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Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of genomics and environment on plants, limiting the progress of smart breeding and precise cultivation. High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits. Proximal and...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700174/ https://www.ncbi.nlm.nih.gov/pubmed/35655429 http://dx.doi.org/10.1016/j.xplc.2022.100344 |
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author | Tao, Haiyu Xu, Shan Tian, Yongchao Li, Zhaofeng Ge, Yan Zhang, Jiaoping Wang, Yu Zhou, Guodong Deng, Xiong Zhang, Ze Ding, Yanfeng Jiang, Dong Guo, Qinghua Jin, Shichao |
author_facet | Tao, Haiyu Xu, Shan Tian, Yongchao Li, Zhaofeng Ge, Yan Zhang, Jiaoping Wang, Yu Zhou, Guodong Deng, Xiong Zhang, Ze Ding, Yanfeng Jiang, Dong Guo, Qinghua Jin, Shichao |
author_sort | Tao, Haiyu |
collection | PubMed |
description | Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of genomics and environment on plants, limiting the progress of smart breeding and precise cultivation. High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits. Proximal and remote sensing (PRS) techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis. Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications. This progress covers most aspects of PRS application in PP, including patterns of global spatial distribution and temporal dynamics, specific PRS technologies, phenotypic research fields, working environments, species, and traits. Subsequently, we demonstrate how to link PRS to multi-omics studies, including how to achieve multi-dimensional PRS data acquisition and processing, how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance, and how to link PP to multi-omics association analysis. Finally, we identify three future perspectives for PRS-based PP: (1) strengthening the spatial and temporal consistency of PRS data, (2) exploring novel phenotypic traits, and (3) facilitating multi-omics communication. |
format | Online Article Text |
id | pubmed-9700174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97001742022-11-27 Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives Tao, Haiyu Xu, Shan Tian, Yongchao Li, Zhaofeng Ge, Yan Zhang, Jiaoping Wang, Yu Zhou, Guodong Deng, Xiong Zhang, Ze Ding, Yanfeng Jiang, Dong Guo, Qinghua Jin, Shichao Plant Commun Review Article Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of genomics and environment on plants, limiting the progress of smart breeding and precise cultivation. High-throughput plant phenotyping is challenging owing to the spatio-temporal dynamics of traits. Proximal and remote sensing (PRS) techniques are increasingly used for plant phenotyping because of their advantages in multi-dimensional data acquisition and analysis. Substantial progress of PRS applications in PP has been observed over the last two decades and is analyzed here from an interdisciplinary perspective based on 2972 publications. This progress covers most aspects of PRS application in PP, including patterns of global spatial distribution and temporal dynamics, specific PRS technologies, phenotypic research fields, working environments, species, and traits. Subsequently, we demonstrate how to link PRS to multi-omics studies, including how to achieve multi-dimensional PRS data acquisition and processing, how to systematically integrate all kinds of phenotypic information and derive phenotypic knowledge with biological significance, and how to link PP to multi-omics association analysis. Finally, we identify three future perspectives for PRS-based PP: (1) strengthening the spatial and temporal consistency of PRS data, (2) exploring novel phenotypic traits, and (3) facilitating multi-omics communication. Elsevier 2022-06-02 /pmc/articles/PMC9700174/ /pubmed/35655429 http://dx.doi.org/10.1016/j.xplc.2022.100344 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Tao, Haiyu Xu, Shan Tian, Yongchao Li, Zhaofeng Ge, Yan Zhang, Jiaoping Wang, Yu Zhou, Guodong Deng, Xiong Zhang, Ze Ding, Yanfeng Jiang, Dong Guo, Qinghua Jin, Shichao Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title_full | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title_fullStr | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title_full_unstemmed | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title_short | Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
title_sort | proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700174/ https://www.ncbi.nlm.nih.gov/pubmed/35655429 http://dx.doi.org/10.1016/j.xplc.2022.100344 |
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