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CoverageTool: A semi-automated graphic software: applications for plant phenotyping

BACKGROUND: Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. CoverageTool is flexible multi-purpose software capable of area calculation in cm...

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Autores principales: Merchuk-Ovnat, Lianne, Ovnat, Zev, Amir-Segev, Orit, Kutsher, Yaarit, Saranga, Yehoshua, Reuveni, Moshe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683572/
https://www.ncbi.nlm.nih.gov/pubmed/31404403
http://dx.doi.org/10.1186/s13007-019-0472-2
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author Merchuk-Ovnat, Lianne
Ovnat, Zev
Amir-Segev, Orit
Kutsher, Yaarit
Saranga, Yehoshua
Reuveni, Moshe
author_facet Merchuk-Ovnat, Lianne
Ovnat, Zev
Amir-Segev, Orit
Kutsher, Yaarit
Saranga, Yehoshua
Reuveni, Moshe
author_sort Merchuk-Ovnat, Lianne
collection PubMed
description BACKGROUND: Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. CoverageTool is flexible multi-purpose software capable of area calculation in cm(2), as well as coverage area in percentages, suitable for a wide range of applications. RESULTS: Here we present a novel, semi-automated and robust tool for detailed characterization of visual plant traits. We demonstrate and discuss the application of this tool to quantify a broad spectrum of plant phenotypes/traits such as: tissue culture parameters, ground surface covered by annual plant canopy, root and leaf projected surface area, and leaf senescence area ratio. The CoverageTool software provides easy to use functions to analyze images. While use of CoverageTool involves subjective operator color selections, applying them uniformly to full sets of samples makes it possible to provide quantitative comparison between test subjects. CONCLUSION: The tool is simple and straightforward, yet suitable for the quantification of biological and environmental effects on a wide variety of visual plant traits. This tool has been very useful in quantifying different plant phenotypes in several recently published studies, and may be useful for many applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0472-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-66835722019-08-09 CoverageTool: A semi-automated graphic software: applications for plant phenotyping Merchuk-Ovnat, Lianne Ovnat, Zev Amir-Segev, Orit Kutsher, Yaarit Saranga, Yehoshua Reuveni, Moshe Plant Methods Software BACKGROUND: Characterization and quantification of visual plant traits is often limited to the use of tools and software that were developed to address a specific context, making them unsuitable for other applications. CoverageTool is flexible multi-purpose software capable of area calculation in cm(2), as well as coverage area in percentages, suitable for a wide range of applications. RESULTS: Here we present a novel, semi-automated and robust tool for detailed characterization of visual plant traits. We demonstrate and discuss the application of this tool to quantify a broad spectrum of plant phenotypes/traits such as: tissue culture parameters, ground surface covered by annual plant canopy, root and leaf projected surface area, and leaf senescence area ratio. The CoverageTool software provides easy to use functions to analyze images. While use of CoverageTool involves subjective operator color selections, applying them uniformly to full sets of samples makes it possible to provide quantitative comparison between test subjects. CONCLUSION: The tool is simple and straightforward, yet suitable for the quantification of biological and environmental effects on a wide variety of visual plant traits. This tool has been very useful in quantifying different plant phenotypes in several recently published studies, and may be useful for many applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-019-0472-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-06 /pmc/articles/PMC6683572/ /pubmed/31404403 http://dx.doi.org/10.1186/s13007-019-0472-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Merchuk-Ovnat, Lianne
Ovnat, Zev
Amir-Segev, Orit
Kutsher, Yaarit
Saranga, Yehoshua
Reuveni, Moshe
CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title_full CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title_fullStr CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title_full_unstemmed CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title_short CoverageTool: A semi-automated graphic software: applications for plant phenotyping
title_sort coveragetool: a semi-automated graphic software: applications for plant phenotyping
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683572/
https://www.ncbi.nlm.nih.gov/pubmed/31404403
http://dx.doi.org/10.1186/s13007-019-0472-2
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