The effect of rootstock on water relations and gas exchange of Vitis vinifera cv. Xinomavro

Challenges associated with climate change, such as soil erosion and drought, have impacted viticulture across wine regions globally in recent decades. As winegrowers struggle to maintain yield and quality standards under these conditions, methods to adapt to and mitigate the impacts of climate change have become more prevalent. One potential mitigation strategy is to enhance symbiotic interaction of grapevine roots with arbuscular mycorrhizal fungi (AMF).

En France, la notion de Terroir a largement contribué à la réputation de nombreux vignobles. Elle a permis aussi d’accentuer la sensibilité des consommateurs, à la notion d’origine d’un produit. L’avenir de nombreux vignobles français semble lié à la capacité à innover en produisant des vins de qualité possédant en plus une typicité, aspect sensoriel susceptible de s’affirmer comme un facteur de vente auprès des futurs clients éduqués sur le plan du goût.

Climate change is causing a gap between the technological and phenolic maturity of grapes, resulting in wines with high alcohol content and low polyphenol concentration. Another phenomenon associated with high temperatures and whose effect is more pronounced if the harvest is delayed is the decrease in the acidity of the grapes, mainly in malic acid, and an increase in pH caused by the accumulation of potassium derived from the increase in temperature. Therefore, climate change and the effects it causes on the vine leads to unbalanced wines, with high alcohol content and lack of color, with green tannins, astringency and excessively low acidity if not corrected.

Grapevine rootstocks play a pivotal role in influencing scion vigor, yield, and fruit quality, making their selection critical for sustainable vineyard management.

Modern grapevine breeding programs have overcome many challenges using genomic selection, which has allowed breeders to make targeted selections at earlier stages in the breeding process. However, the cost of genetic testing may present a burden for some programs, and markers often struggle to accurately predict quantitative traits. Recent advances in high throughput, high-dimensional data have provoked investigation into the use of high-dimensional phenomics as a low-cost addition to the grape breeder’s toolkit that may offer advantages in predicting quantitative traits. High-dimensional secondary trait (HDST) data has been employed in annual crops for prediction of agriculturally important traits such as yield.