terclim by ICS banner
IVES 9 IVES Conference Series 9 How sensor technologies combined with artificial intelligence increase the efficiency in grapevine breeding (research): current developments and future perspectives

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

Abstract

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.

Although aims, usage and expenses of applying digital tools differ, the requested outcome is similar: objective, precise and reliable data for plant evaluation with high spatial and temporal resolution. For grapevine research and breeding, fast and possibly non-destructive data acquisition is crucial in order to capture phenotypic behaviors throughout the season, e.g. plant health after heat waves (grape sunburn). Depending on the trait of interest, we established pipelines for high-throughput data acquisition under standardized lab conditions and for in-field applications by ground-based platforms. Automated data analysis is furthermore of outstanding importance to reliably extract phenotypic traits from sensor data without the need of permanent user interaction. Therefore, efficient sensors combined with AI-based data analysis are the most powerful tools we used to extract and predict complex traits like yield potential, canopy health (both using field images) or Botrytis bunch rot resilience.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Katja Herzog*, Anna Kicherer, Nagarjun Malagol, Ludger Hausmann, Oliver Trapp, Reinhard Töpfer

Julius Kühn-Institut, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany

Contact the author*

Keywords

High-throughput phenotyping, digital trait detection, yield prediction, grapevine health, quantitative trait locus (QTL) analysis

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Selecting green cover species in the under-trellis zone of Lower Austrian vineyards

The under-trellis zone of vineyards is a sensitive area through which vines cover a significant portion of their nutrient and water needs. Mechanical and chemical methods are applied to suppress competing and tall-growing weeds to ensure optimal vine growth conditions. In addition to higher operating costs and depending on the soil conditions, these practices might lead to a long-term reduction in soil fertility and biodiversity. The presented study aims to analyse the suitability and interspecies competition of a selected green cover mixture of five local herbaceous species as potential green cover mixture in the under-trellis area of Lower Austrian vineyards.

La zonazione della Franciacorta: il modello viticolo della DOCG

La Franciacorta è una piccola regione collinare della provincia di Brescia. Il territorio è molto eterogeneo sia dal punto di vista geologico, che geomorfologico e pedologico. Circa 1.000 ettari sono destinati alla produzione di uve Chardonnay, Pinot bianco e Pinot nero per il vino Franciacorta ottenuto unicamente utilizzando la lunga fermentazione naturale in bottiglia.

Unravelling Saccharomyces cerevisiae biosynthethic pathways of melatonin, serotonin and hydroxytyrosol  by UPLC-HRMS Isotopic labelling analysis

The main objective is to unravel the yeast biosynthetic pathways for MEL, SER and HT by using the respective labelled amino acids precursors: 15N2-L tryptophan and 13C-tyrosine.
The alcoholic fermentation experiments are performed with two different commercial
S cereviseae yeasts using synthetic must with the addition of the labelled compounds and the bioactive compounds were followed during the fermentation process. Six biological replicates of the fermentations were considered. MEL, SER and HT were analysed by UHPLC coupled to High Resolution Mass Spectrometry (HRMS). Accurate mass determination allowed to unequivocally distinguishing labelled and unlabelled compounds.

Hyperspectral imaging and Raman spectroscopy, nondestructive methods to assess wine grape composition

Grape composition is of high interest for producing quality wines. For that, grape analyses are necessary, and they still require sample preparation, whether with classical analyses or with NIR analyses.

Viticultural zoning in D.O.C. Ribeiro (Galicia, NW Spain)

L’AOC Ribeiro est la plus ancienne de Galice (NO de l’Espagne), avec une aire de production potentielle de 3.200 ha. Situé dans la région centrale de la vallée du Miño, le Ribeiro a un climat de tipe maritime tempéré qui se correspond avec la zone climatique II de Winkler.