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Uncovering the hidden half of plants using new advances in root phenotyping

Atkinson, Jonathan A.; Pound, Michael P.; Bennett, Malcolm J.; Wells, Darren M.

Authors

JONATHAN ATKINSON JONATHAN.ATKINSON@NOTTINGHAM.AC.UK
Future Food Beacon:Technologist in Phenomics

DARREN WELLS DARREN.WELLS@NOTTINGHAM.AC.UK
Principal Research Fellow



Abstract

© 2018 The Authors Major increases in crop yield are required to keep pace with population growth and climate change. Improvements to the architecture of crop roots promise to deliver increases in water and nutrient use efficiency but profiling the root phenome (i.e. its structure and function) represents a major bottleneck. We describe how advances in imaging and sensor technologies are making root phenomic studies possible. However, methodological advances in acquisition, handling and processing of the resulting ‘big-data’ is becoming increasingly important. Advances in automated image analysis approaches such as Deep Learning promise to transform the root phenotyping landscape. Collectively, these innovations are helping drive the selection of the next-generation of crops to deliver real world impact for ongoing global food security efforts.

Journal Article Type Article
Publication Date Feb 1, 2019
Journal Current Opinion in Biotechnology
Print ISSN 0958-1669
Electronic ISSN 1879-0429
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 55
Pages 1-8
APA6 Citation Atkinson, J. A., Pound, M. P., Bennett, M. J., & Wells, D. M. (2019). Uncovering the hidden half of plants using new advances in root phenotyping. Current Opinion in Biotechnology, 55, 1-8. https://doi.org/10.1016/j.copbio.2018.06.002
DOI https://doi.org/10.1016/j.copbio.2018.06.002
Publisher URL https://www.sciencedirect.com/science/article/pii/S0958166918300521
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
Additional Information This article is maintained by: Elsevier; Article Title: Uncovering the hidden half of plants using new advances in root phenotyping; Journal Title: Current Opinion in Biotechnology; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.copbio.2018.06.002; Content Type: article; Copyright: © 2018 The Authors. Published by Elsevier Ltd.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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