terclim by ICS banner
IVES 9 IVES Conference Series 9 High throughput winter pruning weight estimation based on wood volume evaluation 

High throughput winter pruning weight estimation based on wood volume evaluation 

Abstract

There is currently a real need to improve and speed-up phenotyping in experimental set-ups to increase the number of modalities studied. Accurate information acquisition on plant status with high-throughput capacity is the main appeal of on-board systems.

A proximal sensing camera for a proxy of winter pruning weight was tested. We estimated the shoot volume of the vine by image analysis using algorithms that integrate the local shoot section area estimate along the shoot skeleton obtained by a morphological distance transform.

The study was carried out on the GreffAdapt experimental vineyard in Guyot simple training and a canopy management using vertical trellising. The planting density is 6250 vines/ha with a row spacing of 1.6×1m. Five scions grafted onto 55 rootstocks are present and the combination rootstock×scion is different every five plants.

In 2021 and 2022, 10 different rows of 70 plants were phenotyped by photographing each plant with a resolution of 4 pixels/mm² and by the classical method, i.e. the weight of the winter pruning wood.

The results are that the winter pruning weight can be estimated at the fine scale of five vines with R²=0.68 in 2021 and 0.74 in 2022. Incrementing the wood density of the scion into our calculation improves the regression with R² reaching 0.81 in 2022. Our approach, in which the estimation is done on the entire visible shoots, showed better results than the only known approach used in commercial devices, which simply uses the linear intercepts of a laser beam along the vine row.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Marine Morel1*, Aymeric Deshayes2, Barna Keresztes2, Jean-Pierre Da Costa2,3, Elisa Marguerit1

1 EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave d’Ornon, France
2 Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F-33400 Talence, France
3 Bordeaux Sciences Agro, F-33175 Gradignan, France

Contact the author*

Keywords

vigour confered, field phenotyping, proximal sensing, precision viticulture, grapevine

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Caracterización sensorial y preferencias de los consumidores en vinos de crianza biológica elaborados a diferente graduación alcohólica

Las tendencias actuales del mercado apuntan hacia el consumo de vinos con menor contenido en alcohol, y, por otra parte, de vinos con características especiales y diferenciadoras, siendo los vinos con indicación geográfica o denominación de origen los más demandados.

Évolution de la surmaturation du cépage Chenin dans différents terroirs des Coteaux du Layon en relation avec les variables agroviticoles

The French “Coteaux du Layon” Appellation of Origin has built its Jarne on the production of sweet white wines. A network of experimental plots, based on the “terroir” concept, was established in 1990; it allows for the follow-up of the overripening behaviour of the grapes in relation with the agroviticultural parameters.

High-resolution aerial thermography for water stress estimation in grapevines

Aerial thermography has emerged as a promising tool for water stress detection in grapevines, but there are still challenges associated with this technology, particularly concerning the methodology employed to extract reliable canopy temperature values. This consideration is relevant especially in vertically trained vineyards, due to the presence of multiple surfaces which are captured by drone thermal cameras with high-resolution. To test the technology and the data analysis required, a field study was conducted during the 2022-2023 season in a model vineyard with multiple scions-rootstock combinations trained on a vertical shoot-positioning (VSP) system. Additionally, three irrigation regimes were implemented to introduce variability in water stress levels.

Heat requirements for grapevine varieties is essential information to adapt plant material in a changing climate

Precocity for fruit ripening is a genetically determined characteristic that is highly variable from one cultivar to another. In traditional wine-growing regions of Europe, growers have used this property to adapt the vines to local climatic conditions in order to maximize terroir expression

Modelling leaf water potential from physiological and meteorological variables – A machine learning approach

Viticulture is a key economic sector in the mediterranean region. However, climate change is affecting global viticulture, increasing the frequency of heatwaves and drought events.