Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV)

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV) ; volume:9 ; number:1 ; day:5 ; month:3 ; year:2019 ; pages:1-10 ; date:12.2019
Scientific reports ; 9, Heft 1 (5.3.2019), 1-10, 12.2019

Creator: 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

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-019-39448-z

URN: urn:nbn:de:101:1-2019032413302195934327

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:57 AM CEST

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Associated

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
SpringerLink (Online service)

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Dynamic plant height QTL revealed in maize through remote sensing phenotyping using a high-throughput unmanned aerial vehicle (UAV)

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