PART OF A SPECIAL ISSUE ON GROWTH AND ARCHITECTURAL MODELLING A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes
暂无分享,去创建一个
Gerhard Buck-Sorlin | Winfried Kurth | Jun Zhu | Michael Henke | Lifeng Xu | G. Buck-Sorlin | W. Kurth | Jun Zhu | M. Henke | Wageningen Ur | Lifeng Xu
[1] J. Zhu,et al. Quantitative trait loci analysis for the developmental behavior of tiller number in rice (Oryza sativa L.) , 1998, Theoretical and Applied Genetics.
[2] Takeshi Horie,et al. A process model for explaining genotypic and environmental variation in growth and yield of rice based on measured plant N accumulation. , 2009 .
[3] Graeme L. Hammer,et al. Assessing climatic risk to sorghum production in water-limited subtropical environments. I.Development and testing of a simulation model , 1994 .
[4] Mark E. Cooper,et al. Modelling Crop Improvement in a G×E×M Framework via Gene–Trait–Phenotype Relationships , 2009 .
[5] A. Paterson,et al. Mapping QTLs with epistatic effects and QTL×environment interactions by mixed linear model approaches , 1999, Theoretical and Applied Genetics.
[6] Guifu Liu,et al. Genetic analysis on tiller number and plant height per plant in rice (Oryza sativa L.) , 2006 .
[7] Jun Zhu,et al. QTL analysis of genetic main effects and genotype × environment interaction effects for yield components in rice (Oryza saliva L.) , 2005 .
[8] Xinyou Yin,et al. Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomics. , 2008, The New phytologist.
[9] Przemyslaw Prusinkiewicz,et al. The Algorithmic Beauty of Plants , 1990, The Virtual Laboratory.
[10] Paul-Henry Cournède,et al. Quantitative genetics and functional-structural plant growth models: simulation of quantitative trait loci detection for model parameters and application to potential yield optimization. , 2007, Annals of botany.
[11] Xinyou Yin,et al. Extension of a biochemical model for the generalized stoichiometry of electron transport limited C3 photosynthesis , 2004 .
[12] Yang Xc,et al. Genetic modification of plant architecture and variety improvement in rice , 2008 .
[13] B. Andrieu,et al. A process-based model to simulate nitrogen distribution in wheat (Triticum aestivum) during grain-filling. , 2008, Functional plant biology : FPB.
[14] X. Yang,et al. Genetic modification of plant architecture and variety improvement in rice , 2008, Heredity.
[15] G. Khush. Green revolution: the way forward , 2001, Nature Reviews Genetics.
[16] Graeme L. Hammer,et al. Future contributions of crop modelling—from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement , 2002 .
[17] Martin J. Kropff,et al. Use of component analysis in QTL mapping of complex crop traits : A case study on yield in barley , 2002 .
[18] B. Andrieu,et al. A 3D Architectural and Process-based Model of Maize Development , 1998 .
[19] Xiaopeng Zhang,et al. Plant growth modelling and applications: the increasing importance of plant architecture in growth models. , 2007, Annals of botany.
[20] F. Tardieu. Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. , 2003, Trends in plant science.
[21] Jun Zhu,et al. Molecular dissection of developmental behavior of plant height in rice (Oryza sativa L.). , 1998, Genetics.
[22] Cao Gang. Study on Epistatic Effects and QTL × Environment Interaction Effects of QTLs for Panicle Length in Rice ( Oryza sativa L ) , 2001 .
[23] B. Walsh,et al. Models for navigating biological complexity in breeding improved crop plants. , 2006, Trends in plant science.
[24] Michael Henke,et al. A Rule-Based Functional-Structural Model of Rice Considering Source and Sink Functions , 2009, 2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications.
[25] Leonidas J. Guibas,et al. Robust Monte Carlo methods for light transport simulation , 1997 .
[26] B. Andrieu,et al. Towards a generic architectural model of tillering in Gramineae, as exemplified by spring wheat (Triticum aestivum). , 2005, The New phytologist.
[27] Paul C. Struik,et al. Functional-Structural Plant Modelling in Crop Production , 2007 .
[28] Winfried Kurth,et al. MORPHOLOGICAL MODELS OF PLANT GROWTH : POSSIBILITIES AND ECOLOGICAL RELEVANCE , 1994 .
[29] J. Zhu,et al. [QTL analysis for epistatic effects and QTL x environment interaction effects on final height of rice (Oryza sativa L.)]. , 2001, Yi chuan xue bao = Acta genetica Sinica.
[30] Gerhard Buck-Sorlin,et al. The rule-based language XL and the modelling environment GroIMP illustrated with simulated tree competition. , 2008, Functional plant biology : FPB.
[31] Winfried Kurth,et al. Barley morphology, genetics and hormonal regulation of internode elongation modelled by a relational growth grammar. , 2005, The New phytologist.
