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Journal of Integrative Agriculture  2017, Vol. 16 Issue (10): 2177-2190    DOI: 10.1016/S2095-3119(16)61597-6
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Modeling curve dynamics and spatial geometry characteristics of rice leaves
ZHANG Yong-hui1, 2, TANG Liang2, LIU Xiao-jun2, LIU Lei-lei2, CAO Wei-xing2, ZHU Yan2
1 Computer Engineering School, Weifang University, Weifang 261061, P.R.China
2 National Engineering and Technology Center for Information Agriculture/Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture/Jiangsu Key Laboratory for Information Agriculture/Jiangsu Collaborative Innovation Center for Modern Crop Production/Nanjing Agricultural University, Nanjing 210095, P.R.China
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Abstract  The objective of this work was to develop a dynamic model for describing leaf curves and a detailed spatial geometry model of the rice leaf (including sub-models for unexpanded leaf blades, expanded leaf blades, and leaf sheaths), and to realize three-dimensional (3D) dynamic visualization of rice leaves by combining relevant models.  Based on the experimental data of different cultivars and nitrogen (N) rates, the time-course spatial data of leaf curves on the main stem were collected during the rice development stage, then a dynamic model of the rice leaf curve was developed using quantitative modeling technology.  Further, a detailed 3D geometric model of rice leaves was built based on the spatial geometry technique and the non-uniform rational B-spline (NURBS) method.  Validating the rice leaf curve model with independent field experiment data showed that the average distances between observed and predicted curves were less than 0.89 and 1.20 cm at the tilling and jointing stages, respectively.  The proposed leaf curve model and leaf spatial geometry model together with the relevant previous models were used to simulate the spatial morphology and the color dynamics of a single leaf and of leaves on the rice plant after different growing days by 3D visualization technology.  The validation of the leaf curve model and the results of leaf 3D visualization indicated that our leaf curve model and leaf spatial geometry model could efficiently predict the dynamics of rice leaf spatial morphology during leaf development stages.  These results provide a technical support for related research on virtual rice.
Keywords:  rice        morphological models        leaf        geometry characteristics        virtual plant  
Received: 28 September 2016   Accepted:
Fund: 

The work was supported by the National High-Tech R&D Program of China (2013AA100404), the National Natural Science Foundation of China (31201130, 61471269, 31571566), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China, the Natural Science Foundation of Shandong Province, China (BS2015DX001), the Science and Technology Development Project of Weifang, China (2016GX019), and the Doctoral Foundation of Weifang University, China.

Corresponding Authors:  Correspondence ZHU Yan, Tel: +86-25-84396598, Fax: +86-25-84396672, E-mail: yanzhu@njau.edu.cn   

Cite this article: 

ZHANG Yong-hui, TANG Liang, LIU Xiao-jun, LIU Lei-lei, CAO Wei-xing, ZHU Yan . 2017. Modeling curve dynamics and spatial geometry characteristics of rice leaves. Journal of Integrative Agriculture, 16(10): 2177-2190.

Birch C, Andrieu B, Fournier C, Vos J, Room P. 2003. Modelling kinetics of plant canopy architecture - Concepts and applications. European Journal of Agronomy, 19, 519–533.

Cao H X, Shi C L, Jin Z Q. 2008. Advances in researches on plant morphological structure simulation and visualization. Scientia Agricultura Sinica, 41, 669–677. (in Chinese)

Chang L Y. 2007. Studies on simulation model of morphological development in rice. Ph D thesis, Nanjing Agricultural University, China. pp. 35–39. (in Chinese)

Chang L Y, Tang L, Gu D X, Yang J, Cao W X, Zhu Y. 2008. A process based simulation model of leaf sheath and internode elongation dynamics in rice. Journal of Nanjing Agricultural University, 31, 19–25. (in Chinese)

Deng X Y, Guo X Y, Zhou S Q, Zheng W G. 2005. Study on the geometry modeling of corn leaf morphological formation. Journal of Image and Graphics, 10, 637–641. (in Chinese)

Dornbusch T, Wernecke P, Diepenbrock W. 2007. Description and visualization of graminaceous plants with an organ-based 3D architectural model, exemplified for spring barley (Hordeum vulgare L.). Visual Computer, 23, 569–581.

