Journal of Agricultural Big Data >
Analysis and Modeling of the Heterogeneous Distribution Phenotyping Characteristics of Cucumber Leaves
Received date: 2019-04-12
Online published: 2019-08-21
[Objective] The orientation and distribution characteristics of the cucumber leaf blade are important structural parameters that determine the light interception and photosynthesis capacity of the canopy. Detailed analysis of leaf azimuth distribution with different cultivation densities will determine the environmental factors that affect leaf distribution and canopy heterogeneity structural characteristics, and support the study of the response mechanism of plant morphology to the environment. [Methods] To study the response of leaf distribution to the light environment under light gradient changes inside the canopy, nine sets of measurement test data under five density treatments were used. A three-dimensional scanning method was used to digitally collect the phenotypic parameters of cucumber canopy organs, and the heterogeneous characteristics of leaf distribution were quantitatively analyzed in different azimuth regions. [Results] Based on the detailed analysis of the relationship between leaf azimuth distribution and solar elevation angle and leaf area index, correlation models were established. The difference in azimuth distribution frequency between the inside and outside of double rows was amended using the cosine function to simulate the response of azimuth distribution frequency to man-made cultivation management. The accuracy of the model was verified by the measured data, and the accuracy rate reached 0.89. [Conclusion] In this study, the response of the azimuthal distribution frequency to canopy growth, light environment and planting management was implemented. It provides an important reference for the acquisition of cucumber canopy phenotypic parameters, and lays the foundation for more accurate cucumber functional and structural plant model construction.
Key words: phenotyping; structure; heterogeneity; canopy; azimuth; cucumber; plant phenomics
Tingting Qian,Shenglian Lu,Xiuguo Zheng,Jingyin Zhao,Jian Wang,Juan Yang . Analysis and Modeling of the Heterogeneous Distribution Phenotyping Characteristics of Cucumber Leaves[J]. Journal of Agricultural Big Data, 2019 , 1(2) : 41 -49 . DOI: 10.19788/j.issn.2096-6369.190204
| [1] | K. Kahlen, D. Wiechers, H. Stützel . Modelling leaf phototropism in a cucumber canopy[J]. Functional Plant Biology, 2008,35(10):876-884. |
| [2] | S.G. Chen, B.Y. Shao, I. Impens , et al. Effects of plant canopy structure on light interception and photosynjournal[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1994,52(1):115-123. |
| [3] | T.T. Qian, S.L. Lu, C.J. Zhao , et al. Heterogeneity Analysis of Cucumber Canopy in the Solar Greenhouse[J]. Journal of Integrative Agriculture, 2014,13(12):2645-2655. |
| [4] | V. Sarlikioti, P.H.B.De Visser, L.F.M. Marcelis . Exploring the spatial distribution of light interception and photosynjournal of canopies by means of a functional-tructural plant model[J]. Annals of botany, 2011,107(5):875-883. |
| [5] | G.A. Maddonni, Otegui M a E, B. Andrieu , et al. Maize leaves turn away from neighbors[J]. Plant Physiology, 2002,130(3):1181-1189. |
| [6] | J. Evers, J. Vos, X. Yin , et al. Simulation of wheat growth and development based on organ-level photosynjournal and assimilate allocation[J]. Journal of Experimental Botany, 2010,61(8):2203-2216. |
| [7] | H. Gautier, R. Měch, P. Prusinkiewicz , et al. 3D architectural modelling of aerial photomorphogenesis in white clover (Trifolium repens L.) using L-systems[J]. Annals of Botany, 2000,85(3):359-370. |
