Biomass-Based Rice (Oryza sativa L.)AbovegroundArchitectural Parameter Models

doi:10.1016/S1671-2927(00)8695

Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (10): 1621-1632.DOI: 10.1016/S1671-2927(00)8695

Biomass-Based Rice (Oryza sativa L.)AbovegroundArchitectural Parameter Models

CAO Hong-xin, LIU Yan, LIU Yong-xia, Jim Scott Hanan, YUE Yan-bin, ZHU Da-wei, LU Jian-fei, SUN Jin-ying, SHI Chun-lin, GE Dao-kuo, WEI Xiu-fang, YAO An-qing, TIAN Ping-ping, BAO Tai-lin

1.Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China
2.The University of Queensland, Centre for Biological Information Technology, Queensland 4068, Australia
3.Agronomy College, Nanjing Agricultural University, Nanjing 210095, P.R.China
4.College of Agriculture, Yangzhou University, Yangzhou 225009, P.R.China
5.Agricultural Technological Extensive Station of Luntai County, Luntai 841600, P.R.China
6.Agronomy College, Yangtze University, Jingzhou 434025, P.R.China

收稿日期:2011-10-16 出版日期:2012-10-01 发布日期:2012-11-12
通讯作者: Correspondence CAO Hong-xin, Tel: +86-25-84391210, Fax: +86-25-84391200, E-mail: caohongxin@hotmail.com
基金资助:
This work was supported by the National High-Tech R&D Program of China (2006AA10Z230, 2006AA10Z219-1), the National Natural Science Foundation of China (31171455), the Jiangsu Province Agricultural Scientific Technology Innovation Fund, China (CX(10)221), the Jiangsu Province Postdoctoral Research Program, China (5910907), the No-Profit Industry (Meteorology) Research Program, China (GYHY201006027, GYHY201106027), and the Jiangsu Government Scholarship for Overseas Studies, Jiangsu Academy of Agricultural Sciences Founding, China (6510733).

Biomass-Based Rice (Oryza sativa L.)AbovegroundArchitectural Parameter Models

CAO Hong-xin, LIU Yan, LIU Yong-xia, Jim Scott Hanan, YUE Yan-bin, ZHU Da-wei, LU Jian-fei, SUN Jin-ying, SHI Chun-lin, GE Dao-kuo, WEI Xiu-fang, YAO An-qing, TIAN Ping-ping, BAO Tai-lin

1.Engineering Research Center for Digital Agriculture/Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, P.R.China
2.The University of Queensland, Centre for Biological Information Technology, Queensland 4068, Australia
3.Agronomy College, Nanjing Agricultural University, Nanjing 210095, P.R.China
4.College of Agriculture, Yangzhou University, Yangzhou 225009, P.R.China
5.Agricultural Technological Extensive Station of Luntai County, Luntai 841600, P.R.China
6.Agronomy College, Yangtze University, Jingzhou 434025, P.R.China

Received:2011-10-16 Online:2012-10-01 Published:2012-11-12
Contact: Correspondence CAO Hong-xin, Tel: +86-25-84391210, Fax: +86-25-84391200, E-mail: caohongxin@hotmail.com
Supported by:
This work was supported by the National High-Tech R&D Program of China (2006AA10Z230, 2006AA10Z219-1), the National Natural Science Foundation of China (31171455), the Jiangsu Province Agricultural Scientific Technology Innovation Fund, China (CX(10)221), the Jiangsu Province Postdoctoral Research Program, China (5910907), the No-Profit Industry (Meteorology) Research Program, China (GYHY201006027, GYHY201106027), and the Jiangsu Government Scholarship for Overseas Studies, Jiangsu Academy of Agricultural Sciences Founding, China (6510733).

摘要/Abstract

摘要： To quantify the relationships between rice plant architecture parameters and the corresponding organ biomass, and to research on functional structural plant models of rice plant, this paper presented a biomass-based model of aboveground architectural parameters of rice (Oryza sativa L.) in the young seedling stage, designed to explain effects of cultivars and environmental conditions on rice aboveground morphogenesis at the individual leaf level. Various model variables, including biomass of blade and blade length, were parameterized for rice based on data derived from an outdoor experiment with rice cv. Liangyou 108, 86You 8, Nanjing 43, and Yangdao 6. The organ dimensions of rice aboveground were modelled taking corresponding organ biomass as an independent variable. Various variables in rice showed marked consistency in observation and simulation, suggesting possibilities for a general rice architectural model in the young seedling stage. Our descriptive model was suitable for our objective. However, they can set the stage for connection to physiological model via biomass and development of functional structural rice models (FSRM), and start with the localized production and partitioning of assimilates as affected by abiotic growth factors. The finding of biomass-based rice architectural parameter models also can be used in morphological models of blade, sheath, and tiller of the other stages in rice life.

关键词: biomass , plant architectural parameter , model , rice (Oryza sativa L.)