Evers J B, Vos J, Fournier C, Andrieu B, Chelle M, Struik P C. 2007. An architectural model of spring wheat: Evaluation of the effects of population density and shading on model parameterization and performance. Ecological Modelling, 200, 308–320.

Fang S Q, Yan X L, Liao H. 2009. 3D reconstruction and dynamic modeling of root architecture in situ and its application to crop phosphorus research. The Plant Journal, 60, 1096–1108.

Feng L, Mailhol J C, Rey H, Griffon S, Auclair D, De Reffye P. 2014. Comparing an empirical crop model with a functional structural plant model to account for individual variability. European Journal of Agronomy, 53, 16–27.

Fournier C, Andrieu B. 1998. A 3D architectural and process-based model of maize development. Annals of Botany, 81, 233–250.

Fournier C, Andrieu B, Ljutovac S, Saint-Jean S. 2003. ADEL-wheat: A 3D architectural model of wheat development. Plant growth modeling and applications. Tsinghua University Press/Springer-Verlag, China. pp. 54–63.

Gao L, Jin Z, Li L. 1987. Photo-thermal models of rice growth duration for various varietal types in China. Agricultural and Forest Meteorology, 39, 205–213.

Guo Y, Li B G. 1999. Mathematical description and three-dimensional reconstruction of maize canopy. Chinese Journal of Applied Ecology, 10, 39–41. (in Chinese)

Guo Y, Ma Y, Zhan Z, Li B, Dingkuhn M, Luquet D, De Reffye P. 2006. Parameter optimization and field validation of the functional-structural model greenlab for maize. Annals of Botany, 97, 217–230.

Hanan J, Hearn A. 2003. Linking physiological and architectural models of cotton. Agricultural Systems, 75, 47–77.

Kaitaniemi P, Hanan J, Room P. 2000. Virtual sorghum: Visualisation of partitioning and morphogenesis. Computers & Electronics in Agriculture, 28, 195–205.

Lei X J, Tang L, Zhang Y H, Jiang H Y, Cao W X, Zhu Y. 2011. 3D geometric model and visualization of wheat spike. Transactions of the Chinese Society of Agricultural Engineering, 27, 179–184. (in Chinese)

Liu H W, Wu B, Zhang H Y, Li F, Shao Y H. 2009a. Research on rice leaf geometric model and its visualization. Computer Engineering, 35, 263–265. (in Chinese)

Liu X, Cao Y, Liu G, Hu Z. 2004. The modeling of rice leaf based on NURBS. Microelectronics & Computer, 21, 117–119. (in Chinese)

Liu Y, Lu J F, Cao H X, Shi C L, Liu Y X, Zhu D W. 2009b. Main geometrical parameter models of rice blade based on biomass. Scientia Agricultura Sinica, 42, 4093–4099. (in Chinese)

Lu S, Lei Y J, Kong W W, Lei Y. 2011. Image registration method based on key point feature and improved Hausdorff distance. Systems Engineering & Electronics, 33, 1664–1667. (in Chinese)

Ma P L, Ding W L, Gu H. 2010. The visual modeling of rice leaf based on OpenGL and Bezier curved surface. Journal of Zhejiang University of Technology, 38, 36–40. (in Chinese)

Mi X, Ao H, Zou Y, Shi J, Cai S. 2003. Application of visualization technology model-document-view architecture in crop simulation. Transactions of the Chinese Society of Agricultural Engineering, 19, 164–167. (in Chinese)

Meng J, Chen W F, Xu Z J. 2005. Primary study on plant type and computer simulation of 3-dimensional structure of rice canopy. Chinese Agriculture Science Bulletin, 21, 403–406. (in Chinese)

Meng Y L. 2002. A process-based simulation model for rice growth. Ph D thesis, Nanjing Agricultural University, China. pp. 34–64. (in Chinese)

Pearcy R W, Yang W M. 1996. A three-dimensional crown architecture model for assessment of light capture and carbon gain by understory plants. Oecologia, 108, 1–12.

