Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture
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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BioMed Central
2018
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| Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, DATA ANALYSIS, REGRESSION ANALYSIS, STATISTICAL METHODS, BAYESIAN THEORY, |
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dig-cimmyt-10883-195862023-11-15T14:54:45Z Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture Montesinos-Lopez, A. Montesinos-Lopez, O.A. De los Campos, G. Crossa, J. Burgueño, J. Luna-Vazquez, F.J. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY 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 2018-08-24T16:43:59Z 2018-08-24T16:43:59Z 2018 Article https://hdl.handle.net/10883/19586 10.1186/s13007-018-0321-8 English 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. Open Access PDF United Kingdom BioMed Central 14 Plant Methods 57 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY Montesinos-Lopez, A. Montesinos-Lopez, O.A. De los Campos, G. Crossa, J. Burgueño, J. Luna-Vazquez, F.J. Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| description |
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 |
| format |
Article |
| topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY DATA ANALYSIS REGRESSION ANALYSIS STATISTICAL METHODS BAYESIAN THEORY |
| author |
Montesinos-Lopez, A. Montesinos-Lopez, O.A. De los Campos, G. Crossa, J. Burgueño, J. Luna-Vazquez, F.J. |
| author_facet |
Montesinos-Lopez, A. Montesinos-Lopez, O.A. De los Campos, G. Crossa, J. Burgueño, J. Luna-Vazquez, F.J. |
| author_sort |
Montesinos-Lopez, A. |
| title |
Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| title_short |
Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| title_full |
Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| title_fullStr |
Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| title_full_unstemmed |
Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| title_sort |
correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture |
| publisher |
BioMed Central |
| publishDate |
2018 |
| url |
https://hdl.handle.net/10883/19586 |
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