Abstract: To quantify the relationships between rice plant architecture parameters and the corresponding organ biomass, and to research on functional structural plant models of rice plant, this paper presented a biomass-based model of aboveground architectural parameters of rice (Oryza sativa L.) in the young seedling stage, designed to explain effects of cultivars and environmental conditions on rice aboveground morphogenesis at the individual leaf level. Various model variables, including biomass of blade and blade length, were parameterized for rice based on data derived from an outdoor experiment with rice cv. Liangyou 108, 86You 8, Nanjing 43, and Yangdao 6. The organ dimensions of rice aboveground were modelled taking corresponding organ biomass as an independent variable. Various variables in rice showed marked consistency in observation and simulation, suggesting possibilities for a general rice architectural model in the young seedling stage. Our descriptive model was suitable for our objective. However, they can set the stage for connection to physiological model via biomass and development of functional structural rice models (FSRM), and start with the localized production and partitioning of assimilates as affected by abiotic growth factors. The finding of biomass-based rice architectural parameter models also can be used in morphological models of blade, sheath, and tiller of the other stages in rice life.

Key words: biomass , plant architectural parameter , model , rice (Oryza sativa L.)

CAO Hong-xin, LIU Yan, LIU Yong-xia, Jim Scott Hanan, YUE Yan-bin, ZHU Da-wei, LU Jian-fei, SUN Jin-ying, SHI Chun-lin, GE Dao-kuo, WEI Xiu-fang, YAO An-qing, TIAN Ping-ping, BAO Tai-lin. Biomass-Based Rice (Oryza sativa L.)AbovegroundArchitectural Parameter Models[J]. Journal of Integrative Agriculture, 2012, 12(10): 1621-1632.

参考文献

[1]Costes E, Smith C, Favreau R, Gu on Y, DeJong T. 2007.Linking carbon economy and architectural developmentof peach trees by integrating markovian models into LPEACH.[2012-07-05]. http://algorithmicbotany.org/FSPM07/Individual/39.pdf

[2]Datta D K. 1981. Principles and Practices of RiceProduction. John Wiley, New York. pp. 25-40.Ding Y. 1961. Cultivation of Chinese Paddy Rice.Agricultural Publishing House, Beijng. pp. 101-113. (inChinese)

[3]Evers J B, Vos J, Fournier C, Andrieu B, Chelle M, Struik PC. 2005. Towards a generic architectural model oftillering in gramineae, as exemplified by spring wheat(Triticum aestivum). New Phytologist, 166, 801-812.

[4]Evers J B, Vos J, Fournier C, Andrieu B, Chelle M, Struik PC. 2007. An architectural model of spring wheat:evaluation of the effects of population density andshading on model parameterization and performance.Ecological Modelling, 200, 308-320.

[5]Fourcaud T, Zhang X, Stokes A, Lambers H, Kner C.2008. Plant growth modelling and applications: theincreasing importance of plant architecture in growthmodels. Annals Botany, 101, 1053-1063.

[6]Gao L Z, Jin Z Q, Li L. 1987. Photo-thermal models of ricegrowth duration for various varietal types in China.Agricultural Forestry Meteorology, 39, 205-213.

[7]Gao L Z, Jin Z Q, Huang Y, Chen H, Li B B. 1992a. RiceCultivational Simulation, Optimization and DecisionmakingSystem (RCSODS). Chinese AgriculturalScience and Technology Press, Beijing. (in Chinese)Gao L Z, Jin Z Q, Huang Y, Zhang L. 1992b. Rice clockmodel- a computer model to simulate rice development.Agricultural Forestry Meteorology, 60, 1-16.

[8]Gao L Z, Jin Z Q, Zhang G S, Shi C L, Ge D K. 2000. Anumerical model to simulate the incident radiation andphotosynthate for rice canopies with optimum planttype. Jiangsu Journal of Agricultural Sciences, 16, 1-9. (in Chinese)

[9]Goudriaan J, Laar V H H. 1978. Calculation of daily totals ofgross CO2 assimilation of leaf canopies. In: Day W, ed.,Wheat Growth and Modeling. Plenum Press, New Yorkand London.Guo Y, Ma Y T, Zhan Z G, Li B G, Dingkuhn M, Luquet D,Reffye D P. 2006. Parameter optimization and fieldvalidation of the functional-structural modelGREENLAB for maize. Annals of Botany, 97, 217-230.

[10]Hanan J S, Hearn A B. 2003. Linking physiological andarchitectural models of cotton. Agricultural Systems,75, 47-77.

