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How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures

BACKGROUND AND AIMS: Light interception is a key factor driving the functioning of wheat–pea intercrops. The sharing of light is related to the canopy structure, which results from the architectural parameters of the mixed species. In the present study, we characterized six contrasting pea genotypes...

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Autores principales: Barillot, Romain, Combes, Didier, Chevalier, Valérie, Fournier, Christian, Escobar-Gutiérrez, Abraham J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521318/
https://www.ncbi.nlm.nih.gov/pubmed/23240074
http://dx.doi.org/10.1093/aobpla/pls038
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author Barillot, Romain
Combes, Didier
Chevalier, Valérie
Fournier, Christian
Escobar-Gutiérrez, Abraham J.
author_facet Barillot, Romain
Combes, Didier
Chevalier, Valérie
Fournier, Christian
Escobar-Gutiérrez, Abraham J.
author_sort Barillot, Romain
collection PubMed
description BACKGROUND AND AIMS: Light interception is a key factor driving the functioning of wheat–pea intercrops. The sharing of light is related to the canopy structure, which results from the architectural parameters of the mixed species. In the present study, we characterized six contrasting pea genotypes and identified architectural parameters whose range of variability leads to various levels of light sharing within virtual wheat–pea mixtures. METHODOLOGY: Virtual plants were derived from magnetic digitizations performed during the growing cycle in a greenhouse experiment. Plant mock-ups were used as inputs of a radiative transfer model in order to estimate light interception in virtual wheat–pea mixtures. The turbid medium approach, extended to well-mixed canopies, was used as a framework for assessing the effects of leaf area index (LAI) and mean leaf inclination on light sharing. PRINCIPAL RESULTS: Three groups of pea genotypes were distinguished: (i) early and leafy cultivars, (ii) late semi-leafless cultivars and (iii) low-development semi-leafless cultivars. Within open canopies, light sharing was well described by the turbid medium approach and was therefore determined by the architectural parameters that composed LAI and foliage inclination. When canopy closure started, the turbid medium approach was unable to properly infer light partitioning because of the vertical structure of the canopy. This was related to the architectural parameters that determine the height of pea genotypes. Light capture was therefore affected by the development of leaflets, number of branches and phytomers, as well as internode length. CONCLUSIONS: This study provides information on pea architecture and identifies parameters whose variability can be used to drive light sharing within wheat–pea mixtures. These results could be used to build up the architecture of pea ideotypes adapted to multi-specific stands towards light competition.
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spelling pubmed-35213182012-12-13 How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures Barillot, Romain Combes, Didier Chevalier, Valérie Fournier, Christian Escobar-Gutiérrez, Abraham J. AoB Plants Research Articles BACKGROUND AND AIMS: Light interception is a key factor driving the functioning of wheat–pea intercrops. The sharing of light is related to the canopy structure, which results from the architectural parameters of the mixed species. In the present study, we characterized six contrasting pea genotypes and identified architectural parameters whose range of variability leads to various levels of light sharing within virtual wheat–pea mixtures. METHODOLOGY: Virtual plants were derived from magnetic digitizations performed during the growing cycle in a greenhouse experiment. Plant mock-ups were used as inputs of a radiative transfer model in order to estimate light interception in virtual wheat–pea mixtures. The turbid medium approach, extended to well-mixed canopies, was used as a framework for assessing the effects of leaf area index (LAI) and mean leaf inclination on light sharing. PRINCIPAL RESULTS: Three groups of pea genotypes were distinguished: (i) early and leafy cultivars, (ii) late semi-leafless cultivars and (iii) low-development semi-leafless cultivars. Within open canopies, light sharing was well described by the turbid medium approach and was therefore determined by the architectural parameters that composed LAI and foliage inclination. When canopy closure started, the turbid medium approach was unable to properly infer light partitioning because of the vertical structure of the canopy. This was related to the architectural parameters that determine the height of pea genotypes. Light capture was therefore affected by the development of leaflets, number of branches and phytomers, as well as internode length. CONCLUSIONS: This study provides information on pea architecture and identifies parameters whose variability can be used to drive light sharing within wheat–pea mixtures. These results could be used to build up the architecture of pea ideotypes adapted to multi-specific stands towards light competition. Oxford University Press 2012 2012-11-26 /pmc/articles/PMC3521318/ /pubmed/23240074 http://dx.doi.org/10.1093/aobpla/pls038 Text en Published by Oxford University Press on behalf of the Annals of Botany Company. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
spellingShingle Research Articles
Barillot, Romain
Combes, Didier
Chevalier, Valérie
Fournier, Christian
Escobar-Gutiérrez, Abraham J.
How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title_full How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title_fullStr How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title_full_unstemmed How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title_short How does pea architecture influence light sharing in virtual wheat–pea mixtures? A simulation study based on pea genotypes with contrasting architectures
title_sort how does pea architecture influence light sharing in virtual wheat–pea mixtures? a simulation study based on pea genotypes with contrasting architectures
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521318/
https://www.ncbi.nlm.nih.gov/pubmed/23240074
http://dx.doi.org/10.1093/aobpla/pls038
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