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

By: Montesinos-Lopez, A.
Contributor(s): Montesinos-Lopez, O.A | De los Campos, G | Crossa, J | Burgueño, J | Luna-Vazquez, F.J.
Material type: materialTypeLabelArticlePublisher: United Kingdom : BioMed Central, 2018Other Relationship Entry (R): Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture Subject(s): Agriculture | Bayesian theory | Statistical methods | Data analysis | Regression analysisOnline resources: Open Access through Dspace In: Plant Methods v. 14, art. 57Summary: 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
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Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

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Open Access

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.

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

Text in English

Montesinos-Lopez, O.A. : Non-active scientist CIMMYT Informa : 2021 (Octubre 15, 2018)

De los Campos, G. : Non-active scientist

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