this video recording of the IVES science meeting 2025, Marine Morel (EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave-d’Ornon, France) speaks about the role of rootstock and its genetic background in plant mineral status. This presentation is based on an original article accessible for free on OENO One.

In this study we have compared the predictive ability of two phenological models: a traditional Thermal Time (TT) and a version of the more recently develop Unified Model (UM).