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Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (12): 2237-2245.doi: 10.3724/SP.J.1006.2012.02237

• TILLAGE & CULTIVATION · PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Functional and Structural Model for Above-Ground Growth in Cotton

CHEN Chao1,2,PAN Xue-Biao1,*,ZHANG Li-Zhen1,PANG Yan-Mei1,3   

  1. 1 College of Resources and Environment, China Agricultural University, Beijing 100193, China; 2 Sichuan Climate Center, Chengdu 610072, China; 3 Beijing Mentougou Meteorological Administration, Beijing 102308, China
  • Received:2012-02-13 Revised:2012-09-05 Online:2012-12-12 Published:2012-10-08
  • Contact: 潘学标, E-mail: panxb@cau.edu.cn

Abstract:

Three-year experiments with different planting densities were conducted in Anyang, Henan Provence of China. The development and morphogenesis module of COTGROW model was improved based on the allometry relationship between biomass and morphology, which was used to construct cotton model for above-ground organs. The morphology model included several sub-models, such as stem, leaf, petiole, boll, and so on. A visual cotton growth process was displayed through linking the COTGROW and the GroIMP models, thus, the cotton canopy light interception was simulated. The results showed that the dynamic change of each organ size could be characterized by relationship between biomass and morphology based on cotton above-ground organs model of COTGROW. The model was validated by independent experiments in 2010. The root mean squared error (RMSE) between the measured and simulated values for morphological parameters were 3.85, 0.64, 0.52, 0.66, 1.00, 0.15, 1.58, 2.39, 2.54, 0.05, 0.13, and 0.10 cm for plant height, nodes on main stem, the number of fruiting branches, nodes on different fruiting branches, internode length, internode diameter, leaf length, leaf width, petiole length, petiole diameter, boll length and boll diameter, respectively. Various 3D morphology of cotton plant in different environmental conditions and different plant densities was shown, and light interception of canopy also well simulated. Functional and structural model for above-ground organs in cotton could be used to simulate cotton morphological characteristics and display the real growth process of organs and plant, which provides a technical basis for virtual farming.

Key words: Cotton, COTGROW model, GroIMP, Functional and structural model

[1]Lacointe A. Carbon allocation among tree organs: a review of basic processes and representation in functional-structural tree models. Ann For Sci, 2000, 57: 521–533



[2]Zheng X-Q(郑秀琴), Feng L-P(冯利平), Liu R-H(刘荣花). A simulation model for yield components and final yield in winter wheat. Acta Agron Sin (作物学报), 2006, 32(2): 260–266 (in Chinese with English abstract)



[3]Eckersten H, Torssell B, Kornher A, Boström U. Modeling biomass, water and nitrogen in grass ley: estimation of N uptake parameters. Eur J Agron, 2007, 27: 89–101



[4]Prusinkiewicz P. Modeling of spatial structure and development of plants: a review. Sci Hort, 1998, 74: 113–149



[5]Han J. Plant simulation based on fusion of L-system and IFS. Lect Notes Comp Sci, 2007, 4488: 1091–1098



[6]Zhou S-Q(周淑秋), Guo X-Y(郭新宇), Lei L(雷蕾). Design and realization of cucumber growing visualization system. Comp Technol Dev (计算机技术与发展), 2007, 14(1): 227–229 (in Chinese with English abstract)



[7]Hanan J. Virtual plants-integrating architectural and physiological models. Environ Mod Software, 1997, 12: 35–42



[8]Yan H P, Kang M Z, de Reffye P, Dingkuhn M. A dynamic, architectural plant model simulating resource-dependent growth. Ann Bot, 2004, 93: 591–602



[9]Room P M, Hanan J S, Prusinkiewicz P. Virtual plants: new perspectives for ecologists, pathologists and agricultural scientists. Trends Plant Sci, 1996, 1: 33–38



[10]Hanan J S, Hearn A B. Linking physiological and architectural models of cotton. Agric Systems, 2003, 75: 47–77



