terclim by ICS banner
IVES 9 IVES Conference Series 9 Screening table grape cultivars using cell wall ELISA and glycan microarrays for berry firmness and quality parameters

Screening table grape cultivars using cell wall ELISA and glycan microarrays for berry firmness and quality parameters

Abstract

The crunchy texture of table grapes is one of the key quality parameters during production. This varies from cultivar to cultivar, stage of harvest and vineyard performance. Cell wall properties are key drivers of berry quality (e.g., pericarp firmness and intactness) at harvest and beyond. Common practise amongst producers is to continuously monitor firmness by evaluating pericarp appearance of cross-sectioned berries prior to harvest. These qualitative methods can be quite arbitrary and imprecise in their execution, but more quantitative, yet simple and high-throughput methods to evaluate these cell wall polymers are not yet readily available. A promising avenue is to link carbohydrate arrays targeting cell wall polymers with more traditional biochemical methods with rapid infrared spectroscopy tools to ‘chemotype’ the cell walls of cultivars at specific stages of development (ripeness). We have integrated immunochemical datasets from over 15 different cultivars, such as ‘Crimson Seedless’ and ‘Prime’ which are well-known: with less well characterised cultivars such as ‘Autumn Crisp’ and ‘Sugar Crisp’ offering a means to ‘snapshot’ or ‘fingerprint’ the cell wall chemotype using spectroscopic methods. The ultimate aim would be to both provide new knowledge on berry cell walls of important cultivars as well as progressing the potential development of infrared sensing technology for predicting table grape cell wall quality (predicting if grapes will progress to soft or firm berries). The datasets and predictive models produced from this survey will be correlated with firmness and textural analysis performed on grape berries from different varieties and stages of ripeness.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

John P. Moore1*, Miguel Henriques1, Eugene Badenhorst1, Bodil JØrgensen2, Talitha Venter1

1 South African Grape and Wine Research Institute, Department of Viticulture and Oenology, Faculty of AgriSciences, Stellenbosch University, South Africa
2 Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark

Contact the author*

Keywords

Cell walls, ripeness, berry firmness, spectroscopy, cultivars

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Fluorescence spectroscopy with xgboost discriminant analysis for intraregional wine authentication

AIM: This study aimed to use simultaneous measurements of absorbance, transmittance, and fluorescence excitation-emission matrix (A-TEEM) combined with chemometrics as a rapid method to authenticate wines from three vintages within a single geographical indication (GI) according to their subregional variations

Feminin vs masculin: the sensorial opposition between chambolle-musigny and gevrey-chambertin wines and the socioeconomical construction of a terroir/taste wine paradigm

At least since de XIXth century, wine writers oppose quite often the wines from Gevrey-Chambertin to the wines from Chambolle-Musigny claiming that the former are more “masculine” (full-bodied, powerful tannins, leathery, rustic…) and the later more “feminine” (delicate, elegant, silky, flowery…).

Foliar application of specific inactivated yeast to enhance the varietal aroma precursors accumulation on cv. Traminer

The production of grapes with a balanced composition is one of the main goals that agronomists and oenologists pursue to produce premium quality wines.

Data deluge: Opportunities, challenges, and lessons of big data in a multidisciplinary project

Grapevine powdery mildew resistance is a key target for grape breeders and grape growers worldwide. The driver of the USDA-NIFA-SCRI VitisGen3 project is completing the pipeline from germplasm identification to QTL to candidate gene characterization to new cultivars to vineyards to consumers. This is a common thread across such projects internationally. We will discuss how our objectives and approaches leverage big data to advance this initiative, starting with genomics and computer vision phenotyping for gene discovery and genetic improvement. To manage and maintain resistances for long-term sustainability, growers will be trained through our nation-wide extension and outreach plan.

Grapevine nitrogen retrieval by hyperspectral sensing at the leaf and canopy level

Grapevine nitrogen (N) monitoring is essential for efficient N management plans that optimize fruit yield and quality while reducing fertilizer costs and the risk of environmental contamination. Unlike traditional vegetative-tissue sampling methods, remote sensing technologies, including hyperspectral imaging, have the potential to allow monitoring of the N status of entire vineyards at a per-vine resolution. However, differential N partitioning, variable spectral properties, and complex canopy structures hinder the development of a robust N retrieval algorithm. The present study aimed to establish a solid understanding of vine spectroscopic response at leaf and canopy levels by evaluating the different nitrogen retrieval approaches, including the radiative transfer model.