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

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The original article was published in Plant Methods 2018 14:46

Correction to: Plant Methods (2018) 14:46 https://doi.org/10.1186/s13007-018-0314-7

Unfortunately, in the original version [1] of this article, a funder note was missed out in the acknowledgement. The corrected acknowledgement is given below:

Acknowledgements

The authors thank all the field and lab assistants of CIMMYT’s Global Wheat Breeding Program who collected and processed the agronomic and breeding field data as well as the image data. The data used in this study was collected under projects supported by Bill and Melinda Gates Foundation and USAID.

Reference

  1. 1.

    Montesinos-Lopez A, Montesinos-Lopez OA, de los Campos G, Crossa J, Burgueño J, Luna‑Vazquez FJ. Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture. Plant Methods. 2018;14:46.

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Correspondence to Osval A. Montesinos-López or Gustavo de los Campos.

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Montesinos-López, A., Montesinos-López, O.A., Campos, G. et al. Correction to: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture. Plant Methods 14, 57 (2018) doi:10.1186/s13007-018-0321-8

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