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Study on measurement method for apple root morphological parameters based on Labview
BACKGROUND: Traditional measurements of apple seedling roots often rely on manual measurements and existing root scanners on the market. Manual measurement requires a lot of labor and time, and subjective reasons may cause the uncertainty of data; root scanners have limited scanning size and expensi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905017/ https://www.ncbi.nlm.nih.gov/pubmed/31827581 http://dx.doi.org/10.1186/s13007-019-0535-4 |
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author | Liu, Yu Qian, Ji Yang, Xin Di, Bao Zhou, Juan |
author_facet | Liu, Yu Qian, Ji Yang, Xin Di, Bao Zhou, Juan |
author_sort | Liu, Yu |
collection | PubMed |
description | BACKGROUND: Traditional measurements of apple seedling roots often rely on manual measurements and existing root scanners on the market. Manual measurement requires a lot of labor and time, and subjective reasons may cause the uncertainty of data; root scanners have limited scanning size and expensive. In case of fruit roots, coverage and occlusion issues will occur, resulting in inaccurate results, but our research solved this problem. RESULTS: The background plate was selected according to the color of the seedling roots; the image of the roots of the collected apple seedlings was preprocessed with Vision Development Module by combining image and Labview. The root surface area, average root diameter, root length and root volume of apple seedlings were measured by combining root characteristic parameters algorithm. In order to verify the effectiveness of the proposed method, a set of measurement system for root morphology of apple seedlings was designed, and the measurement result was compared with the Canadian root system WinRHIZO 2016 (Canada). With application of SPSS v22.0 analysis, the significance P > 0.01 indicated that the difference was not significant. The relative error of surface area was less than 0.5%. The relative error of the average diameter and length of the root system was less than 0.1%, and the relative error of the root volume was less than 0.2%. CONCLUSIONS: It not only proved that the root surface area, average root diameter, root length and root volume of apple seedlings could be accurately measured by the method described herein, which was handy in operation, but also reduced the cost by 80–90% compared with the conventional scanner. |
format | Online Article Text |
id | pubmed-6905017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69050172019-12-11 Study on measurement method for apple root morphological parameters based on Labview Liu, Yu Qian, Ji Yang, Xin Di, Bao Zhou, Juan Plant Methods Research BACKGROUND: Traditional measurements of apple seedling roots often rely on manual measurements and existing root scanners on the market. Manual measurement requires a lot of labor and time, and subjective reasons may cause the uncertainty of data; root scanners have limited scanning size and expensive. In case of fruit roots, coverage and occlusion issues will occur, resulting in inaccurate results, but our research solved this problem. RESULTS: The background plate was selected according to the color of the seedling roots; the image of the roots of the collected apple seedlings was preprocessed with Vision Development Module by combining image and Labview. The root surface area, average root diameter, root length and root volume of apple seedlings were measured by combining root characteristic parameters algorithm. In order to verify the effectiveness of the proposed method, a set of measurement system for root morphology of apple seedlings was designed, and the measurement result was compared with the Canadian root system WinRHIZO 2016 (Canada). With application of SPSS v22.0 analysis, the significance P > 0.01 indicated that the difference was not significant. The relative error of surface area was less than 0.5%. The relative error of the average diameter and length of the root system was less than 0.1%, and the relative error of the root volume was less than 0.2%. CONCLUSIONS: It not only proved that the root surface area, average root diameter, root length and root volume of apple seedlings could be accurately measured by the method described herein, which was handy in operation, but also reduced the cost by 80–90% compared with the conventional scanner. BioMed Central 2019-12-11 /pmc/articles/PMC6905017/ /pubmed/31827581 http://dx.doi.org/10.1186/s13007-019-0535-4 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 | Research Liu, Yu Qian, Ji Yang, Xin Di, Bao Zhou, Juan Study on measurement method for apple root morphological parameters based on Labview |
title | Study on measurement method for apple root morphological parameters based on Labview |
title_full | Study on measurement method for apple root morphological parameters based on Labview |
title_fullStr | Study on measurement method for apple root morphological parameters based on Labview |
title_full_unstemmed | Study on measurement method for apple root morphological parameters based on Labview |
title_short | Study on measurement method for apple root morphological parameters based on Labview |
title_sort | study on measurement method for apple root morphological parameters based on labview |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905017/ https://www.ncbi.nlm.nih.gov/pubmed/31827581 http://dx.doi.org/10.1186/s13007-019-0535-4 |
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