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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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