Evaluating maize phenotype dynamics under drought stress using terrestrial lidar

doi:10.1186/s13007-019-0396-x

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
	Su, Yanjun 3; Wu, Fangfang 3; Ao, Zurui 2; Jin, Shichao 3; Qin, Feng 4; Liu, Boxin 3; Pang, Shuxin ; Liu, Lingli 3; Guo, Qinghua 3
刊名	PLANT METHODS
	2019
卷号	15
关键词	Maize Phenotype Lidar Drought stress
DOI	10.1186/s13007-019-0396-x
文献子类	Article
英文摘要	BackgroundMaize (Zea mays L.) is the third most consumed grain in the world and improving maize yield is of great importance of the world food security, especially under global climate change and more frequent severe droughts. Due to the limitation of phenotyping methods, most current studies only focused on the responses of phenotypes on certain key growth stages. Although light detection and ranging (lidar) technology showed great potential in acquiring three-dimensional (3D) vegetation information, it has been rarely used in monitoring maize phenotype dynamics at an individual plant level.ResultsIn this study, we used a terrestrial laser scanner to collect lidar data at six growth stages for 20 maize varieties under drought stress. Three drought-related phenotypes, i.e., plant height, plant area index (PAI) and projected leaf area (PLA), were calculated from the lidar point clouds at the individual plant level. The results showed that terrestrial lidar data can be used to estimate plant height, PAI and PLA at an accuracy of 96%, 70% and 92%, respectively. All three phenotypes showed a pattern of first increasing and then decreasing during the growth period. The high drought tolerance group tended to keep lower plant height and PAI without losing PLA during the tasseling stage. Moreover, the high drought tolerance group inclined to have lower plant area density in the upper canopy than the low drought tolerance group.ConclusionThe results demonstrate the feasibility of using terrestrial lidar to monitor 3D maize phenotypes under drought stress in the field and may provide new insights on identifying the key phenotypes and growth stages influenced by drought stress.
学科主题	Biochemical Research Methods ; Plant Sciences
电子版国际标准刊号	1746-4811
出版地	LONDON
WOS关键词	WATER-USE EFFICIENCY ; VEGETATION INDEXES ; PLANT-RESPONSES ; LEAF-AREA ; CROP ; CANOPY ; GROWTH ; TOLERANCE ; SYSTEM ; RESISTANCE
WOS研究方向	Biochemistry & Molecular Biology ; Plant Sciences
语种	英语
出版者	BMC
WOS记录号	WOS:000457789500002
资助机构	National Key R&D Program of China [2017YFC0503905, 2016YFC0500202] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31741016] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA08040107] ; CAS Pioneer Hundred Talents Program
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/19797]
专题	植被与环境变化国家重点实验室
作者单位	1.China Agr Univ, Coll Biol Sci, Beijing 100091, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 4.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Su, Yanjun,Wu, Fangfang,Ao, Zurui,et al. Evaluating maize phenotype dynamics under drought stress using terrestrial lidar[J]. PLANT METHODS,2019,15.
APA	Su, Yanjun.,Wu, Fangfang.,Ao, Zurui.,Jin, Shichao.,Qin, Feng.,...&Guo, Qinghua.(2019).Evaluating maize phenotype dynamics under drought stress using terrestrial lidar.PLANT METHODS,15.
MLA	Su, Yanjun,et al."Evaluating maize phenotype dynamics under drought stress using terrestrial lidar".PLANT METHODS 15(2019).