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…

Effect of abiotic stress and grape variety on amino acid and polyamine composition of red grape berries

Vines are exposed to environmental conditions that cause abiotic stress on the plants (drought, nutrient and mineral deficits, salinity, etc.). Polyamines are growth regulators involved in various physiological processes, as in abiotic plant stress responses. Stressful conditions can modify grape’s composition, and in this work, we have focused on studying the effect of abiotic stress on the composition of polyamines and amino acids in grapes. In addition, the effect of grape variety on these compounds has been studied.

Basic Terroir Unit (U.T.B.) and quality control label for honey; making the designations of origin (A.O.C) and« crus » more coherent

Considérant d’une part la judicieuse mise au point d’un label de qualité contrôlée des miels suisses (STÖCKLI et al. 1997), considérant d’autre part l’élaboration d’une carte des paysages végétaux (HEGG et al. 1993),

Identification of aroma markers in amarone wines

Amarone is an Italian red wine produced in the Valpolicella area, in north-eastern Italy. Due to its elaboration with withered grapes, Amarone is a rather unique example of dry red wine. However, there is very limited data so far concerning the volatile composition of commercial Amarone wines, which also undergo a cask aging of 2-4 years before release. The present work aims at characterizing the aroma composition of Amarone and to elucidate the relationships between chemical composition and sensory characters. The analysis of 17 Amarone commercial wines from the same vintage (2015) was carried out by means of Gas Chromatography-Mass Spectrometry (GC-MS) and extracted by Solid Phase Extraction (SPE) and Solid Phase Micro Extraction (SPME). In addition, the sampled wines were subjected to a sensory evaluation in the form of sorting task.RESULTS: 70 volatile compounds were successfully identified and quantified, 30 of which were present in concentrations above their odor thresholds in all the samples. Using the odor activity value (OAV), the compounds that potentially contribute to Amarone perceived aroma are b-damascenone, ethyl and isoamyl acetate, ethyl esters (hexanoate, octanoate, butanoate, 3-methybutanoate), 4-ethyl guaiacol, 3-methylbutanoic acid, dimethyl sulfide (DMS), eugenol, massoia lactone, 1,4-cineol, TDN, cis/trans-whisky lactone. In certain samples, high OAVs were also observed for 4-ethyl phenol and 1,8-cineole.Results from the sorting task sensory analysis showed three clusters formed.

Characterization of varieties named ‘Caiño’ cultivated from Northwest of Spain

The ‘Caiño’ cultivar was cultivated in Galicia (Northwestern Spain) before the invasion of grape phylloxera. Genetic diversity from this cultivar have been described and considered as originating in Galicia, ‘Caiño Tinto’, ‘Caiño Bravo’, ‘Caiño Redondo’, ‘Caiño Longo’ and ‘Caiño Blanco’.

Can minimal pruning be a strategy to adapt grape ripening to global warming?

Berry maturation in warm areas takes place very early, when temperatures are still high and favorable for carbohydrate synthesis and accumulation in the berries, but not as favorable for maintaining high titratable acidity or low pH, or for increasing berry polyphenol content. Different canopy management techniques have been proven to delay berry maturation at the expense of yield (severe canopy trimming, late spring pruning to induce sprouting of dormant buds, etc.). Minimal pruning delays berry ripening by highly increasing yield and by reducing the leaf area to fruit ratio.