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

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Jun 15, 2018
• Online Publication Date: Jul 19, 2018
• Publication Date: Feb 1, 2019
• Deposit Date: Jun 26, 2018
• Publicly Available Date: Jul 19, 2018
• Journal: Current Opinion in Biotechnology
• Print ISSN: 0958-1669
• Electronic ISSN: 1879-0429
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 55
• Pages: 1-8
• DOI: https://doi.org/10.1016/j.copbio.2018.06.002
• Public URL: https://nottingham-repository.worktribe.com/output/951064
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0958166918300521
• 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.
• Contract Date: Jun 26, 2018