Gene-based modelling for rice: an opportunity to enhance the simulation of rice growth and development?
暂无分享,去创建一个
Gerrit Hoogenboom | Mohammad Bannayan | Kazuhiko Kobayashi | Hassan Marashi | G. Hoogenboom | M. Bannayan | K. Kobayashi | H. Marashi
[1] Gurdev S. Khush,et al. Rice karyotype, marker genes, and linkage groups. , 1991 .
[2] J. M. Lilley,et al. Expression of osmotic adjustment and dehydration tolerance in diverse rice lines , 1996 .
[3] A. Riggs,et al. Epigenetic mechanisms of gene regulation , 1996 .
[4] P. Prusinkiewicz. Modeling plant growth and development. , 2004, Current opinion in plant biology.
[5] A. Bleecker,et al. The Fate of Inflorescence Meristems Is Controlled by Developing Fruits in Arabidopsis , 1994, Plant physiology.
[6] M. Yano,et al. Hd1, a Major Photoperiod Sensitivity Quantitative Trait Locus in Rice, Is Closely Related to the Arabidopsis Flowering Time Gene CONSTANS , 2000, Plant Cell.
[7] K. Chase,et al. Interactions between quantitative trait loci in soybean in which trait variation at one locus is conditional upon a specific allele at another. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[8] K. Devos,et al. Plant comparative genetics after 10 years. , 1998, Science.
[9] M. Matsuoka,et al. slender Rice, a Constitutive Gibberellin Response Mutant, Is Caused by a Null Mutation of the SLR1 Gene, an Ortholog of the Height-Regulating Gene GAI/RGA/RHT/D8 , 2001, Plant Cell.
[10] James W. Jones,et al. Modeling Growth, Development, and Yield of Grain Legumes using Soygro, Pnutgro, and Beangro: A Review , 1992 .
[11] S. Fukai,et al. Development of drought-resistant cultivars using physiomorphological traits in rice , 1995 .
[12] François Tardieu,et al. Dealing with the genotype x environment interaction via a modelling approach: a comparison of QTLs of maize leaf length or width with QTLs of model parameters. , 2004, Journal of experimental botany.
[13] R. Rabbinge,et al. Explanatory models in crop physiology , 1979 .
[14] W. Li,et al. Mapping of quantitative trait loci based on growth models , 2002, Theoretical and Applied Genetics.
[15] A. Worland,et al. Genetic dissection of heading time and its components in rice , 2001, Theoretical and Applied Genetics.
[16] Kenneth J. Boote,et al. Rubisco expression in rice leaves is related to genotypic variation of photosynthesis under elevated growth CO2 and temperature , 2003 .
[17] E. Jablonka,et al. The inheritance of acquired epigenetic variations. , 1989, Journal of theoretical biology.
[18] D. Costich,et al. Genome size, quantitative genetics and the genomic basis for flower size evolution in Silene latifolia. , 2005, Annals of botany.
[19] K. Ishimaru,et al. Identification of a Locus Increasing Rice Yield and Physiological Analysis of Its Function1 , 2003, Plant Physiology.
[20] M. J. Kropff,et al. AFLP mapping of quantitative trait loci for yield-determining physiological characters in spring barley , 1999, Theoretical and Applied Genetics.
[21] Jeffrey W. White,et al. From genome to crop: integration through simulation modeling , 2004 .
[22] Gerrit Hoogenboom,et al. Determination of Cultivar Coefficients of Peanut Lines for Breeding Applications of the CSM-CROPGRO-Peanut Model , 2007 .
[23] Gurdev S. Khush,et al. Identification and characterization of quantitative trait loci affecting spikelet number per panicle in rice (Oryza sativa L.) , 2004 .
[24] Simon Griffiths,et al. Comparative genetic approaches to the identification of flowering time genes in temperate cereals , 2004 .
[25] K. Shimamoto,et al. Rice as a model for comparative genomics of plants. , 2002, Annual review of plant biology.
[26] Jeffrey W. White,et al. Gene‐Based Approaches to Crop Simulation , 2003 .
[27] Graeme L. Hammer,et al. Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems , 2005 .
