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Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat
Accurate predictions of the timing of physiological stages and the development rate are crucial for predicting crop performance under field conditions. Plant development is controlled by the leaf appearance rate (LAR) and our understanding of how LAR responds to environmental factors is still limite...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487592/ https://www.ncbi.nlm.nih.gov/pubmed/30785619 http://dx.doi.org/10.1093/jxb/erz012 |
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author | Baumont, Maeva Parent, Boris Manceau, Loïc Brown, Hamish E Driever, Steven M Muller, Bertrand Martre, Pierre |
author_facet | Baumont, Maeva Parent, Boris Manceau, Loïc Brown, Hamish E Driever, Steven M Muller, Bertrand Martre, Pierre |
author_sort | Baumont, Maeva |
collection | PubMed |
description | Accurate predictions of the timing of physiological stages and the development rate are crucial for predicting crop performance under field conditions. Plant development is controlled by the leaf appearance rate (LAR) and our understanding of how LAR responds to environmental factors is still limited. Here, we tested the hypothesis that carbon availability may account for the effects of irradiance, photoperiod, atmospheric CO(2) concentration, and ontogeny on LAR. We conducted three experiments in growth chambers to quantify and disentangle these effects for both winter and spring wheat cultivars. Variations of LAR observed between environmental scenarios were well explained by the supply/demand ratio for carbon, quantified using the photothermal quotient. We therefore developed an ecophysiological model based on the photothermal quotient that accounts for the effects of temperature, irradiance, photoperiod, and ontogeny on LAR. Comparisons of observed leaf stages and LAR with simulations from our model, from a linear thermal-time model, and from a segmented linear thermal-time model corrected for sowing date showed that our model can simulate the observed changes in LAR in the field with the lowest error. Our findings demonstrate that a hypothesis-driven approach that incorporates more physiology in specific processes of crop models can increase their predictive power under variable environments. |
format | Online Article Text |
id | pubmed-6487592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64875922019-05-03 Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat Baumont, Maeva Parent, Boris Manceau, Loïc Brown, Hamish E Driever, Steven M Muller, Bertrand Martre, Pierre J Exp Bot Research Papers Accurate predictions of the timing of physiological stages and the development rate are crucial for predicting crop performance under field conditions. Plant development is controlled by the leaf appearance rate (LAR) and our understanding of how LAR responds to environmental factors is still limited. Here, we tested the hypothesis that carbon availability may account for the effects of irradiance, photoperiod, atmospheric CO(2) concentration, and ontogeny on LAR. We conducted three experiments in growth chambers to quantify and disentangle these effects for both winter and spring wheat cultivars. Variations of LAR observed between environmental scenarios were well explained by the supply/demand ratio for carbon, quantified using the photothermal quotient. We therefore developed an ecophysiological model based on the photothermal quotient that accounts for the effects of temperature, irradiance, photoperiod, and ontogeny on LAR. Comparisons of observed leaf stages and LAR with simulations from our model, from a linear thermal-time model, and from a segmented linear thermal-time model corrected for sowing date showed that our model can simulate the observed changes in LAR in the field with the lowest error. Our findings demonstrate that a hypothesis-driven approach that incorporates more physiology in specific processes of crop models can increase their predictive power under variable environments. Oxford University Press 2019-04-15 2019-02-20 /pmc/articles/PMC6487592/ /pubmed/30785619 http://dx.doi.org/10.1093/jxb/erz012 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers Baumont, Maeva Parent, Boris Manceau, Loïc Brown, Hamish E Driever, Steven M Muller, Bertrand Martre, Pierre Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title | Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title_full | Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title_fullStr | Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title_full_unstemmed | Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title_short | Experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
title_sort | experimental and modeling evidence of carbon limitation of leaf appearance rate for spring and winter wheat |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487592/ https://www.ncbi.nlm.nih.gov/pubmed/30785619 http://dx.doi.org/10.1093/jxb/erz012 |
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