[11]Jin Z Q. 1996. Studies of simulation on effects of globeclimate changes on food production in China. Ph Dthesis, Nanjing University, China. (in Chinese)

[12]Jin Y Q. 1993. Method of Sheet Fertilizing and Its Using.Liaoning Scientific and Technological PublishingHouse, Shenyang, China. (in Chinese)

[13]Lacointe A, Minchin P. 2007. Mechanistic modelling ofcarbon allocation among sinks: a generalised M chmodel for branched architectures. [2012-07-05]. http://algorithmicbotany.org/FSPM07/Individual/3.pdf

[14]Lin Q H. 1991. Leaf Number Pattern for Rice and ItsApplications. Jiangsu Science and TechnologicalPublishing House, Nanjing, China. pp. 4-17. (in Chinese)

[15]Liu Y, Lu J F, Cao H X, Shi C L, Liu Y X, Zhu DW, Sun J Y,Yue Y B, Wei X F, Tian P P, et al. 2009. Main geometricalparameter models of rice blade based on biomass.Scientia Agricultura Sinica, 42, 4093-4099. (in Chinese)

[16]Liu Y X, Yue Y B, Liu Y, Cao H X, Ge D K, Wei X F. 2010.Quantitative research of dynamic models of the maingeometric parameters of rice root system of differentvarieties under different nitrogen conditions. ScientiaAgricultura Sinica, 43, 1782-1790. (in Chinese)

[17]Matsushima S. 1984. Crop Science in Rice Nippon Koei.Nippom Koei, Tokyo. pp. 89-109.

[18]Monsi M, Saeki T. 1953. Uber den Lichtfaktor in denPflanzengesellschaften und seine Bedeutung f dieStoffproduktion. The Journal of Japanese Botany, 14,22-52. (in German)

[19]Monteith J L. 1965. Light distribution and photosynthesisin field crops. In: Day W, ed., Wheat Growth andModeling. Plenum Press, New York and London.Nakagawa H, Horie T. 1995. Modelling and prediction ofdevelopmental process in rice II. amodel for simulatingpanicle development based on daily photoperiod andtemperature. Japanese Journal of Crop Science, 64,33-42.

[20]Penning de Vries F W T, Jansen D M, ten Berge H F M,Bakema A. 1989. Simulation of EcophysiologicalProcess of Growth in Several Annual Crops. SimulationMonographs 29. Pudoc, Wageningen, The Netherlands.p. 271.

[21]Perttunen J, Sieven R, Nikinmaa E, Salminen H, Vakev AJ. 1996. Lignum: a tree model based oil simple structuralunits. Annals of Botany, 77, 87-98.

[22]Perttunen J, Sieven R, Nikinmaa E. 1998. Lignum: a modelcombining the structure and the functioning of trees.Ecological Modelling, 108, 189-198.

[23]Perttunen J, Nikinmaa E, Martin J, Lechowicz, Sieven R,Messier C. 2001. Application of the functional -structural tree model Lignum to sugarmaple saplings(Acer saccharum Mmarsh) vowing in forest gaps.Annals of Botany, 88, 471-481.

[24]de Reffye P, Blaise F, Chemouny S, Jaffuel S, Fourcaud T,Houllier F. 1999. Calibration of a hydraulic architecturebasedgrowth model on the architecture of cottonplants. Agronomie, 19, 265-280.

[25]Risto S. 2007. Looking back: Ten years of FSPM. [2010-10-06]. http://algorithmicbot any.org/FSPM07 /proceedings.html

[26]CAO Hong-xin,Shi C L, Zhu Y, Cao W X. 2006. A simulation analysis ongeometrical parameters of rice leaf blade. ScientiaAgricultura Sinica, 39, 910-915. (in Chinese)

[27]Sieven R, Nikinmaa E, Nygren P, Ozier-Lafontaine H,Perttunen J, Hakula H. 2000. Components of functional- structural tree models. Annals of Forest Science, 57,399-412.

[28]Song Y H, Guo Y, Li B G, Philippe D R. 2003. Virtual mazemodel I, plant morphological construting based onorgan biomass accumulation. Acta Ecological Sinica,23, 2579-2586. (in Chinese)

[29]Thornley J H M. 1977. Growth, maintenance and respiration.In: Day W, ed., Wheat Growth and Modelling. PlenumPress, New York and London.Wang F T, Li Y Z, Wang S L. 1990. Introduction forMeteorological Simulat ion and Models o fAgricultural Yield. Scientific Publishing House, Beijing,China. (in Chinese)

[30]Watanabe T, Hanan J S, Room PM, Hasegawa T, NakagawaH, Takahashi W. 2005. Rice morphogenesis and plantarchitecture: measurement, specification and thereconstruction of structural development by 3Darchitectural modelling. Annals of Botany, 95, 1131-1143.

[31]Wernecke P, M ler J, Dornbusch T, Wernecke A,Diepenbrock W. 2007. The virtual crop-modellingsystem ICA specified for barley. In: Vos J, MarcelisL F M, de Visser P H B, Struik P C, Evers J B, eds.,Functional-Structural Plant Modelling in CropProduction. Dordrecht, Springer, The Netherlands. pp.53-64.

[32]Yan H P, Kang M Z, de Reffye P, Dingkuhn M. 2004. Adynamic architectural plant model simulating resourcedependentgrowth. Annals of Botany, 93, 591-602.

[33]Yoshida S. 1981. Fundamentals of Rice Crop Science.International Rice Research Institute, Los Banos,Philippines. pp. 17-61.Zhao W P. 1982. Crop Physiology. Agricultural Scientificand Technological Publishing House, Beijing, China.(in Chinese)

Biomass-Based Rice (Oryza sativa L.)AbovegroundArchitectural Parameter Models

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