terclim by ICS banner
IVES 9 IVES Conference Series 9 Open-GPB 9 Open-GPB-2024 9 Flash - Abiotic interactions 9 Rootstock-scion contributions to seasonal water and light use diversity under field conditions

Rootstock-scion contributions to seasonal water and light use diversity under field conditions

Abstract

Cultivar and rootstock selection are two well-known strategies for adapting vine production in challenging environments. Despite the vast diversity of rootstocks and cultivars, their effective contribution to grapevine sustainable development and acclimation to changing growing conditions remains an open question. The use of robust and prompt monitoring tools can allow a powerful screening of the water status of the vineyard before considering a further detailed characterization. This study leveraged new tools to monitor the stomatal conductance (gs), transpiration rate (E), and quantum efficiency of photosystem II (ᶲPSII) throughout a season, from pre-veraison to after-harvest. The resulting dataset represent one of the largest and most comprehensive rootstock gas exchange studies to date, encompassing a broad range of rootstock-scion combinations: Grenache, Syrah and Cabernet Sauvignon cv. grafted onto the rootstocks 110R, 1103P, SO4, 5BB, 140Ru, and Fercal. A total of 45 measurements, distributed by three blocks, were undertaken per combination throughout eleven dates. Overall, the results show that water use diversity is driven primarily by the cultivar and to a much lesser extent the rootstocks, whose contribution is greatly influenced by environmental parameters (e.g. VPD, light, temperature, and precipitation) and vine development. Grenache cv. showed the lowest gs values during the experiment, displaying the most conservative water use strategy. On the other hand, light stress responses were more homogeneous across rootstock-scion combinations. Finally, the contribution of most rootstock-scion combinations was revealed to be complex and to vary greatly across the season.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Sara Bernardo1*, Hannah Chepy1, Marine Morel1, Elisa Marguerit1, Gregory A. Gambetta1

1UMR EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, Institute of Vine and Wine Science/ISVV, Villenave d’Ornon, France

Contact the author*

Keywords

gas exchange, grapevine, stomatal conductance, stress responses, water status

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Un Système d’Informations à Références Spatiales sur le Vignoble. Un outil performant d’aide aux recherches sur la caractérisation des terroirs viticoles

The “Terroirs d’Anjou” project led by the Agronomy sector of the Vine and Wine Research Unit of the INRA center in Angers aims to characterize the viticultural terroirs in a study area which includes 29 municipalities in the Maine et Loire and cuts across the Anjou, Coteaux du layon and Coteaux de l’Aubance appellation areas.

Climat et sol: critères d’évaluation et effets sur le comportement de la vigne

Le zonage viticole aborde en premier lieu la caractérisation des macroclimats aux échelles des grandes régions, pays, continents ou monde (géoviticulture).

Enhancing vine resilience and protecting grape production in Mediterranean vineyards: the role of anti-hail shading nets and kaolin applications

Climate change and rising temperatures present a substantial challenge to viticulture, intensifying summer heat stress and accelerating berry ripening.

The use of microwaves during the maceration of Cabernet Sauvignon wines for improving their chromatic characteristics

The use of new technologies such as microwaves (MW) arose in recent years as an efficient alternative to reduce the use of sulfur dioxide (SO2) and as a method for improving wines in terms of color and aroma [1, 2]. MW (non-ionizing electromagnetic waves with frequencies between 300 MHz and 300 GHz) have been widely applied in the food industry in order to reduce processing time and favor food preservation.

Assessing bunch architecture for grapevine yield forecasting by image analysis

It is fundamental for wineries to know the potential yield of their vineyards as soon as possible for future planning of winery logistics. As such, non-invasive image-based methods are being investigated for early yield prediction. Many of these techniques have limitations that make it difficult to implement for practical use commercially. The aim of this study was to assess whether yield can be estimated using images taken in-field with a smartphone at different phenological stages. The accuracy of the method for predicting bunch weight at different phenological stages was assessed for seven different varieties.