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A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions


Type:
Article
Title:
A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions
Author:
De Los Campos, G.;
De Los Campos, G.
ORCID iD iconhttps://orcid.org/0000-0001-5692-7129
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Perez-Rodriguez, P.;
Perez-Rodriguez, P.
ORCID iD iconhttps://orcid.org/0000-0002-3202-1784
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Bogard, M.;
Bogard, M.
ORCID iD iconhttps://orcid.org/0000-0003-1349-8330
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Gouache, D.;
Crossa, J.
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Year:
2020
URI:
https://hdl.handle.net/10883/20960
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:
Nature Communications
Journal volume:
11
Journal issue:
1
Article number:
art. 4876
DOI:
10.1038/s41467-020-18480-y
Place of Publication:
London (United Kingdom)
Publisher:
Nature Publishing Group
Citation:
A data-driven simulation platform to predict cultivars’ performances under uncertain weather conditions. 2020. De Los Campos, G.; Perez-Rodriguez, P.; Bogard, M.; Gouache, D.; Crossa, J. 11 (1) DOI: 10.1038/s41467-020-18480-y Nature Publishing Group.

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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