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SeedExtractor: An Open-Source GUI for Seed Image Analysis
Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software, SeedExtr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882627/ https://www.ncbi.nlm.nih.gov/pubmed/33597957 http://dx.doi.org/10.3389/fpls.2020.581546 |
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author | Zhu, Feiyu Paul, Puneet Hussain, Waseem Wallman, Kyle Dhatt, Balpreet K. Sandhu, Jaspreet Irvin, Larissa Morota, Gota Yu, Hongfeng Walia, Harkamal |
author_facet | Zhu, Feiyu Paul, Puneet Hussain, Waseem Wallman, Kyle Dhatt, Balpreet K. Sandhu, Jaspreet Irvin, Larissa Morota, Gota Yu, Hongfeng Walia, Harkamal |
author_sort | Zhu, Feiyu |
collection | PubMed |
description | Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software, SeedExtractor that determines seed size and shape (including area, perimeter, length, width, circularity, and centroid), and seed color with capability to process a large number of images in a time-efficient manner. In this context, our application takes ∼2 s for analyzing an image, i.e., significantly less compared to the other tools. As this software is open-source, it can be modified by users to serve more specific needs. The adaptability of SeedExtractor was demonstrated by analyzing scanned seeds from multiple crops. We further validated the utility of this application by analyzing mature-rice seeds from 231 accessions in Rice Diversity Panel 1. The derived seed-size traits, such as seed length, width, were used for genome-wide association analysis. We identified known loci for regulating seed length (GS3) and width (qSW5/GW5) in rice, which demonstrates the accuracy of this application to extract seed phenotypes and accelerate trait discovery. In summary, we present a publicly available application that can be used to determine key yield-related traits in crops. |
format | Online Article Text |
id | pubmed-7882627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78826272021-02-16 SeedExtractor: An Open-Source GUI for Seed Image Analysis Zhu, Feiyu Paul, Puneet Hussain, Waseem Wallman, Kyle Dhatt, Balpreet K. Sandhu, Jaspreet Irvin, Larissa Morota, Gota Yu, Hongfeng Walia, Harkamal Front Plant Sci Plant Science Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software, SeedExtractor that determines seed size and shape (including area, perimeter, length, width, circularity, and centroid), and seed color with capability to process a large number of images in a time-efficient manner. In this context, our application takes ∼2 s for analyzing an image, i.e., significantly less compared to the other tools. As this software is open-source, it can be modified by users to serve more specific needs. The adaptability of SeedExtractor was demonstrated by analyzing scanned seeds from multiple crops. We further validated the utility of this application by analyzing mature-rice seeds from 231 accessions in Rice Diversity Panel 1. The derived seed-size traits, such as seed length, width, were used for genome-wide association analysis. We identified known loci for regulating seed length (GS3) and width (qSW5/GW5) in rice, which demonstrates the accuracy of this application to extract seed phenotypes and accelerate trait discovery. In summary, we present a publicly available application that can be used to determine key yield-related traits in crops. Frontiers Media S.A. 2021-02-01 /pmc/articles/PMC7882627/ /pubmed/33597957 http://dx.doi.org/10.3389/fpls.2020.581546 Text en Copyright © 2021 Zhu, Paul, Hussain, Wallman, Dhatt, Sandhu, Irvin, Morota, Yu and Walia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Zhu, Feiyu Paul, Puneet Hussain, Waseem Wallman, Kyle Dhatt, Balpreet K. Sandhu, Jaspreet Irvin, Larissa Morota, Gota Yu, Hongfeng Walia, Harkamal SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title | SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title_full | SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title_fullStr | SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title_full_unstemmed | SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title_short | SeedExtractor: An Open-Source GUI for Seed Image Analysis |
title_sort | seedextractor: an open-source gui for seed image analysis |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882627/ https://www.ncbi.nlm.nih.gov/pubmed/33597957 http://dx.doi.org/10.3389/fpls.2020.581546 |
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