Shi C L, Zhu Y, Cao W X. 2006. Mechanism model for rice leaf curve character. Acta Agronomica Sinica, 32, 656–660. (in Chinese)

Stewart D W, Costa C, Dwyer L M, Smith D L, Hamilton R I, Ma B L. 2002. Canopy structure, light interception, and photosynthesis in maize. Agronomy Journal, 95, 1465–1474.

Tardieu F. 2003. Virtual plants: Modelling as a tool for the genomics of tolerance to water deficit. Trends in Plant Science, 8, 9–14.

Wang W M, Li Z L, Su H B. 2007. Comparison of leaf angle distribution functions: Effects on extinction coefficient and fraction of sunlit foliage. Agricultural and Forest Meteorology, 143, 106–122.

Watanabe T, Hanan J S, Room P M, Hasegawa T, Nakagawa H, Takahashi W. 2005. Rice morphogenesis and plant architecture: Measurement, specification and the reconstruction of structural development by 3D architectural modelling. Annals of Botany, 95, 1131–1143.

Watt A. 2005. 3D Computer Graphics. 3rd ed. China Machine Press, China. pp. 51–76. (in Chinese)

Xu L F, Henke M, Zhu J, Kurth W, Buck-Sorlin G. 2011. A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes. Annals of Botany, 107, 817–828.

Yang H, Luo W, He H, Xie X. 2008. Rice leaf blade 3D morphology modeling and computer simulation. Journal of Agricultural Mechanization Research, 12, 33–36. (in Chinese)

Yang J, Zhao M, Pan X B. 2006. Visualization of cotton growth based on NURBS and VC++ 6.0.Transactions of the Chinese Society of Agricultural Engineering, 22, 159–162. (in Chinese)

Zhang J E, Huang R, Liu C S, Yao W M, Liu Z F. 2001. Preliminary study on the visualization modeling of maize leaf structure. Journal of South China Agricultural University, 22, 5–7. (in Chinese)

Zhang W Y, Tang L, Yang X, Liu L L, Cao W X, Zhu Y. 2015. A simulation model for predicting canopy structure and light distribution in wheat. European Journal of Agronomy, 67, 1–11.

Zhang Y H, Tang L, Liu X J, Cao W X, Zhu Y. 2012. Dynamic simulation on angle between stem and sheath in different rice cultivars and nitrogen rates. Scientia Agricultura Sinica, 45, 4361–4368. (in Chinese)

Zhang Y H, Tang L, Liu X J, Liu L L, Cao W X, Zhu Y. 2014a. Modeling leaf color based on RGB in rice. Journal of Integrative Agriculture, 13, 749–759.

Zhang Y H, Tang L, Liu X J, Liu L L, Cao W X, Zhu Y. 2014b. Modeling morphological and color characteristics of rice panicle. European Journal of Agronomy, 52, 279–290.

Zheng B, Shi L, Ma Y, Deng Q, Li B, Guo Y. 2009. Three-dimensional digitization in situ of rice canopies and virtual stratified-clipping method. Scientia Agricultura Sinica, 42, 1181–1189. (in Chinese)

Zheng B Y, Shi L J, Ma Y T, Deng Q Y, Li B G, Guo Y. 2008. Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitizing. Functional Plant Biology, 35, 900–910.

Zhu Y, Chang L, Tang L, Jiang H, Zhang H, Cao W. 2009. Modeling leaf shape dynamics in rice. NJAS-Wageningen Journal of Life Sciences, 57, 73–81.
 
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