专论与研究

浅析植物模型在水稻育种和栽培上的应用

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  • 1浙江省农业科学院 数字农业研究所,杭州 310021;2浙江农林大学 天目学院,浙江 诸暨 311800;3浙江省农业科学院 作物与核技术利用研究所,杭州 310021;4杭州师范大学遥感与地球科学研究院,杭州 311121

网络出版日期: 2014-03-20

基金资助

杭州师范大学遥感与地球科学研究院开放基金项目(PDKF2012YG15);浙江省农业科学院创新能力提升工程项目

Application of Plant Modeling on Rice Breeding and Cultivation: a Brief Review

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Online published: 2014-03-20

摘要

水稻是重要的粮食作物,以水稻模型为核心的信息技术在水稻生产和育种中具有重要作用。本文对植物模型进行分类,并阐述了每类模型在水稻育种和生产中的作用:水稻功能模型能够预测水稻生长发育过程中包括产量在内的群体指标,能够结合遥感技术、地理信息系统等技术手段为农场主或农业决策部门提供支撑,同时能够进行虚拟实验,完成田间实际难以完成或者消耗较大的科学实验;水稻结构模型能够描述水稻的空间结构变化,用以对水稻冠层进行分析,进行冠层光合潜力的计算,评估理想株型等;水稻功能结构模型可以模拟生物量在器官间的分配,用以进行模拟实验,寻找更为合理的根冠比等,培育优质高产水稻。本文还探寻了制约模型推广应用的各种原因,并且给出一定的解决办法。

本文引用格式

李冬1, 丁新泉2, 王俊敏3, 周斌4*, 闫翠香2 . 浅析植物模型在水稻育种和栽培上的应用[J]. 中国稻米, 2014 , 20(2) : 35 -39 . DOI: 10.3969/j.issn.1006-8082.2014.02.010

Abstract

Rice is one of the most important crops in China. Information technology,especially rice modelling,will be very useful to rice cultivation and breeding. In this paper, the author preliminary summarized most of plant models and divided them into three categories, process based model (PBM, or functional model), structural model and functional-structural model (FSPM). Then the authors briefly told their role in rice cultivation and breeding. The process based model could be used to: predict the rice growth and yield, support the farmer or government to make decision on rice production together with remote sensing technology (RS) and geographic information system (GIS), do virtual experiments which could not be conducted in the field or would cost a lot. Structural model could be used to quantitatively describe the canopy in detail, calculate the potential photosynthesis capacity of different cultivar canopies and evaluate the rice ideotype, etc. The functional-structural model could be used to simulate the biomass allocated among different organs and then simulate and find the appropriate way to get more productive rice cultivars. The authors also discussed the reasons why the model could not be used broadly and gave some solutions.

参考文献

[1]    袁隆平. 杂交水稻超高产育种[J]. 杂交水稻, 1997,12(6):1-6.

[2]    陈温福,徐正进,唐亮. 中国超级稻育种研究进展与前景[J]. 沈阳农业大学学报,2012,43(6):643-649.

[3]    中稻宣. 2013年农业部确认的超级稻示范推广品种[J]. 中国稻米,2013,19(2):5.

[4]    汪懋华. “精细农业” 发展与工程技术创新[J]. 农业工程学报,1999,15(1):1-8.

[5]    汪懋华. 关于精细农业试验示范与发展研究的思考[J]. 中国农业科技导报,2003,5(1):7-12.

[6]    曹宏鑫,石春林,金之庆. 植物形态结构模拟与可视化研究进展[J]. 中国农业科学,2008,41(3):669-677.

[7]    郭焱,李保国. 虚拟植物的研究进展[J]. 科学通报,2001,46(4):273-280.

[8]    Bouman B, Van Keulen H, Van Laar H, et al. The“School of de Wit”crop growth simulation models: a pedigree and historical overview[J]. Agri Syst, 1996. 52(2): p. 171-198.

[9]    Sinclair T R, Seligman N G. Crop modeling: from infancy to maturity[J]. Agron J, 1996, 88(5): 698-704.

[10]  谢云, Kiniry R J. 国外作物生长模型发展综述[J]. 作物学报,2002,28(2):190-195.

[11]  Clark B,Bullock S. Shedding light on plant competition: modelling the influence of plant morphology on light capture (and vice versa) [J]. J Theor Biol, 2007, 244(2):208-217.

[12]  Birch C, Andrieu B, Fournier C, et al. Modelling kinetics of plant canopy architecture-concepts and applications[J]. Eur J Agron, 2003. 19(4): p. 519-533.

[13]  赵春江,陆声链,郭新宇,等. 数字植物及其技术体系探讨[J]. 中国农业科学,2010,43(10):2023-2030.

[14]  Fourcaud T, Zhang X P, Stokes A, et al. Plant growth modelling and applications: the increasing importance of plant architecture in growth models[J]. Ann Bot, 2008, 101(8): 1053-1063.

[15]  Godin C, Sinoquet H. Functional-structural plant modelling[J]. New Phytol, 2005, 166(3): 705-708.

[16]  Vos J, Evers J, Buck-Sorlin G, et al. Functional–structural plant modelling: a new versatile tool in crop science[J]. J Exp Bot, 2010, 61(8): 2101-2115.

[17]  Dong Q X, Louarn G, Wang Y M, et al. Does the structure function model GREENLAB deal with crop phenotypic plasticity induced by plant spacing? A case study on tomato[J]. Ann Bot, 2008, 101(8):1195-1206.

[18]  Guo Y, Ma Y T, Zhan Z G, et al. Parameter optimization and field validation of the functional-structural model GREENLAB for maize[J]. Ann Bot, 2006, 97(2):217-230.

