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Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems
Background and Aims Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficult. However it is an essential component of product...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458713/ https://www.ncbi.nlm.nih.gov/pubmed/28065926 http://dx.doi.org/10.1093/aob/mcw242 |
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author | Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H. |
author_facet | Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H. |
author_sort | Burgess, Alexandra J. |
collection | PubMed |
description | Background and Aims Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficult. However it is an essential component of productivity. Here, a low-tech but high-resolution method is presented that can be applied to single- and multi-species cropping systems to facilitate characterization of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut (Vigna subterranea) and proso millet (Panicum miliaceum) have been used as an example and the new opportunities presented by this approach have been analysed. Methods Three-dimensional plant reconstruction, based on stereo cameras, combined with ray tracing was implemented to explore the light environment within the Bambara groundnut–proso millet intercropping system and associated monocrops. Gas exchange data were used to predict the total carbon gain of each component crop. Key Results The shading influence of the tall proso millet on the shorter Bambara groundnut results in a reduction in total canopy light interception and carbon gain. However, the increased leaf area index (LAI) of proso millet, higher photosynthetic potential due to the C4 pathway and sub-optimal photosynthetic acclimation of Bambara groundnut to shade means that increasing the number of rows of millet will lead to greater light interception and carbon gain per unit ground area, despite Bambara groundnut intercepting more light per unit leaf area. Conclusions Three-dimensional reconstruction combined with ray tracing provides a novel, accurate method of exploring the light environment within an intercrop that does not require difficult measurements of light interception and data-intensive manual reconstruction, especially for such systems with inherently high spatial possibilities. It provides new opportunities for calculating potential productivity within multi-species cropping systems, enables the quantification of dynamic physiological differences between crops grown as monoculture and those within intercrops, and enables the prediction of new productive combinations of previously untested crops. |
format | Online Article Text |
id | pubmed-5458713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54587132017-06-08 Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H. Ann Bot Research in Context Background and Aims Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficult. However it is an essential component of productivity. Here, a low-tech but high-resolution method is presented that can be applied to single- and multi-species cropping systems to facilitate characterization of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut (Vigna subterranea) and proso millet (Panicum miliaceum) have been used as an example and the new opportunities presented by this approach have been analysed. Methods Three-dimensional plant reconstruction, based on stereo cameras, combined with ray tracing was implemented to explore the light environment within the Bambara groundnut–proso millet intercropping system and associated monocrops. Gas exchange data were used to predict the total carbon gain of each component crop. Key Results The shading influence of the tall proso millet on the shorter Bambara groundnut results in a reduction in total canopy light interception and carbon gain. However, the increased leaf area index (LAI) of proso millet, higher photosynthetic potential due to the C4 pathway and sub-optimal photosynthetic acclimation of Bambara groundnut to shade means that increasing the number of rows of millet will lead to greater light interception and carbon gain per unit ground area, despite Bambara groundnut intercepting more light per unit leaf area. Conclusions Three-dimensional reconstruction combined with ray tracing provides a novel, accurate method of exploring the light environment within an intercrop that does not require difficult measurements of light interception and data-intensive manual reconstruction, especially for such systems with inherently high spatial possibilities. It provides new opportunities for calculating potential productivity within multi-species cropping systems, enables the quantification of dynamic physiological differences between crops grown as monoculture and those within intercrops, and enables the prediction of new productive combinations of previously untested crops. Oxford University Press 2017-03 2017-01-08 /pmc/articles/PMC5458713/ /pubmed/28065926 http://dx.doi.org/10.1093/aob/mcw242 Text en © The Author 2017. Published by Oxford University Press on behalf of the Annals of Botany Company. 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 in Context Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H. Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title | Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title_full | Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title_fullStr | Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title_full_unstemmed | Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title_short | Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems |
title_sort | image-based 3d canopy reconstruction to determine potential productivity in complex multi-species crop systems |
topic | Research in Context |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458713/ https://www.ncbi.nlm.nih.gov/pubmed/28065926 http://dx.doi.org/10.1093/aob/mcw242 |
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