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Plant phenomics, from sensors to knowledge

Tardieu, Fran�ois; Cabrera-Bosquet, Lloren�; Pridmore, Tony P.; Bennett, Malcolm J.

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Authors

Fran�ois Tardieu

Lloren� Cabrera-Bosquet

TONY PRIDMORE tony.pridmore@nottingham.ac.uk
Professor of Computer Science



Abstract

Major improvements in crop yield are needed to keep pace with population growth and climate change. While plant breeding efforts have greatly benefited from advances in genomics, profiling the crop phenome (i.e., the structure and function of plants) associated with allelic variants and environments remains a major technical bottleneck. Here, we review the conceptual and technical challenges facing plant phenomics. We first discuss how, given plants’ high levels of morphological plasticity, crop phenomics presents distinct challenges compared with studies in animals. Next, we present strategies for multi-scale phenomics, and describe how major improvements in imaging, sensor technologies and data analysis are now making high-throughput root, shoot, whole-plant and canopy phenomic studies possible. We then suggest that research in this area is entering a new stage of development, in which phenomic pipelines can help researchers transform large numbers of images and sensor data into knowledge, necessitating novel methods of data handling and modelling. Collectively, these innovations are helping accelerate the selection of the next generation of crops more sustainable and resilient to climate change, and whose benefits promise to scale from physiology to breeding and to deliver real world impact for ongoing global food security efforts.

Citation

Tardieu, F., Cabrera-Bosquet, L., Pridmore, T. P., & Bennett, M. J. (2017). Plant phenomics, from sensors to knowledge. Current Biology, 27(15), R770-R783. https://doi.org/10.1016/j.cub.2017.05.055

Journal Article Type Article
Acceptance Date Jun 12, 2017
Online Publication Date Aug 7, 2017
Publication Date 2017-08
Deposit Date Sep 15, 2017
Publicly Available Date Aug 8, 2018
Journal Current Biology
Print ISSN 0960-9822
Electronic ISSN 1879-0445
Publisher Cell Press
Peer Reviewed Peer Reviewed
Volume 27
Issue 15
Article Number R770-R783
Pages R770-R783
DOI https://doi.org/10.1016/j.cub.2017.05.055
Public URL https://nottingham-repository.worktribe.com/output/877029
Publisher URL http://www.sciencedirect.com/science/article/pii/S0960982217306218?via%3Dihub
Additional Information This article is maintained by: Elsevier; Article Title: Plant Phenomics, From Sensors to Knowledge; Journal Title: Current Biology; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cub.2017.05.055; Content Type: article; Copyright: © 2017 Elsevier Ltd.
Contract Date Sep 15, 2017

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