Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

doi:10.1016/j.xplc.2022.100344

CORC > 植物研究所 > 中国科学院植物研究所 > 中科院植物分子生理学重点实验室

	Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
	Tao, Haiyu ; Xu, Shan ; Tian, Yongchao ; Li, Zhaofeng 2; Ge, Yan ; Zhang, Jiaoping 8; Wang, Yu ; Zhou, Guodong 7; Deng, Xiong 4; Zhang, Ze 2
刊名	PLANT COMMUNICATIONS
	2022
卷号	3 期号:6
关键词	plant phenomics remote sensing phenotyping phenotypic traits multi-omics breeding precision cultivation
ISSN号	2590-3462
DOI	10.1016/j.xplc.2022.100344
文献子类	Review
英文摘要	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.
学科主题	Biochemistry & Molecular Biology ; Plant Sciences
出版地	AMSTERDAM
WOS关键词	LEAF-AREA INDEX ; INDUCED CHLOROPHYLL FLUORESCENCE ; BAND BACKSCATTERING COEFFICIENTS ; HYPERSPECTRAL VEGETATION INDEXES ; RESOLUTION SATELLITE SAR ; ACTIVE OPTICAL SENSOR ; LOW-COST ASSESSMENT ; WINTER-WHEAT ; NITROGEN STATUS ; BIOPHYSICAL VARIABLES
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000922799300001
资助机构	Hainan Yazhou Bay Seed Lab [B21HJ1005] ; Fundamental Research Funds for the Central Universities [KYCYXT2022017] ; Open Project of Key Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps [202101] ; Jiangsu Association for Science and Technology Independent Innovation Fund Project [CX(21)3107] ; High Level Personnel Project of Jiangsu Province [JSSCBS20210271] ; China Postdoctoral Science Foundation [2021M691490] ; Jiangsu Planned Projects for Postdoctoral Research Funds [2021K520C] ; JBGS Project of Seed Industry Revitalization in Jiangsu Province [JBGS[2021]007]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/28954]
专题	中科院植物分子生理学重点实验室
作者单位	1.Shihezi Univ, Agr Coll, Key Lab Oasis Ecoagr Xinjiang Prod & Construct Co, Shihezi 832003, Peoples R China 2.Nanjing Agr Univ, Plant Phen Res Ctr, Acad Adv Interdisciplinary Studies, Natl Engn & Technol Ctr Informat Agr,Collaborat I, 1 Weigang, Nanjing 210095, Peoples R China 3.Chinese Acad Sci, Inst Bot, Key Lab Plant Mol Physiol, Beijing 100093, Peoples R China 4.Nanjing Agr Univ, Sanya Res Inst, Sanya 572024, Peoples R China 5.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China 6.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China 7.Nanjing Agr Univ, Minist Agr, Key Lab Biol & Genet Improvement Soybean Gen, Natl Ctr Soybean Improvement,State Key Lab Crop G, Nanjing 210095, Peoples R China 8.Hainan Yazhou Bay Seed Lab, Sanya 572025, Peoples R China
推荐引用方式 GB/T 7714	Tao, Haiyu,Xu, Shan,Tian, Yongchao,et al. Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives[J]. PLANT COMMUNICATIONS,2022,3(6).
APA	Tao, Haiyu.,Xu, Shan.,Tian, Yongchao.,Li, Zhaofeng.,Ge, Yan.,...&Jin, Shichao.(2022).Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives.PLANT COMMUNICATIONS,3(6).
MLA	Tao, Haiyu,et al."Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives".PLANT COMMUNICATIONS 3.6(2022).