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Authors
Radhakrishnan, Guru V.
Cook, Nicola M.
Bueno-Sancho, Vanessa
Lewis, Clare M.
Persoons, Antoine
Mitiku, Abel Debebe
Heaton, Matthew
Davey, Phoebe E.
Abeyo, Bekele
Alemayehu, Yoseph
Badebo, Ayele
Barnett, Marla
Bryant, Ruth
Chatelain, Jeron
Chen, Xianming
Dong, Suomeng
Henriksson, Tina
Holdgate, Sarah
Justesen, Annemarie F.
Kalous, Jay
Kang, Zhensheng
Laczny, Szymon
Legoff, Jean-Paul
Lesch, Driecus
Richards, Tracy
Randhawa, Harpinder S.
Thach, Tine
Wang, Meinan
Hovmøller, Mogens S.
Hodson, David P.
Saunders, Diane G. O. http://orcid.org/0000-0003-2847-5721
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Funding
Funding for this research was provided by:
Biotechnology and Biological Sciences Research Council (BB/J004553/1 and BB/P012574/1, BB/GCRF-IAA/11 and BB/GCRF-IAA/17/11, BB/M011216/1, BBS/OS/GC/000013A, BB/N503964/2)
H2020 European Research Council (715638)
John Innes Foundation (.)
CGIAR Platform for Big Data in Agriculture Inspire Challenge
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License Information
Text and Data Mining valid from 2019-08-13
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More Information
Article History
Received: 12 March 2019
Accepted: 23 July 2019
First Online: 13 August 2019
Ethics approval and consent to participate
: Not applicable for this study.
: Not applicable for this study.
: The authors declare that they have no competing interests.