[28] D. Hoisington,et al. Marker-assisted selection: new tools and strategies , 1998 .
[29] Akira Yamauchi,et al. RRL1, RRL2 and CRL2 loci regulating root elongation in rice , 2001 .
[30] A. D. Tomos,et al. Quantitative trait loci associated with stomatal conductance, leaf rolling and heading date mapped in upland rice (Oryza sativa) , 1997 .
[31] S. Goff,et al. Rice as a model for cereal genomics. , 1999, Current opinion in plant biology.
[32] D. Botstein,et al. The transcriptional program of sporulation in budding yeast. , 1998, Science.
[33] Hendrik Poorter,et al. Inherent variation in plant growth : physiological mechanisms and ecological consequences , 1998 .
[34] Wei Lu,et al. [QTL analysis for traits associated with photosynthetic functions in rice (Oryza sativa L.)]. , 2005, Yi chuan xue bao = Acta genetica Sinica.
[35] Alain Charcosset,et al. Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit1 , 2003, Plant Physiology.
[36] P. K. Gupta,et al. Molecular markers and QTL analysis in crop plants , 2002 .
[37] Tyagi,et al. Rice transformation for crop improvement and functional genomics. , 2000, Plant science : an international journal of experimental plant biology.
[38] Stephen M. Welch,et al. A Genetic Neural Network Model of Flowering Time Control in Arabidopsis thaliana , 2003 .
[39] Ben Hui Liu,et al. Statistical Genomics: Linkage, Mapping, and QTL Analysis , 1997 .
[40] Jeffrey W. White,et al. Improving Physiological Assumptions Of Simulation Models By Using Gene‐Based Approaches , 2003 .
[41] Graeme L. Hammer,et al. Improving Genotypic Adaptation in Crops – a Role for Breeders, Physiologists and Modellers , 1991, Experimental Agriculture.
[42] R. L. Bernard,et al. Modeling Genetic Effects on the Photothermal Response of Soybean Phenological Development , 2003, Agronomy Journal.
[43] Jeffrey W. White,et al. Crop Modeling and the Identification of Stable Coefficients that May Reflect Significant Groups of Genes , 2003 .
[44] J. Baker. Yield responses of southern US rice cultivars to CO2 and temperature , 2004 .
[45] P. Stam,et al. Crop physiology, QTL analysis and plant breeding. , 1998 .
[46] Jeffrey W. White,et al. Genomics and the physiologist: bridging the gap between genes and crop response , 2004 .
[47] Gerrit Hoogenboom,et al. Yield stability evaluation of peanut lines: A comparison of an experimental versus a simulation approach , 2006 .
[48] Kazuyuki Doi,et al. Ehd1, a B-type response regulator in rice, confers short-day promotion of flowering and controls FT-like gene expression independently of Hd1. , 2004, Genes & development.
[49] A. D. Tomos,et al. Genetic dissection of root growth in rice (Oryza sativa L.). II: mapping quantitative trait loci using molecular markers , 1997, Theoretical and Applied Genetics.
[50] F. V. van Eeuwijk,et al. QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley. , 2005, Journal of experimental botany.
[51] Vikrant Gupta,et al. Decoding the rice genome , 2006, BioEssays : news and reviews in molecular, cellular and developmental biology.
[52] F. Tardieu. Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. , 2003, Trends in plant science.
[53] Xinyou Yin,et al. Coupling estimated effects of QTLs for physiological traits to a crop growth model: predicting yield variation among recombinant inbred lines in barley , 2000, Heredity.
[54] S. S. Virmani,et al. Hybrid rice technology : new developments and future prospects : selected paper from the International Rice Refearch Conferemce , 1994 .
[55] Arthur D. Riggs,et al. Overview of Epigenetic Mechanisms , 1996 .
[56] S. Chen,et al. A new AOX homologous gene OsIM1 from rice (Oryza sativa L.) with an alternative splicing mechanism under salt stress , 2003, Theoretical and Applied Genetics.
[57] Z B Zeng,et al. Multiple trait analysis of genetic mapping for quantitative trait loci. , 1995, Genetics.
[58] Catherine M Smart,et al. Gene expression during leaf senescence. , 1994, The New phytologist.
