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The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
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Missing Links in Predicting Berry Sunburn in Future Vineyards.

Christopher Bahr1, Dominik Schmidt1, Katrin Kahlen1

  • 1Department of Modeling and Systems Analysis, Hochschule Geisenheim University, Geisenheim, Germany.

Frontiers in Plant Science
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Summary

Grapevine berry sunburn, a major cause of yield loss, is poorly understood. A new modeling framework integrating canopy growth and management practices is proposed to predict and mitigate sunburn under climate change.

Keywords:
canopy architectureclimate changefunctional-structural plant modelgrapevineheatlight

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Area of Science:

  • Viticulture and Plant Physiology
  • Climate Change Adaptation
  • Agricultural Modeling

Background:

  • Berry sunburn is a significant viticulture issue, causing substantial yield and quality reductions.
  • The progression of sunburn and its relationship with environmental factors like heatwaves and light are not fully elucidated.
  • Grapevine architecture's sensitivity to environmental shifts necessitates adaptive mitigation strategies for future vineyards.

Purpose of the Study:

  • To identify knowledge gaps in predicting grapevine berry sunburn.
  • To propose a modeling framework for investigating berry sunburn under future climate scenarios.
  • To integrate dynamic canopy growth, environmental interactions, and management practices into a predictive model.

Main Methods:

  • Developing a predictive model for berry sunburn.
  • Incorporating dynamic grapevine canopy growth and its environmental interactions.
  • Considering plant management strategies like shoot positioning and leaf removal.
  • Utilizing functional-structural plant models to simulate complex vineyard dynamics.

Main Results:

  • The study proposes a novel modeling approach to address complex interactions driving berry sunburn.
  • The framework aims to simulate the effects of management practices on sunburn over time.
  • It emphasizes the explicit consideration of grapevine architecture in predictive models.

Conclusions:

  • Functional-structural plant models offer a promising avenue for *in silico* investigation of berry sunburn.
  • Addressing open issues in modeling can significantly advance knowledge on reducing sunburn risks.
  • This approach can support the identification of effective, data-driven sunburn-reducing strategies for future vineyards.