Red, Blue or Mix:  Choice of Optimal Light Qualities for Enhanced Plant Growth and Development through in silico Analysis

Andrew M. H. Chan; Miao Lin Pay; Jesper Christensen; Fei He; Laura Roden; Hafiz Ahmed; Mathias Foo

doi:10.1093/insilicoplants/diae008

Red, Blue or Mix: Choice of Optimal Light Qualities for Enhanced Plant Growth and Development through in silico Analysis

Andrew M. H. Chan, Miao Lin Pay, Jesper Christensen, Fei He, Laura Roden, Hafiz Ahmed, Mathias Foo

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Abstract

In smart greenhouse farming, the impact of light qualities on plant growth and development is crucial but lacks systematic identification of optimal combinations. This study addresses this gap by analysing various light properties' effects (photoperiod, intensity, ratio, light-dark order) on Arabidopsis thaliana growth using days-to-flower (DTF) and hypocotyl length as proxies to measure plant growth and development. After establishing suitable ranges through a comprehensive literature review, these properties varied within those ranges. Compared to white light, a 16-h cycle of blue light reduces DTF and hypocotyl length by 12 % and 3 %, respectively. Interestingly, similar results can be achieved using a shorter photoperiod of 14-h light (composed of 8 h of a mixture of 66.7 μmol m-2s-1 red and 800 μmol m-2s-1 blue lights (i.e. blue:red ratio of 12:1) followed by 6 h of monochromatic red light and 10-h dark. These findings offer potential for efficient growth light recipes in smart greenhouse farming, optimizing productivity while minimizing energy consumption.

Original language	English
Article number	diae008
Number of pages	17
Journal	In Silico Plants
Volume	6
Issue number	1
Early online date	6 Jun 2024
DOIs	https://doi.org/10.1093/insilicoplants/diae008
Publication status	Published - 2024

Bibliographical note

© The Author(s) 2024. Published by Oxford University Press on behalf of the Annals of Botany Company. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Accepted manuscripts are PDF versions of the author’s final manuscript, as accepted for publication by the journal but prior to copyediting or typesetting. They can be cited using the author(s), article title, journal title, year of online publication, and DOI. They will be replaced by the final typeset articles, which may therefore contain changes. The DOI will remain the same throughout.

Keywords

light quality
light order
photomorphogenesis,
flowering time
hypocotyl elongation
plant growth and development
smart greenhouse farming
photomorphogenesis
Flowering time

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1093/insilicoplants/diae008Licence: CC BY

diae008Accepted author manuscript, 586 KBLicence: CC BY

Cite this

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title = "Red, Blue or Mix: Choice of Optimal Light Qualities for Enhanced Plant Growth and Development through in silico Analysis",

abstract = "In smart greenhouse farming, the impact of light qualities on plant growth and development is crucial but lacks systematic identification of optimal combinations. This study addresses this gap by analysing various light properties' effects (photoperiod, intensity, ratio, light-dark order) on Arabidopsis thaliana growth using days-to-flower (DTF) and hypocotyl length as proxies to measure plant growth and development. After establishing suitable ranges through a comprehensive literature review, these properties varied within those ranges. Compared to white light, a 16-h cycle of blue light reduces DTF and hypocotyl length by 12 % and 3 %, respectively. Interestingly, similar results can be achieved using a shorter photoperiod of 14-h light (composed of 8 h of a mixture of 66.7 μmol m-2s-1 red and 800 μmol m-2s-1 blue lights (i.e. blue:red ratio of 12:1) followed by 6 h of monochromatic red light and 10-h dark. These findings offer potential for efficient growth light recipes in smart greenhouse farming, optimizing productivity while minimizing energy consumption.",

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AU - Ahmed, Hafiz

AU - Foo, Mathias

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N2 - In smart greenhouse farming, the impact of light qualities on plant growth and development is crucial but lacks systematic identification of optimal combinations. This study addresses this gap by analysing various light properties' effects (photoperiod, intensity, ratio, light-dark order) on Arabidopsis thaliana growth using days-to-flower (DTF) and hypocotyl length as proxies to measure plant growth and development. After establishing suitable ranges through a comprehensive literature review, these properties varied within those ranges. Compared to white light, a 16-h cycle of blue light reduces DTF and hypocotyl length by 12 % and 3 %, respectively. Interestingly, similar results can be achieved using a shorter photoperiod of 14-h light (composed of 8 h of a mixture of 66.7 μmol m-2s-1 red and 800 μmol m-2s-1 blue lights (i.e. blue:red ratio of 12:1) followed by 6 h of monochromatic red light and 10-h dark. These findings offer potential for efficient growth light recipes in smart greenhouse farming, optimizing productivity while minimizing energy consumption.

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