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Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series
Jin, Shichao1,2,3; Su, Yanjun2,3; Zhang, Yongguang1; Song, Shilin2,3; Li, Qing4; Liu, Zhonghua2,3; Ma, Qin5; Ge, Yan; Liu, LingLi2,3; Ding, Yanfeng; Baret, Frederic6; Guo, Qinghua7,8
2021
发表期刊PLANT PHENOMICS
ISSN2643-6515
卷号2021
摘要Plant growth rhythm in structural traits is important for better understanding plant response to the ever-changing environment. Terrestrial laser scanning (TLS) is a well-suited tool to study structural rhythm under field conditions. Recent studies have used TLS to describe the structural rhythm of trees, but no consistent patterns have been drawn. Meanwhile, whether TLS can capture structural rhythm in crops is unclear. Here, we aim to explore the seasonal and circadian rhythms in maize structural traits at both the plant and leaf levels from time-series TLS. The seasonal rhythm was studied using TLS data collected at four key growth periods, including jointing, bell-mouthed, heading, and maturity periods. Circadian rhythms were explored by using TLS data acquired around every 2 hours in a whole day under standard and cold stress conditions. Results showed that TLS can quantify the seasonal and circadian rhythm in structural traits at both plant and leaf levels. (1) Leaf inclination angle decreased significantly between the jointing stage and bell-mouthed stage. Leaf azimuth was stable after the jointing stage. (2) Some individual-level structural rhythms (e.g., azimuth and projected leaf area/PLA) were consistent with leaf-level structural rhythms. (3) The circadian rhythms of some traits (e.g., PLA) were not consistent under standard and cold stress conditions. (4) Environmental factors showed better correlations with leaf traits under cold stress than standard conditions. Temperature was the most important factor that significantly correlated with all leaf traits except leaf azimuth. This study highlights the potential of time-series TLS in studying outdoor agricultural chronobiology.
学科领域Agronomy ; Plant Sciences ; Remote Sensing
DOI10.34133/2021/9895241
收录类别SCI
语种英语
WOS关键词TERRESTRIAL LASER SCANNER ; MEASURED TREE HEIGHT ; LIGHT INTERCEPTION ; AREA INDEX ; LEAF-AREA ; PLANT ; ARABIDOPSIS ; PHENOLOGY ; DYNAMICS ; SYSTEM
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000705528200026
出版者AMER ASSOC ADVANCEMENT SCIENCE
文献子类Article
出版地WASHINGTON
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences [XDA24020202] ; Plant Phenomics Research Program of Science and Technology Department of Jiangsu Province [BM2018001] ; Beijing Municipal Science and Technology Project [Z191100007419004]
作者邮箱jinshichao1993@gmail.com
作品OA属性gold, Green Published
引用统计
被引频次:11[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/26706
专题植被与环境变化国家重点实验室
作者单位1.Nanjing Agr Univ, Acad Adv Interdisciplinary Studies, Plant Phen Res Ctr,Jiangsu Key Lab Informat Agr, Collaborat Innovat Ctr Modern Crop Prod Cosponsor, Nanjing 210095, Peoples R China
2.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Nanjing Agr Univ, Natl Tech Innovat Ctr Reg Wheat Prod, Minist Agr, Key Lab Crop Ecophysiol, Nanjing 210095, Jiangsu, Peoples R China
6.Mississippi State Univ, Dept Forestry, Mississippi State, MS 39759 USA
7.INRA, Environm Mediterranien & Modelisat Agrohydrosyst, Unite Mixte Rech 1114, F-84914 Avignon, France
8.Peking Univ, Coll Environm Sci, Dept Ecol, Beijing 100871, Peoples R China
9.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
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GB/T 7714
Jin, Shichao,Su, Yanjun,Zhang, Yongguang,et al. Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series[J]. PLANT PHENOMICS,2021,2021.
APA Jin, Shichao.,Su, Yanjun.,Zhang, Yongguang.,Song, Shilin.,Li, Qing.,...&Guo, Qinghua.(2021).Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series.PLANT PHENOMICS,2021.
MLA Jin, Shichao,et al."Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series".PLANT PHENOMICS 2021(2021).
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