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A data-mining approach for developing site-specific fertilizer response functions across the wheat-growing environments in Ethiopia – CORRIGENDUM

Published online by Cambridge University Press:  16 November 2022

Wuletawu Abera ,
Lulseged Tamene ,
Kindie Tesfaye ,
Daniel Jiménez ,
Hugo Dorado ,
Teklu Erkossa ,
Job Kihara ,
Jemal Seid Ahmed ,
Tilahun Amede  and
Julian Ramirez-Villegas
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Abstract

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Type
Corrigendum
Information
Experimental Agriculture , Volume 58 , 2022 , e45
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press

In the original publication of this manuscript funding support information was not included.

The funding support information has been updated in both the online PDF and HTML versions of this manuscript to the following:

‘This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation [INV-005460]. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission.’

The authors apologise for this error.

References

Abera, W., Tamene, L., Tesfaye, K., Jiménez, D., Dorado, H., Erkossa, T., … Ramirez-Villegas, J. (2022). A data-mining approach for developing site-specific fertilizer response functions across the wheat-growing environments in Ethiopia. Experimental Agriculture, 58, E9. doi: 10.1017/S0014479722000047 Google Scholar