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A meta-analysis of crop response patterns to nitrogen limitation for improved model representation
The representation of carbon-nitrogen (N) interactions in global models of the natural or managed land surface remains an important knowledge gap. To improve global process-based models we require a better understanding of how N limitation affects photosynthesis and plant growth. Here we present the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797162/ https://www.ncbi.nlm.nih.gov/pubmed/31622350 http://dx.doi.org/10.1371/journal.pone.0223508 |
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author | Seufert, Verena Granath, Gustaf Müller, Christoph |
author_facet | Seufert, Verena Granath, Gustaf Müller, Christoph |
author_sort | Seufert, Verena |
collection | PubMed |
description | The representation of carbon-nitrogen (N) interactions in global models of the natural or managed land surface remains an important knowledge gap. To improve global process-based models we require a better understanding of how N limitation affects photosynthesis and plant growth. Here we present the findings of a meta-analysis to quantitatively assess the impact of N limitation on source (photosynthate production) versus sink (photosynthate use) activity, based on 77 highly controlled experimental N availability studies on 11 crop species. Using meta-regressions, we find that it can be insufficient to represent N limitation in models merely as inhibiting carbon assimilation, because in crops complete N limitation more strongly influences leaf area expansion (-50%) than photosynthesis (-34%), while leaf starch is accumulating (+83%). Our analysis thus offers support for the hypothesis of sink limitation of photosynthesis and encourages the exploration of more sink-driven crop modelling approaches. We also show that leaf N concentration changes with N availability and that the allocation of N to Rubisco is reduced more strongly compared to other photosynthetic proteins at low N availability. Furthermore, our results suggest that different crop species show generally similar response patterns to N limitation, with the exception of leguminous crops, which respond differently. Our meta-analysis offers lessons for the improved depiction of N limitation in global terrestrial ecosystem models, as well as highlights knowledge gaps that need to be filled by future experimental studies on crop N limitation response. |
format | Online Article Text |
id | pubmed-6797162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67971622019-10-20 A meta-analysis of crop response patterns to nitrogen limitation for improved model representation Seufert, Verena Granath, Gustaf Müller, Christoph PLoS One Research Article The representation of carbon-nitrogen (N) interactions in global models of the natural or managed land surface remains an important knowledge gap. To improve global process-based models we require a better understanding of how N limitation affects photosynthesis and plant growth. Here we present the findings of a meta-analysis to quantitatively assess the impact of N limitation on source (photosynthate production) versus sink (photosynthate use) activity, based on 77 highly controlled experimental N availability studies on 11 crop species. Using meta-regressions, we find that it can be insufficient to represent N limitation in models merely as inhibiting carbon assimilation, because in crops complete N limitation more strongly influences leaf area expansion (-50%) than photosynthesis (-34%), while leaf starch is accumulating (+83%). Our analysis thus offers support for the hypothesis of sink limitation of photosynthesis and encourages the exploration of more sink-driven crop modelling approaches. We also show that leaf N concentration changes with N availability and that the allocation of N to Rubisco is reduced more strongly compared to other photosynthetic proteins at low N availability. Furthermore, our results suggest that different crop species show generally similar response patterns to N limitation, with the exception of leguminous crops, which respond differently. Our meta-analysis offers lessons for the improved depiction of N limitation in global terrestrial ecosystem models, as well as highlights knowledge gaps that need to be filled by future experimental studies on crop N limitation response. Public Library of Science 2019-10-17 /pmc/articles/PMC6797162/ /pubmed/31622350 http://dx.doi.org/10.1371/journal.pone.0223508 Text en © 2019 Seufert et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Seufert, Verena Granath, Gustaf Müller, Christoph A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title_full | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title_fullStr | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title_full_unstemmed | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title_short | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
title_sort | meta-analysis of crop response patterns to nitrogen limitation for improved model representation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797162/ https://www.ncbi.nlm.nih.gov/pubmed/31622350 http://dx.doi.org/10.1371/journal.pone.0223508 |
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