[59] Yukihisa Shimada,et al. Loss-of-function of a rice brassinosteroid biosynthetic enzyme, C-6 oxidase, prevents the organized arrangement and polar elongation of cells in the leaves and stem. , 2002, The Plant journal : for cell and molecular biology.
[60] Stephen M. Welch,et al. A Genetic Neural Network Model of Flowering Time Control in , 2003 .
[61] J. Li,et al. Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross , 1996, Theoretical and Applied Genetics.
[62] Xinyou Yin,et al. Role of crop physiology in predicting gene-to-phenotype relationships. , 2004, Trends in plant science.
[63] M. Yano,et al. Identification of heading date quantitative trait locus Hd6 and characterization of its epistatic interactions with Hd2 in rice using advanced backcross progeny. , 2000, Genetics.
[64] T. Mackay. The genetic architecture of quantitative traits. , 2001, Annual review of genetics.
[65] R. Ellis,et al. The Control of Flowering in Wheat and Barley: What Recent Advances in Molecular Genetics Can Reveal , 1998 .
[66] A. Worland,et al. Time-related mapping of quantitative trait loci underlying tiller number in rice. , 1999, Genetics.
[67] M. Matsuoka,et al. Loss‐of‐function mutations in the rice homeobox gene OSH15 affect the architecture of internodes resulting in dwarf plants , 1999, The EMBO journal.
[68] J. Yamagishi,et al. Flowering response of rice to photoperiod and temperature: a QTL analysis using a phenological model , 2005, Theoretical and Applied Genetics.
[69] Honggang Zheng,et al. Locating genomic regions associated with components of drought resistance in rice: comparative mapping within and across species , 2001, Theoretical and Applied Genetics.
[70] Gerrit Hoogenboom,et al. Determination and evaluation of genetic coefficients of peanut lines for breeding applications , 2004 .
[71] Eric S. Lander,et al. Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms , 1988, Nature.
[72] Jeffrey W. White,et al. Evaluation of a Crop Simulation Model that Incorporates Gene Action , 1997 .
[73] Tadahiko Mae. Physiological nitrogen efficiency in rice: Nitrogen utilization, photosynthesis, and yield potential , 1997 .
[74] K. Ono,et al. Toward the mapping of physiological and agronomic characters on a rice function map: QTL analysis and comparison between QTLs and expressed sequence tags , 2001, Theoretical and Applied Genetics.
[75] M. Yano,et al. Characterization and detection of epistatic interactions of 3 QTLs, Hd1, Hd2, and Hd3, controlling heading date in rice using nearly isogenic lines , 2000, Theoretical and Applied Genetics.
[76] Tsukasa Nagamine. Genetic analysis of photosynthetic capacity of single leaf analyzed by oxygen polarography in rice, Oryza sativa L. , 1991 .
[77] M. Yano,et al. Genetic control of flowering time in rice, a short-day plant. , 2001, Plant physiology.
[78] Jeffrey W. White,et al. Simulating effects of genes for physiological traits in a process-oriented crop model , 1996 .
[79] R. Visser,et al. QTL methodology for response curves on the basis of non-linear mixed models, with an illustration to senescence in potato , 2006, Theoretical and Applied Genetics.
[80] François Tardieu,et al. Modelling leaf expansion in a fluctuating environment: are changes in specific leaf area a consequence of changes in expansion rate? , 1999 .
[81] A. Paterson,et al. Epistasis for three grain yield components in rice (Oryza sativa L.). , 1997, Genetics.
[82] N. Eckardt,et al. Giving Rice the Time of Day: Molecular Identification of a Major Photoperiod Sensitivity Quantitative Trait Locus , 2000, Plant Cell.
[83] Tsuneo Kato,et al. Quantitative Trait Loci Controlling the Number of Spikelets and Component Traits in Rice: Their Main Effects and Interaction with Years , 2004 .
[84] Yoshinobu Takeuchi,et al. Response of rice to Al stress and identification of quantitative trait Loci for Al tolerance. , 2002, Plant & cell physiology.
[85] Qian Qian,et al. QTL analysis of leaf photosynthetic rate and related physiological traits in rice (Oryza sativa L.) , 2004, Euphytica.
