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Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions

Identifying how various components of climate change will influence ecosystems and vegetation subsistence will be fundamental to mitigate negative effects. Climate change-induced waterlogging is understudied in comparison to temperature and CO(2). Grasslands are especially vulnerable through the con...

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Autores principales: Frisk, Carl A., Xistris-Songpanya, Georgianna, Osborne, Matthieu, Biswas, Yastika, Melzer, Rainer, Yearsley, Jon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387306/
https://www.ncbi.nlm.nih.gov/pubmed/35991411
http://dx.doi.org/10.3389/fpls.2022.954478
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author Frisk, Carl A.
Xistris-Songpanya, Georgianna
Osborne, Matthieu
Biswas, Yastika
Melzer, Rainer
Yearsley, Jon M.
author_facet Frisk, Carl A.
Xistris-Songpanya, Georgianna
Osborne, Matthieu
Biswas, Yastika
Melzer, Rainer
Yearsley, Jon M.
author_sort Frisk, Carl A.
collection PubMed
description Identifying how various components of climate change will influence ecosystems and vegetation subsistence will be fundamental to mitigate negative effects. Climate change-induced waterlogging is understudied in comparison to temperature and CO(2). Grasslands are especially vulnerable through the connection with global food security, with perennial ryegrass dominating many flood-prone pasturelands in North-western Europe. We investigated the effect of long-term waterlogging on phenotypic responses of perennial ryegrass using four common varieties (one diploid and three tetraploid) grown in atmospherically controlled growth chambers during two months of peak growth. The climate treatments compare ambient climatological conditions in North-western Europe to the RCP8.5 climate change scenario in 2050 (+2°C and 550 ppm CO(2)). At the end of each month multiple phenotypic plant measurements were made, the plants were harvested and then allowed to grow back. Using image analysis and principal component analysis (PCA) methodologies, we assessed how multiple predictors (phenotypic, environmental, genotypic, and temporal) influenced overall plant performance, productivity and phenotypic responses. Long-term waterlogging was found to reduce leaf-color intensity, with younger plants having purple hues indicative of anthocyanins. Plant performance and yield was lower in waterlogged plants, with tetraploid varieties coping better than the diploid one. The climate change treatment was found to reduce color intensities further. Flooding was found to reduce plant productivity via reductions in color pigments and root proliferation. These effects will have negative consequences for global food security brought on by increased frequency of extreme weather events and flooding. Our imaging analysis approach to estimate effects of waterlogging can be incorporated into plant health diagnostics tools via remote sensing and drone-technology.
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spelling pubmed-93873062022-08-19 Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions Frisk, Carl A. Xistris-Songpanya, Georgianna Osborne, Matthieu Biswas, Yastika Melzer, Rainer Yearsley, Jon M. Front Plant Sci Plant Science Identifying how various components of climate change will influence ecosystems and vegetation subsistence will be fundamental to mitigate negative effects. Climate change-induced waterlogging is understudied in comparison to temperature and CO(2). Grasslands are especially vulnerable through the connection with global food security, with perennial ryegrass dominating many flood-prone pasturelands in North-western Europe. We investigated the effect of long-term waterlogging on phenotypic responses of perennial ryegrass using four common varieties (one diploid and three tetraploid) grown in atmospherically controlled growth chambers during two months of peak growth. The climate treatments compare ambient climatological conditions in North-western Europe to the RCP8.5 climate change scenario in 2050 (+2°C and 550 ppm CO(2)). At the end of each month multiple phenotypic plant measurements were made, the plants were harvested and then allowed to grow back. Using image analysis and principal component analysis (PCA) methodologies, we assessed how multiple predictors (phenotypic, environmental, genotypic, and temporal) influenced overall plant performance, productivity and phenotypic responses. Long-term waterlogging was found to reduce leaf-color intensity, with younger plants having purple hues indicative of anthocyanins. Plant performance and yield was lower in waterlogged plants, with tetraploid varieties coping better than the diploid one. The climate change treatment was found to reduce color intensities further. Flooding was found to reduce plant productivity via reductions in color pigments and root proliferation. These effects will have negative consequences for global food security brought on by increased frequency of extreme weather events and flooding. Our imaging analysis approach to estimate effects of waterlogging can be incorporated into plant health diagnostics tools via remote sensing and drone-technology. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9387306/ /pubmed/35991411 http://dx.doi.org/10.3389/fpls.2022.954478 Text en Copyright © 2022 Frisk, Xistris-Songpanya, Osborne, Biswas, Melzer and Yearsley. 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
Frisk, Carl A.
Xistris-Songpanya, Georgianna
Osborne, Matthieu
Biswas, Yastika
Melzer, Rainer
Yearsley, Jon M.
Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title_full Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title_fullStr Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title_full_unstemmed Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title_short Phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
title_sort phenotypic variation from waterlogging in multiple perennial ryegrass varieties under climate change conditions
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387306/
https://www.ncbi.nlm.nih.gov/pubmed/35991411
http://dx.doi.org/10.3389/fpls.2022.954478
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