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Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping


Type:
Article
Title:
Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping
Creator:
Hassan, M.A.;
Hassan, M.A.
ORCID iD iconhttps://orcid.org/0000-0001-7220-5716
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Mengjiao Yang;
Rasheed, A.;
ORCID iD icon
Rasheed, A.
ORCID iD iconhttps://orcid.org/0000-0003-2528-708X
ScopusScopus ID
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Xiuling Tian;
Reynolds, M.P.;
ORCID iD icon
Reynolds, M.P.
ORCID iD iconhttps://orcid.org/0000-0002-4291-4316
ScopusScopus ID
researcheridResearcher ID
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Xianchun Xia;
Xianchun Xia
ORCID iD iconhttps://orcid.org/0000-0003-2071-197X
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Yonggui Xiao;
Yonggui Xiao
ORCID iD iconhttps://orcid.org/0000-0002-3100-3429
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He Zhonghu
ORCID iD icon
He Zhonghu
ORCID iD iconhttps://orcid.org/0000-0003-1384-3712
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Year:
2021
URI:
https://hdl.handle.net/10883/21770
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Plant Physiology
Journal volume:
187
Journal issue:
4
Pages:
2623-2636
DOI:
10.1093/plphys/kiab431
Place of Publication:
USA
Publisher:
Oxford University Press
Citation:
Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping. 2021. 187 (4) DOI: 10.1093/plphys/kiab431 Oxford University Press.

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