terclim by ICS banner
IVES 9 IVES Conference Series 9 Diversity of leaf functioning under water deficit in a large grapevine panel: high throughput phenotyping and genetic analyses

Diversity of leaf functioning under water deficit in a large grapevine panel: high throughput phenotyping and genetic analyses

Abstract

Water resource is a major limiting factor impacted by climate change that threatens grapevine production and quality. Understanding the ecophysiological mechanisms involved in the response to water deficit is crucial to select new varieties more drought tolerant. A major bottleneck that hampers such advances is the lack of methods for measuring fine functioning traits on thousands of plants as required for genetic analyses. This study aimed at investigating how water deficit affects the trade-off between carbon gains and water losses in a large panel representative of the Vitis vinifera genetic diversity. 250 genotypes were grown under 3 watering scenarios (well-watered, moderate and severe water deficit) in a high-throughput phenotyping platform. To assess traits related to carbon and water functioning on the whole panel, we deployed an original approach where 120 leaves of 40 genotypes were phenotyped combining low-throughput devices to precisely measure ecophysiological traits, as well as innovative, portable high-throughput devices to measure near infrared reflectance, porometry and chlorophyll fluorescence. These data allowed us to build cutting-edge statistical models, such as multiblock models, which jointly use data from different devices, for predicting ecophysiological traits. Models for predicting photosynthesis and transpiration were accurate enough to be applied on the entire panel, only measured with high-throughput devices. Such predictions highlighted a wide range of genotypic variability and contrasting responses to water deficit. Multi-traits and Multi-Environment Genome Wide Association Studies further revealed genomic regions associated with these responses, and underlying candidate genes are being investigated. 

Download the abstract

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Eva Coindre1,2*, Laurine Chir2, Maxime Ryckewaert3, Romain Boulord2, Mélyne Falcon2, Thomas Laisné2, Gaëlle Rolland2, Maëlle Lis2, Llorenç Cabrera-Bosquet2, Agnès Doligez1, Thierry Simonneau2, Benoît Pallas2, Aude Coupel-Ledru2, Vincent Segura1,4

1 AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
2 LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
3 Inria, LIRMM, Univ Montpellier, CNRS, Montpellier, France
4 UMT Geno-Vigne, IFV, INRAE, Montpellier, France

Contact the author*

Keywords

water deficit, high throughput phenotyping, prediction, photosynthesis/transpiration coupling, GWAS

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Characterising the chemical typicality of regional Cabernet Sauvignon wines

Aim: To define the uniqueness of Australian Cabernet Sauvignon wines by evaluation of the chemical composition (volatile aroma and non-volatile constituents) that may drive regional typicity, and to correlate this with comprehensive sensory analysis data to identify the most important compounds driving relevant sensory attributes.

Read More

Conservation of intravarietal diversity in France: exhaustive overview and perspectives

Since the renewal of the French vineyard after the Phylloxera crisis, the panorama of cultivated varieties has dramatically changed. This current genetic erosion is due to the increasing interest

Read More

Within-vineyard variability in grape composition at the estate scale can be assessed through machine-learning modeling of plant water status in space and time. A case study from the hills of Adelaida District AVA, Paso Robles, CA, USA

Aim: Through machine-learning modelling of plant water status from environmental characteristics, this work aims to develop a model able to predict grape phenolic composition in space and time to guide selective harvest decisions at the estate scale.

Read More

Vino e paesaggio: materiali per il governo del territorio vitivinicolo. Il piano regolatore delle città del vino

S’intende per Piano Regolatore delle Città del Vino la metodologia per redigere la parte strutturale dello strumento comunale di governo del territorio. Parliamo, infatti, del principale strumento comunale di governo del territorio, così come è venuto maturando nella riflessione delle Città del Vino, strumento che si misura con la sfida di governare tutto il territorio in modo coerente e sostenibile, a partire dal riconoscimento del valore del “sistema vigneto” e della sua intrinseca fragilità.

Read More

Importance of the Terror Variability Map (TVM) in Precision viticulture (PV): choice of methodology for soil classification

The Precision Viticulture (PV) is defined “as a management system that is information and technology based, is site specific and uses one or more of the following sources of data: soils, vigour, nutrients, pests, moisture, and yield among others, for optimum profitability, sustainability, and protection of the environment” (OIV, 2018, in process). The elements mentioned in the definition are an important part of the terroir components. The terroir is a tool In Viticulture, it is the analysis and study unit, and the variability of a certain situation can be due to any difference in every element or property of each factor that constitutes it, including the management.The soil and its management are those that bring the most variability to terroir.

Read More