Syracuse

High-Throughput phenotyping for leaf-to-fruit ratio characterization in grapevine and its impact on sugar accumulation

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Ben Hamden, Jacem | Ley, Lionel | Reibel, Nicolas | Dumas, Vincent | Duchêne, Eric

Edité par CCSD -

International audience. Controlling sugar levels in grapes is a major challenge for adapting grapevine cultivation to climate change. Sugar levels, which vary widely between varieties, are influenced by factors such as the onset of riepening and the leaf-to-fruit ratio. While operational methods for leaf area quantification already exist, they are limited by their low throughput. The aim of this project is to develop high-throughput methods to characterize grapevine foliage and photosynthetic capacity, enabling an objective analysis of the "sugar accumulation" trait. To achieve this, we utilize phenotyping tools under natural conditions, including LiDAR sensors and high-resolution RGB cameras.

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