[19]  Kang M Z, Evers J B, Vos J, et al. The derivation of sink functions of wheat organs using the GreenLab Model[J]. Ann Bot, 2008, 101(8): 1099-1108.

[20]  Ma Y T, Li B G., Zhan Z G, et al. Parameter stability of the functional-sructural plant model GREENLAB as affected by variation within populations,  among seasons and among growth stages[J]. Ann Bot, 2007, 99(1):61-73.

[21]  Ma Y T, Wen M P, Guo Y, et al. Parameter optimization and field validation of the functional structural model GREENLAB for maize at different population densities[J]. Ann Bot, 2008, 101(8): 1185-1194.

[22]  Sarkar R, Kar S. Sequence analysis of DSSAT to select optimum strategy of crop residue and nitrogen for sustainable rice-wheat rotation[J]. Agron J, 2008, 100(1): 87-97.

[23]  Bouman B, Van Laar H. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions[J]. Agr Syst, 2006, 87(3): 249-273.

[24]  薛昌颖,杨晓光,冯利平. ORYZA2000 模型模拟北京地区早稻的适应性初探[J]. 作物学报,2005,31(12):1567-1571.

[25]  高亮之,金之庆,黄耀,等. 水稻计算机模拟模型及其应用之一水稻钟模型——水稻发育动态的计算机模型[J]. 中国农业气象,1989,10(3):3-10.

[26]  曹宏鑫,赵锁劳,葛道阔,等. 作物模型发展探讨[J]. 中国农业科学,2011,44(17):3520-3528.

[27]  Mitchell P, Sheehy J. Supercharging rice photosynthesis to increase yield[J]. New Phytol, 2006, 171(4): 688-693.

[28]  Yin X, Struik P C. Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomics[J]. New Phytol, 2008, 179(3): 629-642.

[29]  Miura K, Ikeda M, Matsubara A, et al. OsSPL14 promotes panicle branching and higher grain productivity in rice[J]. Nat Genet, 2010, 42(6): 545-549.

[30]  Yang W, Ren S, Zhang X, et al. Bent uppermost internode1 Encodes the Class II FH5 crucial for actin organization and rice development[J]. The Plant Cell Online, 2011: 110.081802 v1.

[31]  Yang X C, Hwa C M. Genetic modification of plant architecture and variety improvement in rice[J]. Heredity, 2008, 101(5): 396-404.

[32]  Khush G S. Green revolution: the way forward[J]. Nat Rev Genet, 2001, 2(10): 815-822.

[33]  Dingkuhn M, De Vries F, De Datta S, et al. Concepts for a new plant type for direct seeded flooded tropical rice[C]. In the international rice research conference. Seoul, Korea: Int Rice Research Inst, 1991.

[34]  Virk P, Khush G, Peng S. Breeding to enhance yield potential of rice at IRRI: the ideotype approach[J]. Int Rice Res Notes, 2004, 29(1): 5-9.

[35]  徐正进,陈温福. 直立穗型水稻群体生理生态特性及其利用前景[J]. 科学通报,1996,41(12):1122-1126.

[36]  程式华,曹立勇,陈深广,等. 后期功能型超级杂交稻的概念及生物学意义[J]. 中国水稻科学,2005,19(3):280-284.

[37]  Falster D S, Westoby M. Leaf size and angle vary widely across species: what consequences for light interception?[J]. New Phytol, 2003, 158(3):509-525.

[38]  King D A. The functional significance of leaf angle in Eucalyptus[J]. Aust J Bot, 1997, 45(4): 619-639.

[39]  Werner C, Ryel R J, Correia O, et al. Structural and functional variability within the canopy and its relevance for carbon gain and stress avoidance[J]. Acta Oecologica, 2001, 22(2): 129-138.

[40]  Wang X, Guo Y, Li B, et al. Evaluating a three dimensional model of diffuse photosynthetically active radiation in maize canopies[J]. Int J Biometeorol, 2006, 50(6): 349-357.

[41]  郑邦友,石利娟,马韫韬,等. 水稻冠层的田间原位三维数字化及虚拟层切法研究[J]. 中国农业科学,2009,42(4):1181-1189.

[42]  Watanabe T, Hanan J S, Room P M, et al. Rice morphogenesis and plant architecture: measurement,  specification and the reconstruction of structural development by 3D architectural modelling[J]. Ann Bot, 2005, 95(7):1131.

[43]  石春林,朱艳,曹卫星. 水稻叶曲线特征的机理模型[J]. 作物学报,2006,32(5):656-660.

[44]  Zheng B, Shi L, Ma Y, et al. Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising[J]. Funct Plant Biol, 2008, 35(10): 900-910.

[45]  Zheng B, Ma Y, Li B, et al. Assessment of the influence of global dimming on the photosynthetic production of rice based on three-dimensional modeling[J]. Sci China: Earth Sci, 2011, 54(2): 290-297.

[46]  Li D, Wang J, Zhan Z, et al. Modeling and analyzing the influence of blade shape to rice structure[C]. 2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications. Shanghai: IEEE PRESS, 2012

[47]  Cournède P H, Mathieu A, Houllier F, et al. Computing competition for light in the GREENLAB model of plant growth: a contribution to the study of the effects of density on resource acquisition and architectural development[J]. Ann Bot, 2008, 101(8): 1207-1219.

[48]  Yan H P, Kang M Z, De Reffye P, et al. A dynamic, architectural plant model simulating resource‐dependent growth[J]. Ann Bot, 2004, 93(5): 591-602.
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