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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2017
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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. |
format | Online Article Text |
id | pubmed-5515311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
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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