Plant phenomics, from sensors to knowledge
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...
| Main Authors: | , , , |
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| Format: | Article |
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Elsevier (Cell Press)
2017
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| Online Access: | https://eprints.nottingham.ac.uk/46415/ |
| _version_ | 1848797321049931776 |
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| author | Tardieu, François Cabrera-Bosquet, Llorenç Pridmore, Tony P. Bennett, Malcolm J. |
| author_facet | Tardieu, François Cabrera-Bosquet, Llorenç Pridmore, Tony P. Bennett, Malcolm J. |
| author_sort | Tardieu, François |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:02:01Z |
| format | Article |
| id | nottingham-46415 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:02:01Z |
| publishDate | 2017 |
| publisher | Elsevier (Cell Press) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-464152020-05-04T18:59:45Z https://eprints.nottingham.ac.uk/46415/ Plant phenomics, from sensors to knowledge Tardieu, François Cabrera-Bosquet, Llorenç Pridmore, Tony P. Bennett, Malcolm J. 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. Elsevier (Cell Press) 2017-08-07 Article PeerReviewed Tardieu, François, Cabrera-Bosquet, Llorenç, Pridmore, Tony P. and Bennett, Malcolm J. (2017) Plant phenomics, from sensors to knowledge. Current Biology, 27 (15). R770-R783. ISSN 1879-0445 http://www.sciencedirect.com/science/article/pii/S0960982217306218?via%3Dihub doi:10.1016/j.cub.2017.05.055 doi:10.1016/j.cub.2017.05.055 |
| spellingShingle | Tardieu, François Cabrera-Bosquet, Llorenç Pridmore, Tony P. Bennett, Malcolm J. Plant phenomics, from sensors to knowledge |
| title | Plant phenomics, from sensors to knowledge |
| title_full | Plant phenomics, from sensors to knowledge |
| title_fullStr | Plant phenomics, from sensors to knowledge |
| title_full_unstemmed | Plant phenomics, from sensors to knowledge |
| title_short | Plant phenomics, from sensors to knowledge |
| title_sort | plant phenomics, from sensors to knowledge |
| url | https://eprints.nottingham.ac.uk/46415/ https://eprints.nottingham.ac.uk/46415/ https://eprints.nottingham.ac.uk/46415/ |