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Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series

文献类型：期刊论文

作者Jin, Shichao2,5,8; Su, Yanjun5,8; Zhang, Yongguang2; Song, Shilin5,8; Li, Qing4; Liu, Zhonghua5,8; Ma, Qin3; Ge, Yan; Liu, LingLi5,8; Ding, Yanfeng
刊名PLANT PHENOMICS
出版日期2021
卷号2021
ISSN号2643-6515
DOI10.34133/2021/9895241
文献子类Article
英文摘要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.
学科主题Agronomy ; Plant Sciences ; Remote Sensing
出版地WASHINGTON
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)
语种英语
出版者AMER ASSOC ADVANCEMENT SCIENCE
WOS记录号WOS:000705528200026
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]
源URL[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.Mississippi State Univ, Dept Forestry, Mississippi State, MS 39759 USA
2.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
3.Nanjing Agr Univ, Natl Tech Innovat Ctr Reg Wheat Prod, Minist Agr, Key Lab Crop Ecophysiol, Nanjing 210095, Jiangsu, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
6.Peking Univ, Coll Environm Sci, Dept Ecol, Beijing 100871, Peoples R China
7.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
8.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
9.INRA, Environm Mediterranien & Modelisat Agrohydrosyst, Unite Mixte Rech 1114, F-84914 Avignon, France
推荐引用方式
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).

入库方式： OAI收割

来源：植物研究所

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