terclim by ICS banner
IVES 9 IVES Conference Series 9 Coping with extreme climatic events: some lessons from recent work on grapevine under heat peak

Coping with extreme climatic events: some lessons from recent work on grapevine under heat peak

Abstract

Climate change critically challenges viticulture. Among other threats, extreme and increasingly frequent heatwaves cause irreversible burns on leaves and bunches. A series of observations and experiments was conducted to better understand how leaf burns originate and whether genetics or management practices can mitigate them. In 2019, a panel of 279 potted cultivars of Vitis vinifera L. grown outdoors suffered a heat peak and a genetic origin of leaf burn variability was demonstrated. To deeper explore this variability, fourteen cultivars were selected for their contrasting responses to high temperatures, and detached leaves were submitted to a controlled increase in temperature up to 50 °C in a growth chamber. A significant genotypic effect on leaf burn was confirmed on detached leaves like on whole plants outdoors, although with a different ranking of the varieties. As the air temperature in the growth chamber and during the 2019 heat peak evolved similarly, we hypothesized that other conditions, including light or evaporative demand, may have differentially favored one or other of the different physiological determinants of leaf burn. Therefore, in parallel with the development of burns on detached leaves exposed to high temperature in the growth chamber, changes in leaf temperature, transpiration rate, membrane damages and chlorophyll fluorescence were monitored. Significant differences between cultivars in leaf temperature and in the reduction of maximum photosynthesis yield were highlighted. Genetic variation in leaf burns correlated with some of these physiological responses paving the way to the identification of genotypes or conditions with minimal symptoms.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Laurine Chir1, Lison Lepilleur1, Romain Boulord1, Stéphane Berhézène1, Renaud Fournier1, Llorenç Cabrera-Bosquet1, Thierry Simonneau1, Aude Coupel-Ledru1

1 LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France

Contact the author*

Keywords

heatwave, genetic variability, leaf burn, chlorophyll fluorescence, hydraulics

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

INFLUENCE OF THE THICKNESS OF OAK ALTERNATIVES ON THE COMPOSITION AND QUALITY OF RED WINES

Aging red wines in oak barrels is an expensive and laborious process that can only be applied to wines with a certain added value. For this reason, the use of oak alternatives coupled with micro-oxygenation has progressively increased over recent years, because it can reproduce the processes taking place in the barrels more economically and quickly [1]. Several studies have explored how oak alternatives [2-5] can contribute to wine composition and quality but little is known about the influence of their thickness.

Updating the Winkler index: An analysis of Cabernet sauvignon in Napa Valley’s varied and changing climate

This study aims to create an updated, agile viticultural climate index (similar to the Winkler Index) by performing in-depth analyses of current and historical data from industry partners in several major winegrowing regions. The Winkler Index was developed in the early twentieth century based on analysis of various grape-growing regions in California. The index uses heat accumulation (i.e. Growing Degree Days) throughout the growing season to determine which grape varieties are best suited to each region. As viticultural regions are increasingly subject to the complexity and uncertainty of a changing climate, a more rigorous, agile model is needed to aid grape growers in determining which cultivars to plant where. For the first phase of this study, 21 industry partners throughout Napa Valley shared historical phenology, harvest, viticultural practice, and weather data related to their Cabernet sauvignon vineyard blocks. To complement this data, berry samples were collected throughout the 2021 growing season from 50 vineyard blocks located throughout 16 American Viticultural Areas that were then analyzed for basic berry chemistry and phenolics. These blocks have been mapped using a Geographic Information System (GIS), enabling analysis of altitude, vineyard row orientation, slope, and remotely sensed climate data. Sampling sites were also chosen based on their proximity to a weather station. By analyzing historical data from industry partners and data specifically collected for this study, it is possible to identify key parameters for further analysis. Initial results indicate extreme variability at a high spatial resolution not currently accounted for in modern viticultural climate indices and suggest that viticultural practices play a major role. Using the structure of data collection and analyses developed for the first phase, this project will soon be expanded to other wine regions globally, while continuing data collection in Napa Valley.

Towards AI-guided process metrics with the rapid prediction of red wine mouthfeel

Mouthfeel is a key component of red wine sensory perceptions and impacts consumer preference for certain wine styles.

An analytical framework to site-specifically study climate influence on grapevine involving the functional and Bayesian exploration of farm data time series synchronized using an eGDD thermal index

Climate influence on grapevine physiology is prevalent and this influence is only expected to increase with climate change. Although governed by a general determinism, climate influence on grapevine physiology may present variations according to the terroir. In addition, these site-specific differences are likely to be enhanced when climate influence is studied using farm data. Indeed, farm data integrate additional sources of variation such as a varying representativity of the conditions actually experienced in the field. Nevertheless, there is a real challenge in valuing farm data to enable grape growers to understand their own terroir and consequently adapt their practices to the local conditions. In such a context, this article proposes a framework to site-specifically study climate influence on grapevine physiology using farm data. It focuses on improving the analysis of time series of weather data. The analytical framework includes the synchronization of time series using site-specific thermal indices computed with an original method called Extended Growing Degree Days (eGDD). Synchronized time series are then analyzed using a Bayesian functional Linear regression with Sparse Steps functions (BLiSS) in order to detect site-specific periods of strong climate influence on yield development. The article focuses on temperature and rain influence on grape yield development as a case study. It uses data from three commercial vineyards respectively situated in the Bordeaux region (France), California (USA) and Israel. For all vineyards, common periods of climate influence on yield development were found. They corresponded to already known periods, for example around veraison of the year before harvest. However, the periods differed in their precise timing (e.g. before, around or after veraison), duration and correlation direction with yield. Other periods were found for only one or two vineyards and/or were not referred to in literature, for example during the winter before harvest.

The Cornell Grapevine Breeding Program: developing disease-resistant cultivars for more sustainable wine production

The Cornell Grapevine Breeding Program (CGBP), based at Cornell AgriTech in Geneva, New York, develops new wine grape cultivars adapted to the northeastern United States (US) and other cool-climate regions.