terclim by ICS banner
IVES 9 IVES Conference Series 9 Which potential for Near Infrared Spectroscopy to characterize rootstock effects on grapevines?

Which potential for Near Infrared Spectroscopy to characterize rootstock effects on grapevines?

Abstract

Developing rootstocks adapted to environmental constraints constitutes a key lever for grapevine adaptation to climate change. In this context, Near Infrared Spectroscopy (NIRS) could be used as a high-throughput phenotyping technique to simplify the study of rootstocks in grafted situations. This study is an exploratory analysis to evaluate the potential of NIRS acquired on grafted tissues to reveal rootstock effects as well as the plasticity of combinations of scion/rootstock to better characterize these interactions.
Through the study of 25 combinations (5 scions times 5 rootstocks) in a dedicated experimental vineyard, we showed that NIRS obtained from grafted tissues capture rootstock and scion/rootstock interaction signals, up to 20% of the total variance at specific wavelengths. Yet, the scion effect on the spectra remains dominant over the rootstock effect, which is also the case for agronomic traits. Using NIRS data on dried leaves, which were found to best capture the rootstock effect compared to measurements on wood or fresh leaves, spectral wavelengths specific to the rootstock effect could be identified.
Predictions at the vine level carried out on twenty-eight phenotypic traits showed that those related to phenology and vigor being were better predicted. Three spectral regions were consistently identified as contributing to predictions and to differences between scion/rootstock combinations. Using data from these regions yielded predictive models as accurate as those built with the entire spectral range, underlining that NIRS capture useful information related to the combination rootstock/scion which opens prospects towards the possibility of using this methodology in a breeding context.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Marie-Gabrielle Harribey1, Jean-Pascal Tandonnet2, Marine Morel2, Virginie Bouckenooghe3,4, Elisa Marguerit2, Vincent Segura4,5, Nathalie Ollat2*

1 UMR BIOGECO, Univ. Bordeaux, INRAE, CIRAD, 33 Cestas, France
2 EGFV, Univ.Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, 33882 Villenave d’Ornon, France
3 IFV, 30240, Le Grau du Roi, France
4 UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, 34398, Montpellier, France
5 UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier, 34398 Montpellier, France

Contact the author*

Keywords

NIRS, phenomic prediction, rootstock, scion/rootstock interaction, field phenotyping

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

VINIoT: Precision viticulture service for SMEs based on IoT sensors network

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

“Zonation”: interpretation and estimation of “Great zonation” (GZ) following the base methodology of “GRANDE FILIERA” (GF) (Great chain)

Dans des travaux précédents sur le zonage, on a traité de la « Grande Filière », du « terroir », du « territoire », de la «″Terra »″ (« Terre »”), des « Petits zonages ou sub-zonages », du « Grand Zonage », de la qualité (nous en avons classifié plus de quatre-vingt-dix), des « Grands Objectifs » (GO) de l’activité vitivinicole et des moyens utilisés pour les atteindre. Dans le « GRAND ZONAGE » (GZ) nous avons précisé que pour zoner, nous partons des aspects

Development and application of CRISPR/Cas in grapevine

The development and application of CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) technologies have revolutionized genome editing in plants due to its simplicity, high efficiency, and versatility. As an economically important fruit crop worldwide, grapevine genome editing using CRISPR/Cas technologies has also been reported these years. Here we introduce the development briefly of the most popular CRISPR/Cas9 system and also the state-of-the-art CRISPR technologies developed so far. Moreover, we summarize CRISPR/Cas9-mediated applications for gene functional study and trait improvement in grapevine.

How sensor technologies combined with artificial intelligence increase the efficiency in grapevine breeding (research): current developments and future perspectives

Viticulture and grapevine breeding programs have to face and adapt to the rapidly changing growing conditions due to the ongoing climate change, the scarcity of resources and the demand for sustainability within the whole value chain of wine production. In times of highly effective and cost-efficient genotyping technologies routinely applied in plant research and breeding, the need for comparable high-speed and high-resolution phenotyping tools has increased substantially. The disciplines of grapevine research, breeding and precision viticulture picked up this demand – mostly independent from each other – by the development, validation and establishment of different sensor technologies in order to extend management strategies or to transform labor-intensive and expensive phenotyping.

Practical Aspects of Viticultural Zoning In South Africa

Depuis 1973, une commission statutaire administre la législation qui régit le zonage vitivinicole en Afrique du Sud. La province «Le Cap de l’ouest» cerne toutes les zones viticoles sauf quatre unités. Pour la plupart, le Cap de l’ouest a un climat méditerranéen. Les zones viticoles – qui produisent les «vins d’origine» – sont des régions, des districts, des quartiers et des domaines. Les régions sont vastes, séparées par la topographie, par ex. des chaînes de montagnes et des fleuves. Généralement, chaque région représente une zone climatique. Le climat de chaque district est plus homogène. Les quartiers sont exactement délimités par le climat, la topographie et la géologie. Les domaines sont les plus petits. Chaque domaine doit avoir un seul propriétaire.