[32] Z. Jun. QTL Analysis of Genetic Main Effects and Genotype (Environment Interaction Effects for Yield Components in Rice Oryza sativa L.) , 2002 .
[33] K. Hikosaka,et al. Seasonal changes in temperature dependence of photosynthetic rate in rice under a free-air CO(2) enrichment. , 2006, Annals of botany.
[34] Xinyou Yin,et al. The role of ecophysiological models in QTL analysis: the example of specific leaf area in barley , 1999, Heredity.
[35] Cris Kuhlemeier,et al. Plant architecture , 2002, EMBO reports.
[36] M. Kropff,et al. Possibility of Increasing Yield Potential of Rice by Reducing Panicle Height in the Canopy. I. Effects of Panicles on Light Interception and Canopy Photosynthesis. , 1995 .
[37] Jun Zhu,et al. QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations , 2008, Bioinform..
[38] Yan Guo,et al. New advances in virtual plant research , 2001 .
[39] P. Wernecke,et al. LEAFC3-N: a nitrogen-sensitive extension of the CO2 and H2O gas exchange model leafc3 parameterised and tested for winter wheat (Triticum aestivum L.) , 2005 .
[40] G. Buck-Sorlin,et al. A grammar-based model of barley including virtual breeding, genetic control and a hormonal metabolic network , 2007 .
[41] J. Zhu,et al. Impact of epistasis and QTL×environment interaction on the developmental behavior of plant height in rice (Oryza sativa L.) , 2001, Theoretical and Applied Genetics.
[42] T. Hirano,et al. The Effect of the Amount of Nitrogen Fertilizer on Starch Metabolism in Leaf Sheath of Japonica and Indica Rice Varieties during the Heading Period , 2005 .
[43] Greg McLean,et al. Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. , 2010, Journal of experimental botany.
[44] Graeme L. Hammer,et al. Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems , 2005 .
[45] William J. Massman,et al. Coupling biochemical and biophysical processes at the leaf level: an equilibrium photosynthesis model for leaves of C3 plants , 1995 .
[46] Jan Vos,et al. A flexible sigmoid function of determinate growth. , 2003, Annals of botany.
[47] J. Goudriaan,et al. Modelling Potential Crop Growth Processes , 1994, Current Issues in Production Ecology.
[48] P. de Reffye,et al. Parameter optimization and field validation of the functional-structural model GREENLAB for maize at different population densities. , 2007, Annals of botany.
[49] Jun Zhu,et al. Mapping the genetic architecture of complex traits in experimental populations , 2007, Bioinform..
[50] G. Buck-Sorlin,et al. A rule-based model of barley morphogenesis, with special respect to shading and gibberellic acid signal transduction. , 2007, Annals of botany.
[51] Yan Guo,et al. Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising. , 2008, Functional plant biology : FPB.
[52] He Ci. QTL Mapping for Developmental Behaviour of Leaf Sheath Height in Rice , 2000 .
[53] J. Hanan,et al. Rice morphogenesis and plant architecture: measurement, specification and the reconstruction of structural development by 3D architectural modelling. , 2005, Annals of botany.
[54] D. Luquet,et al. Orchestration of transpiration, growth and carbohydrate dynamics in rice during a dry-down cycle. , 2008, Functional plant biology : FPB.
[55] B. Andrieu,et al. Functional-structural plant modelling: a new versatile tool in crop science. , 2010, Journal of experimental botany.
[56] Gerhard Buck-Sorlin,et al. A dynamic 3D model of rape (Brassica napus L.) computing yield components under variable nitrogen fertilization regimes , 2007 .
[57] Mark E. Cooper,et al. Gene-to-phenotype models and complex trait genetics , 2005 .
[58] Cao Gang. QTL Analysis for Flag Leaf Length in a Rice DH Population under Multi Environments , 2007 .
[59] Ole Kniemeyer. Design and implementation of a graph grammar based language for functional-structural plant modelling , 2008 .
[60] Xinyou Yin,et al. Crop Systems Dynamics: An Ecophysiological Simulation Model for Genotype-By-Environment Interactions , 2005 .
[61] Mikhail A. Semenov,et al. Quantifying effects of simple wheat traits on yield in water-limited environments using a modelling approach , 2009 .
[62] G. Hammer,et al. Functional dynamics of the nitrogen balance of sorghum. II. Grain filling period. , 2010 .
[63] K. Ishimaru,et al. Identification of a new gene controlling plant height in rice using the candidate-gene strategy , 2004, Planta.
[64] A dynamic 3 D model of rape ( Brassica napus L . ) computing yield components under variable nitrogen fertilisation regimes , 2007 .
[65] G. Hammer,et al. Functional dynamics of the nitrogen balance of sorghum: I. N demand of vegetative plant parts , 2010 .