| [8] | A.R. Cashmore, J.A. Jarillo, Y.J. Wu , et al. Cryptochromes: blue light receptors for plants and animals[J]. Science, 1999,284(5415):760-765. |
| [9] | K.A. Franklin, G.C. Whitelam . Phytochromes and shade-avoidance responses in plants[J]. Annals of botany, 2005,96(2):169-175. |
| [10] | V. Sarlikioti, P.H.B.De Visser, G.H. Buck-Sorlin , et al. Exploring the spatial distribution of light interception and photosynjournal of canopies by means of a functional-structural plant model[J]. Annals of Botany, 2011a,107(5):875-883. |
| [11] | T.M. Dejong, D.Da Silva, J. Vos , et al. Using functional-structural plant models to study, understand and integrate plant development and ecophysiology[J]. Annals of Botany, 2011,108(6):987-989. |
| [12] | M. Kang, E. Heuvelink, S.M.P. Carvalho , et al. A virtual plant that responds to the environment like a real one: the case for chrysanthemum[J]. New Phytologist, 2012,195(2):384-395. |
| [13] | K. Kahlen, H. Stützel . Simplification of a light-based model for estimating final internode length in greenhouse cucumber canopies[J]. Annals of Botany, 2011,108(6):1055-1063. |
| [14] | K. Kahlen, H. Stützel . Modelling photo‐modulated internode elongation in growing glasshouse cucumber canopies[J]. New Phytologist, 2011b,190(3):697-708. |
| [15] | 赵春江, 陆声链, 郭新宇 , et al. 数字植物及其技术体系探讨[J]. 中国农业科学, 2010,43(10):2023-2030. |
| [15] | Zhao C J, Lu S L, Guo X Y , et al. Exploration of Digital Plant and Its Technonogy System. Scientia Agricultura Sinica, 2010,43(10):2023-2030. |
| [16] | 魏学礼, 肖伯祥, 郭新宇 , et al. 三维激光扫描技术在植物扫描中的应用分析[J]. 中国农学通报, 2010, ( 20):373-377. |
| [16] | Wei X L, Xiao B X, Guo X Y . Analysis of Applications of 3D Laser Scan Technology in Plant Scanning. Chinese Agricultural Science Bulletin, 2010, ( 20):373-377. |
| [17] | 马稚昱, 清水浩, 辜松 . 基于机器视觉的菊花生长自动无损监测技术[J]. 农业工程学报, 2010,26(09):203-209. |
| [17] | Ma Z Y, Qing S H, Gu S . Non-destructive measurement system for plant growth information based on machine vision. Transactions of the Chinese Society of Agricultural Engineering, 2010,26(09):203-209. |
| [18] | T. Qian, C. Zhao, X. Guo , et al. Introducing an Azimuth Model Into Functional-Structural Modeling of Cucumber Canopy[J]. Sensor Letters, 2014,12(3-5):892-896. |
| [19] | , S. Lu, X. Guo, C. Zhao , et al. Multi-Scale Reconstruction of Crop Canopy; proceedings of the Plant growth modeling, simulation, visualization and applications Proceedings of the Fourth International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Shanghai, China F ,2012 [ C]. IEEE PRESS. |
| [20] | 马韫韬, 郭焱, 李保国 . 应用三维数字化仪对玉米植株叶片方位分布的研究[J]. 作物学报, 2006,32(6):791-798. |
| [20] | Ma Y T, Guo Y, Li B G . Azimuthal Distribution of Maize Plant Leaves Determined by 3D Digitizer. Acta Agronomica Sinica, 2006,32(6):791-798. |
| [21] | V. Sarlikioti, P.H.B.De Visser, G.H. Buck-Sorlin , et al. How plant architecture affects light absorption and photosynjournal in tomato: towards an ideotype for plant architecture using a functional-structural plant model[J]. Annals of Botany, 2011b,108 1065-1073. |
| [22] | X. Yang, T.H. Short, R.D. Fox , et al. Plant architectural parameters of a greenhouse cucumber row crop[J]. Agricultural and Forest Meteorology, 1990,51(2):93-105. |
| [23] | J. Zhou, C Applegate, A.D. Alonso , et al. Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat[J]. Plant Methods, 2017,13(1):117. |
| [24] | J.C. Rose, S. Paulus, H. Kuhlmann . Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level[J]. Sensors, 2015,15(5):9651-9665. |
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