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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9387306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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