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Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV)
Plant height (PH) is a key factor in maize (Zea mays L.) yield, biomass, and plant architecture. We investigated the PH of diverse maize inbred lines (117 temperate lines, 135 tropical lines) at four growth stages using unmanned aerial vehicle high-throughput phenotypic platforms (UAV-HTPPs). We ext...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401315/ https://www.ncbi.nlm.nih.gov/pubmed/30837510 http://dx.doi.org/10.1038/s41598-019-39448-z |
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author | Wang, Xiaqing Zhang, Ruyang Song, Wei Han, Liang Liu, Xiaolei Sun, Xuan Luo, Meijie Chen, Kuan Zhang, Yunxia Yang, Hao Yang, Guijun Zhao, Yanxin Zhao, Jiuran |
author_facet | Wang, Xiaqing Zhang, Ruyang Song, Wei Han, Liang Liu, Xiaolei Sun, Xuan Luo, Meijie Chen, Kuan Zhang, Yunxia Yang, Hao Yang, Guijun Zhao, Yanxin Zhao, Jiuran |
author_sort | Wang, Xiaqing |
collection | PubMed |
description | Plant height (PH) is a key factor in maize (Zea mays L.) yield, biomass, and plant architecture. We investigated the PH of diverse maize inbred lines (117 temperate lines, 135 tropical lines) at four growth stages using unmanned aerial vehicle high-throughput phenotypic platforms (UAV-HTPPs). We extracted PH data using an automated pipeline based on crop surface models and orthomosaic model. The correlation between UAV and manually measured PH data reached 0.95. Under temperate field conditions, temperate maize lines grew faster than tropical maize lines at early growth stages, but tropical lines grew faster at later growth stages and ultimately became taller than temperate lines. A genome-wide association study identified 68 unique quantitative trait loci (QTLs) for seven PH-related traits, and 35% of the QTLs coincided with those previously reported to control PH. Generally, different QTLs controlled PH at different growth stages, but eight QTLs simultaneously controlled PH and growth rate at multiple growth stages. Based on gene annotations and expression profiles, we identified candidate genes controlling PH. The PH data collected by the UAV-HTPPs were credible and the genetic mapping power was high. Therefore, UAV-HTPPs have great potential for use in studies on PH. |
format | Online Article Text |
id | pubmed-6401315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64013152019-03-08 Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) Wang, Xiaqing Zhang, Ruyang Song, Wei Han, Liang Liu, Xiaolei Sun, Xuan Luo, Meijie Chen, Kuan Zhang, Yunxia Yang, Hao Yang, Guijun Zhao, Yanxin Zhao, Jiuran Sci Rep Article Plant height (PH) is a key factor in maize (Zea mays L.) yield, biomass, and plant architecture. We investigated the PH of diverse maize inbred lines (117 temperate lines, 135 tropical lines) at four growth stages using unmanned aerial vehicle high-throughput phenotypic platforms (UAV-HTPPs). We extracted PH data using an automated pipeline based on crop surface models and orthomosaic model. The correlation between UAV and manually measured PH data reached 0.95. Under temperate field conditions, temperate maize lines grew faster than tropical maize lines at early growth stages, but tropical lines grew faster at later growth stages and ultimately became taller than temperate lines. A genome-wide association study identified 68 unique quantitative trait loci (QTLs) for seven PH-related traits, and 35% of the QTLs coincided with those previously reported to control PH. Generally, different QTLs controlled PH at different growth stages, but eight QTLs simultaneously controlled PH and growth rate at multiple growth stages. Based on gene annotations and expression profiles, we identified candidate genes controlling PH. The PH data collected by the UAV-HTPPs were credible and the genetic mapping power was high. Therefore, UAV-HTPPs have great potential for use in studies on PH. Nature Publishing Group UK 2019-03-05 /pmc/articles/PMC6401315/ /pubmed/30837510 http://dx.doi.org/10.1038/s41598-019-39448-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Xiaqing Zhang, Ruyang Song, Wei Han, Liang Liu, Xiaolei Sun, Xuan Luo, Meijie Chen, Kuan Zhang, Yunxia Yang, Hao Yang, Guijun Zhao, Yanxin Zhao, Jiuran Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title_full | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title_fullStr | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title_full_unstemmed | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title_short | Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) |
title_sort | dynamic plant height qtl revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (uav) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401315/ https://www.ncbi.nlm.nih.gov/pubmed/30837510 http://dx.doi.org/10.1038/s41598-019-39448-z |
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