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 produc...

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Main Authors:	Burgess, Alexandra J., Retkute, Renata, Pound, Michael P., Mayes, Sean, Murchie, Erik H.
Format:	Article
Language:	English
Published:	Oxford Journals 2017
Online Access:	http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/8/mcw242.pdf

id	nottingham-39293
recordtype	eprints
spelling	nottingham-392932018-07-02T08:38:31Z http://eprints.nottingham.ac.uk/39293/ 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. 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 characterisation of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut (Vigna subterranea (L.) Verdc.) 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 stereocameras, 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 was 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 multispecies cropping systems; enables the quantification of dynamic physiological differences between crops grown as monoculture and those within intercrops or; enables the prediction of new productive combinations of previously untested crops. Oxford Journals 2017-01-08 Article PeerReviewed application/pdf en cc_by http://eprints.nottingham.ac.uk/39293/8/mcw242.pdf Burgess, Alexandra J. and Retkute, Renata and Pound, Michael P. and Mayes, Sean and Murchie, Erik H. (2017) Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems. Annals of Botany, 119 (4). pp. 517-532. ISSN 1095-8290 https://academic.oup.com/aob/article-lookup/doi/10.1093/aob/mcw242 doi:10.1093/aob/mcw242 doi:10.1093/aob/mcw242
repository_type	Digital Repository
institution_category	Local University
institution	University of Nottingham Malaysia Campus
building	Nottingham Research Data Repository
collection	Online Access
language	English
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 characterisation of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut (Vigna subterranea (L.) Verdc.) 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 stereocameras, 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 was 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 multispecies cropping systems; enables the quantification of dynamic physiological differences between crops grown as monoculture and those within intercrops or; enables the prediction of new productive combinations of previously untested crops.
format	Article
author	Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H.
spellingShingle	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
author_facet	Burgess, Alexandra J. Retkute, Renata Pound, Michael P. Mayes, Sean Murchie, Erik H.
author_sort	Burgess, Alexandra J.
title	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_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_sort	image-based 3d canopy reconstruction to determine potential productivity in complex multi-species crop systems
publisher	Oxford Journals
publishDate	2017
url	http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/ http://eprints.nottingham.ac.uk/39293/8/mcw242.pdf
first_indexed	2018-09-06T12:58:15Z
last_indexed	2018-09-06T12:58:15Z
_version_	1610863026613780480

Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems

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