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Missing Links in Predicting Berry Sunburn in Future Vineyards

Sunburn in grapevine berries is known as a recurring disorder causing severe yield losses and a decline in berry quality. The transition from healthy to sunburnt along a temporal trajectory is not fully understood. It is driven by light-boosted local heat impact and modulated by, e.g., past environm...

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Autores principales: Bahr, Christopher, Schmidt, Dominik, Kahlen, Katrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545822/
https://www.ncbi.nlm.nih.gov/pubmed/34712249
http://dx.doi.org/10.3389/fpls.2021.715906
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author Bahr, Christopher
Schmidt, Dominik
Kahlen, Katrin
author_facet Bahr, Christopher
Schmidt, Dominik
Kahlen, Katrin
author_sort Bahr, Christopher
collection PubMed
description Sunburn in grapevine berries is known as a recurring disorder causing severe yield losses and a decline in berry quality. The transition from healthy to sunburnt along a temporal trajectory is not fully understood. It is driven by light-boosted local heat impact and modulated by, e.g., past environments of the berry and its developmental state. Events of berry sunburn are often associated with heatwaves, indicating a link to climate change. In addition, the sensitivity of grapevine architecture to changing environmental condition indicates an urgent need to investigate and adapt mitigation strategies of berry sunburn in future vineyards. In this perspective, we want to identify missing links in predicting berry sunburn in vineyards and propose a modeling framework that may help us to investigate berry sunburn in future vineyards. For this, we propose to address open issues in both developing a model of berry sunburn and considering dynamic canopy growth, and canopy interaction with the environment and plant management such as shoot positioning or leaf removal. Because local environmental conditions drive sunburn, we aim at showing that identifying sunburn-reducing strategies in a vineyard under future environmental conditions can be supported by a modeling approach that integrates effects of management practices over time and takes grapevine architecture explicitly into account. We argue that functional-structural plant models may address such complex tasks. Once open issues are solved, they might be a promising tool to advance our knowledge on reducing risks of berry sunburn in silico.
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spelling pubmed-85458222021-10-27 Missing Links in Predicting Berry Sunburn in Future Vineyards Bahr, Christopher Schmidt, Dominik Kahlen, Katrin Front Plant Sci Plant Science Sunburn in grapevine berries is known as a recurring disorder causing severe yield losses and a decline in berry quality. The transition from healthy to sunburnt along a temporal trajectory is not fully understood. It is driven by light-boosted local heat impact and modulated by, e.g., past environments of the berry and its developmental state. Events of berry sunburn are often associated with heatwaves, indicating a link to climate change. In addition, the sensitivity of grapevine architecture to changing environmental condition indicates an urgent need to investigate and adapt mitigation strategies of berry sunburn in future vineyards. In this perspective, we want to identify missing links in predicting berry sunburn in vineyards and propose a modeling framework that may help us to investigate berry sunburn in future vineyards. For this, we propose to address open issues in both developing a model of berry sunburn and considering dynamic canopy growth, and canopy interaction with the environment and plant management such as shoot positioning or leaf removal. Because local environmental conditions drive sunburn, we aim at showing that identifying sunburn-reducing strategies in a vineyard under future environmental conditions can be supported by a modeling approach that integrates effects of management practices over time and takes grapevine architecture explicitly into account. We argue that functional-structural plant models may address such complex tasks. Once open issues are solved, they might be a promising tool to advance our knowledge on reducing risks of berry sunburn in silico. Frontiers Media S.A. 2021-10-12 /pmc/articles/PMC8545822/ /pubmed/34712249 http://dx.doi.org/10.3389/fpls.2021.715906 Text en Copyright © 2021 Bahr, Schmidt and Kahlen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Bahr, Christopher
Schmidt, Dominik
Kahlen, Katrin
Missing Links in Predicting Berry Sunburn in Future Vineyards
title Missing Links in Predicting Berry Sunburn in Future Vineyards
title_full Missing Links in Predicting Berry Sunburn in Future Vineyards
title_fullStr Missing Links in Predicting Berry Sunburn in Future Vineyards
title_full_unstemmed Missing Links in Predicting Berry Sunburn in Future Vineyards
title_short Missing Links in Predicting Berry Sunburn in Future Vineyards
title_sort missing links in predicting berry sunburn in future vineyards
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545822/
https://www.ncbi.nlm.nih.gov/pubmed/34712249
http://dx.doi.org/10.3389/fpls.2021.715906
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