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Correction to : bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

Author: Montesinos-López, A.
Author: Montesinos-Lopez, O.A.
Author: De los Campos, G.
Author: Crossa, J.
Author: Burgueño, J.
Author: Luna-Vazquez, F.J.
Year: 2018
URI: https://hdl.handle.net/10883/19586
Descriptors: Agriculture
Descriptors: Bayesian theory
Descriptors: Statistical analysis
Abstract: Unfortunately, in the original version [1] of this article, a funder note was missed out in the acknowledgement. Te corrected acknowledgement is given below: Acknowledgements Te authors thank all the feld and lab assistants of CIMMYT’s Global Wheat Breeding Program who collected and processed the agronomic and breeding feld data as well as the image data. Te data used in this study was collected under projects supported by Bill and Melinda Gates Foundation and USAID
Language: English
Publisher: BioMed Central
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.
Type: Article
Place: United Kingdom
Journal issue: art. 57
Journal: Plant Methods
Journal volume: 14
DOI: 10.1186/s13007-018-0321-8


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    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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