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…

Approaches to the classification of wine aroma aging potential. Applications to the case of Valpolicella red wines

Unlike most of other foods, wine sensory quality is thought to reach a peak after an aging period. In the case of the Valpolicella red wines

Sensory profile of wines obtained from disease-resistant varieties in La Rioja

The European wine industry is facing multiple challenges derived from climate change and the pressure of different fungal diseases that are compromising the production of traditional varieties. A sustainable alternative maybe the adoption of resistant varieties.
In this study, we have evaluated the enological potential of 9 resistant varieties (5 white and 4 red varieties) in La Rioja. Microvinifications were carried out with three biological replications. Oenological parameters were very diverse with acid content varying from 2.6 g/L to 6.6 g/L.

Effects of stress memory on grapevine resilience in response to recurrent drought and recovery events 

Plants have evolved different strategies to cope with environmental stresses and, although still debated, it was observed that they can remember past stress occurrence.
Anatomical and physiological adjustments have been observed in different grapevine cultivars after repeated drought exposure, however epigenetic, transcriptional and biochemical changes associated with drought-primed ecological memory have been poorly studied.
This work was conceived to test whether exposure to recurring events of mild drought could prime vines to endure severe drought stress. Particularly, we investigated whether the expected improved stress tolerance of Vitis vinifera cv Nebbiolo plants subjected over years to moderate and long-lasting water stress events (WS-primed) depended on molecular memory phenomena or on resetting of stress-induced signals.

Impact of the ‘Pinot’-family on early ripening in cool climate viticulture varieties

‘Pinot Precoce Noir’ (PPN) is an early ripening clone of ‘Pinot Noir’ (PN). The phenological differentiation is visible by an about two weeks earlier onset of veraison. It was found that the early veraison locus Ver1 on chromosome 16, previously identified in ‘Calardis Musqué’, originated from PPN. A highly correlated SSR marker, namely GF16-Ver1, was developed and tested for its ability to molecularly differentiate between PPN and PN as well as its potential to trace individual descendants.

L’étude “terroirs d’Anjou”: un exemple de caractérisation intégrée des terroirs viticoles, utilisable à l’échelle parcellaire

Natural factors of the production (“terroir” and vintage) are known as an important element for identifying wines by their genuine typicité and their authenticity. The program “Terroirs d’Anjou” (1994-1999) aims at bringing the necessary scientific basis for a rational and reasoned exploitation of the terroir.