[11]Hearn A B. OZCOT: a simulation model for cotton crop management. Agricl Systems, 1994, 44: 257–299



[12]Jallas E, Martin P, Sequeira R, Turner S. Virtual COTON, the Firstborn of the Next Generation of Simulation Model. In: Heudin J C ed. Virtual Worlds: Second International Conference. Berlin: Springer-Verlag Berlin Heidelberg, 2000. pp 235–244



[13]Jallas E, Sequeira R, Martin P, Turner S, Papajorgji P. Mechanistic virtual modeling: coupling a plant simulation model with a three-dimensional plant architecture component. Environ Model Assess, 2009, 14: 29–45



[14]Baker D N, Lambert J R, Mckicion J M. GOSSYM: A simulator of cotton growth and yield. South Cordlina Agric Exp Station Tech Bull, 1983, p 1089



[15]Yang J(杨娟), Zhao M(赵明), Pan X-B(潘学标). Visualization of cotton growth based on NURBS and VC++ 6.0. Trans CSAE (农业工程学报), 2006, 22(10): 159–162 (in Chinese with English abstract)



[16]Zhou J(周娟), Zhou Z-G(周治国), Chen B-L(陈兵林), Meng Y-L(孟亚利). Morphogenesis model-based virtual growth system of cotton (Gossypium hirsutum L.). Sci Agric Sin (中国农业科学), 2009, 42(11): 3843–3851 (in Chinese with English abstract)



[17]Pan X-B(潘学标), Han X-L(韩湘玲), Shi Y-C(石元春). COTGROW: cotton growth and development simulation model. Cotton Sci (棉花学报), 1996, 8(4): 80–188 (in Chinese with English abstract) 



[18]Pan X-B(潘学标), Han X-L(韩湘玲), Dong Z-S(董占山), Cui X-W(崔秀稳), Wang Y-Q(王延琴), Deng S-H(邓绍华). Developed on cotton growth and development model COTGROW I photosynthesis and dry matter production and distribution. Cotton Sci (棉花学报), 1997, 9(3): 132–141 (in Chinese with English abstract)



[19]Pan X-B(潘学标), Han X-L(韩湘玲), Wang Y-Q(王延琴), Cui X-W(崔秀稳), Deng S-H(邓绍华). On cotton growth and development model COTGROW II morphological development. Cotton Sci (棉花学报), 1999, 11(4): 174–181 (in Chinese with English abstract)



[20]Vos J, Marcelis L F M, de Visser P H B, Struik P C, Evers J B. Functional-structural plant modelling in crop production. In: Proceedings of the Frontis Workshop on Functional-Structural Plant Modelling in Crop Production, Wageningen, The Netherlands, 5–8 March, 2006



[21]Hemmerling R, Kniemeyer O, Lanwert D, Kurth W, Buck-Sorlin G. The rule-based language XL and the modelling environment GroIMP illustrated with simulated tree competition. Funct Plant Biol, 2008, 35: 739–750



[22]Preetham A J, Shirley P, Smits B. A practical analytic model for daylight. In: Proceedings of SIGGRAPH. New York: ACM Press/Addison-Wesley Publishing Co, 1999, p 91



[23]Gautier H, Mech P R, Prusinkiewicz C, Varlet-Grancher C. 3D architectural modelling of aerial photomophogenesis in white clover (Trifolium repens L.) using L-systems. Ann Bot, 2000, 85: 359–370



[24]Veach E. Robust Monte Carlo Methods for Light Transport Simulation. PhD Dissertation of Stanford University, 1997. pp 249–368



[25]Chelle M, Andrieu B. The nested radiosity model for the distribution of light within plant canopies. Ecol Mod, 1998, 111: 75–91



[26]Chelle M, Andrieu B. Radiative models for archirectural modeling. Agronomie, 1999, 19: 225–240



[27]Chelle M, Hanan J, Autret H. Lighting virtual crops: the CARIBU solution for open L-systems. In: Proceedings of the 4th International Workshop on Function

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