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Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light

Leaf color is an important indicator when evaluating plant growth and responses to biotic/abiotic stress. Acquisition of images by digital cameras allows analysis and long-term storage of the acquired images. However, under field conditions, where light intensity can fluctuate and other factors (sha...

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Autores principales: Matsunaga, Tomoko M., Ogawa, Daisuke, Taguchi-Shiobara, Fumio, Ishimoto, Masao, Matsunaga, Sachihiro, Habu, Yoshiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society of Breeding 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515311/
https://www.ncbi.nlm.nih.gov/pubmed/28744185
http://dx.doi.org/10.1270/jsbbs.16169
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author Matsunaga, Tomoko M.
Ogawa, Daisuke
Taguchi-Shiobara, Fumio
Ishimoto, Masao
Matsunaga, Sachihiro
Habu, Yoshiki
author_facet Matsunaga, Tomoko M.
Ogawa, Daisuke
Taguchi-Shiobara, Fumio
Ishimoto, Masao
Matsunaga, Sachihiro
Habu, Yoshiki
author_sort Matsunaga, Tomoko M.
collection PubMed
description Leaf color is an important indicator when evaluating plant growth and responses to biotic/abiotic stress. Acquisition of images by digital cameras allows analysis and long-term storage of the acquired images. However, under field conditions, where light intensity can fluctuate and other factors (shade, reflection, and background, etc.) vary, stable and reproducible measurement and quantification of leaf color are hard to achieve. Digital scanners provide fixed conditions for obtaining image data, allowing stable and reliable comparison among samples, but require detached plant materials to capture images, and the destructive processes involved often induce deformation of plant materials (curled leaves and faded colors, etc.). In this study, by using a lightweight digital scanner connected to a mobile computer, we obtained digital image data from intact plant leaves grown in natural-light greenhouses without detaching the targets. We took images of soybean leaves infected by Xanthomonas campestris pv. glycines, and distinctively quantified two disease symptoms (brown lesions and yellow halos) using freely available image processing software. The image data were amenable to quantitative and statistical analyses, allowing precise and objective evaluation of disease resistance.
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spelling pubmed-55153112017-07-25 Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light Matsunaga, Tomoko M. Ogawa, Daisuke Taguchi-Shiobara, Fumio Ishimoto, Masao Matsunaga, Sachihiro Habu, Yoshiki Breed Sci Note Leaf color is an important indicator when evaluating plant growth and responses to biotic/abiotic stress. Acquisition of images by digital cameras allows analysis and long-term storage of the acquired images. However, under field conditions, where light intensity can fluctuate and other factors (shade, reflection, and background, etc.) vary, stable and reproducible measurement and quantification of leaf color are hard to achieve. Digital scanners provide fixed conditions for obtaining image data, allowing stable and reliable comparison among samples, but require detached plant materials to capture images, and the destructive processes involved often induce deformation of plant materials (curled leaves and faded colors, etc.). In this study, by using a lightweight digital scanner connected to a mobile computer, we obtained digital image data from intact plant leaves grown in natural-light greenhouses without detaching the targets. We took images of soybean leaves infected by Xanthomonas campestris pv. glycines, and distinctively quantified two disease symptoms (brown lesions and yellow halos) using freely available image processing software. The image data were amenable to quantitative and statistical analyses, allowing precise and objective evaluation of disease resistance. Japanese Society of Breeding 2017-06 2017-05-30 /pmc/articles/PMC5515311/ /pubmed/28744185 http://dx.doi.org/10.1270/jsbbs.16169 Text en Copyright © 2017 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Note
Matsunaga, Tomoko M.
Ogawa, Daisuke
Taguchi-Shiobara, Fumio
Ishimoto, Masao
Matsunaga, Sachihiro
Habu, Yoshiki
Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title_full Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title_fullStr Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title_full_unstemmed Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title_short Direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
title_sort direct quantitative evaluation of disease symptoms on living plant leaves growing under natural light
topic Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515311/
https://www.ncbi.nlm.nih.gov/pubmed/28744185
http://dx.doi.org/10.1270/jsbbs.16169
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