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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| Main Authors: | , , , , , |
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| Format: | Article biblioteca |
| Language: | English |
| Published: |
BioMed Central
2018
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| Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, DATA ANALYSIS, REGRESSION ANALYSIS, STATISTICAL METHODS, BAYESIAN THEORY, |
| Online Access: | https://hdl.handle.net/10883/19586 |
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| Summary: | 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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