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MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network

Large-scale high-throughput plant phenotyping (sometimes called phenomics) is becoming increasingly important in plant biology and agriculture and is essential to cutting-edge plant breeding and management approaches needed to meet the food and fuel needs for the next century. Currently, the applica...

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Autores principales: Kuhlgert, Sebastian, Austic, Greg, Zegarac, Robert, Osei-Bonsu, Isaac, Hoh, Donghee, Chilvers, Martin I., Roth, Mitchell G., Bi, Kevin, TerAvest, Dan, Weebadde, Prabode, Kramer, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099005/
https://www.ncbi.nlm.nih.gov/pubmed/27853580
http://dx.doi.org/10.1098/rsos.160592
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author Kuhlgert, Sebastian
Austic, Greg
Zegarac, Robert
Osei-Bonsu, Isaac
Hoh, Donghee
Chilvers, Martin I.
Roth, Mitchell G.
Bi, Kevin
TerAvest, Dan
Weebadde, Prabode
Kramer, David M.
author_facet Kuhlgert, Sebastian
Austic, Greg
Zegarac, Robert
Osei-Bonsu, Isaac
Hoh, Donghee
Chilvers, Martin I.
Roth, Mitchell G.
Bi, Kevin
TerAvest, Dan
Weebadde, Prabode
Kramer, David M.
author_sort Kuhlgert, Sebastian
collection PubMed
description Large-scale high-throughput plant phenotyping (sometimes called phenomics) is becoming increasingly important in plant biology and agriculture and is essential to cutting-edge plant breeding and management approaches needed to meet the food and fuel needs for the next century. Currently, the application of these approaches is severely limited by the availability of appropriate instrumentation and by the ability to communicate experimental protocols, results and analyses. To address these issues, we have developed a low-cost, yet sophisticated open-source scientific instrument designed to enable communities of researchers, plant breeders, educators, farmers and citizen scientists to collect high-quality field data on a large scale. The MultispeQ provides measurements in the field or laboratory of both, environmental conditions (light intensity and quality, temperature, humidity, CO(2) levels, time and location) and useful plant phenotypes, including photosynthetic parameters—photosystem II quantum yield (Φ(II)), non-photochemical exciton quenching (NPQ), photosystem II photoinhibition, light-driven proton translocation and thylakoid proton motive force, regulation of the chloroplast ATP synthase and potentially many others—and leaf chlorophyll and other pigments. Plant phenotype data are transmitted from the MultispeQ to mobile devices, laptops or desktop computers together with key metadata that gets saved to the PhotosynQ platform (https://photosynq.org) and provides a suite of web-based tools for sharing, visualization, filtering, dissemination and analyses. We present validation experiments, comparing MultispeQ results with established platforms, and show that it can be usefully deployed in both laboratory and field settings. We present evidence that MultispeQ can be used by communities of researchers to rapidly measure, store and analyse multiple environmental and plant properties, allowing for deeper understanding of the complex interactions between plants and their environment.
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spelling pubmed-50990052016-11-16 MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network Kuhlgert, Sebastian Austic, Greg Zegarac, Robert Osei-Bonsu, Isaac Hoh, Donghee Chilvers, Martin I. Roth, Mitchell G. Bi, Kevin TerAvest, Dan Weebadde, Prabode Kramer, David M. R Soc Open Sci Biology (Whole Organism) Large-scale high-throughput plant phenotyping (sometimes called phenomics) is becoming increasingly important in plant biology and agriculture and is essential to cutting-edge plant breeding and management approaches needed to meet the food and fuel needs for the next century. Currently, the application of these approaches is severely limited by the availability of appropriate instrumentation and by the ability to communicate experimental protocols, results and analyses. To address these issues, we have developed a low-cost, yet sophisticated open-source scientific instrument designed to enable communities of researchers, plant breeders, educators, farmers and citizen scientists to collect high-quality field data on a large scale. The MultispeQ provides measurements in the field or laboratory of both, environmental conditions (light intensity and quality, temperature, humidity, CO(2) levels, time and location) and useful plant phenotypes, including photosynthetic parameters—photosystem II quantum yield (Φ(II)), non-photochemical exciton quenching (NPQ), photosystem II photoinhibition, light-driven proton translocation and thylakoid proton motive force, regulation of the chloroplast ATP synthase and potentially many others—and leaf chlorophyll and other pigments. Plant phenotype data are transmitted from the MultispeQ to mobile devices, laptops or desktop computers together with key metadata that gets saved to the PhotosynQ platform (https://photosynq.org) and provides a suite of web-based tools for sharing, visualization, filtering, dissemination and analyses. We present validation experiments, comparing MultispeQ results with established platforms, and show that it can be usefully deployed in both laboratory and field settings. We present evidence that MultispeQ can be used by communities of researchers to rapidly measure, store and analyse multiple environmental and plant properties, allowing for deeper understanding of the complex interactions between plants and their environment. The Royal Society 2016-10-26 /pmc/articles/PMC5099005/ /pubmed/27853580 http://dx.doi.org/10.1098/rsos.160592 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biology (Whole Organism)
Kuhlgert, Sebastian
Austic, Greg
Zegarac, Robert
Osei-Bonsu, Isaac
Hoh, Donghee
Chilvers, Martin I.
Roth, Mitchell G.
Bi, Kevin
TerAvest, Dan
Weebadde, Prabode
Kramer, David M.
MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title_full MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title_fullStr MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title_full_unstemmed MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title_short MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network
title_sort multispeq beta: a tool for large-scale plant phenotyping connected to the open photosynq network
topic Biology (Whole Organism)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5099005/
https://www.ncbi.nlm.nih.gov/pubmed/27853580
http://dx.doi.org/10.1098/rsos.160592
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