[86] James W. Jones,et al. A Gene‐Based Model to Simulate Soybean Development and Yield Responses to Environment , 2006 .
[87] Zhengwei Liang,et al. Fine Mapping and Characterization of Quantitative Trait Loci Hd4 and Hd5 Controlling Heading Date in Rice. , 2003 .
[88] R. T. Cruz,et al. Response of leaf water potential, stomatal resistance, and leaf rolling to water stress. , 1980, Plant physiology.
[89] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[90] C. Cullis,et al. Variation in the isozymes of flax (Linum usitatissimum) genotrophs , 1975, Biochemical Genetics.
[91] Takeshi Horie,et al. Leaf Nitrogen, Photosynthesis, and Crop Radiation Use Efficiency: A Review , 1989 .
[92] Glyn M. Rimmington,et al. Modelling plant growth and development , 1986 .
[93] Fengming Song,et al. OsBIMK1, a rice MAP kinase gene involved in disease resistance responses , 2002, Planta.
[94] Hua-Lin Zhou,et al. A rice transcription factor OsbHLH1 is involved in cold stress response , 2003, Theoretical and Applied Genetics.
[95] James W. Jones,et al. The DSSAT cropping system model , 2003 .
[96] J. Passioura,et al. Increasing crop productivity when water is scarce--from breeding to field management , 2006 .
[97] Martin J. Kropff,et al. Crop modeling, QTL mapping, and their complementary role in plant breeding , 2003 .
[98] K. Shinozaki,et al. OsDREB genes in rice, Oryza sativa L., encode transcription activators that function in drought-, high-salt- and cold-responsive gene expression. , 2003, The Plant journal : for cell and molecular biology.
[99] Mitsuhiro Matsuo,et al. Mapping of QTLs for leaf developmental behavior in rice (Oryza sativa L.) , 2004, Euphytica.
[100] Jian Wang,et al. A microarray analysis of the rice transcriptome and its comparison to Arabidopsis. , 2005, Genome research.
[101] Lizhong Xiong,et al. Over-expression of a LEA gene in rice improves drought resistance under the field conditions , 2007, Theoretical and Applied Genetics.
[102] Akira Yamauchi,et al. Characterization of Rice Mutants Deficient in the Formation of Crown Roots , 2001 .
[103] P. Hunter,et al. Computational physiology and the physiome project , 2004, Experimental physiology.
[104] A. Graner,et al. Localization of quantitative trait loci (QTL) for agronomic important characters by the use of a RFLP map in barley (Hordeum vulgare L.) , 1995, Theoretical and Applied Genetics.
[105] Zhao-Bang Zeng,et al. QTL mapping and the genetic basis of adaptation: recent developments , 2005, Genetica.
[106] A. Nose,et al. Trisomic Analysis of a Lateness Gene ef2 in Rice, Oryza sativa L. , 2005 .
[107] 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 .
[108] Nam,et al. The molecular genetic analysis of leaf senescence. , 1997, Current opinion in biotechnology.
[109] Yoshimichi Fukuta,et al. QTL Mapping of Spikelet Number in Rice : Oryza sativa L. , 2001 .
[110] Masahiko Maekawa,et al. LAX and SPA: Major regulators of shoot branching in rice , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[111] Nori Kurata,et al. PLASTOCHRON1, a timekeeper of leaf initiation in rice, encodes cytochrome P450. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[112] M. Matsuoka,et al. Expression of a rice homeobox gene causes altered morphology of transgenic plants. , 1993, The Plant cell.
[113] S. Pinson,et al. Identification of quantitative trait loci (QTLs) for heading date and plant height in cultivated rice (Oryza sativa L.) , 1995, Theoretical and Applied Genetics.
[114] Walid Sadok,et al. Linking physiological and genetic analyses of the control of leaf growth under changing environmental conditions , 2005 .
[115] M. Ansari,et al. A novel senescence‐associated gene encoding γ‐aminobutyric acid (GABA):pyruvate transaminase is upregulated during rice leaf senescence , 2005 .
[116] Takuji Sasaki,et al. The map-based sequence of the rice genome , 2005, Nature.
[117] Masahiro Miyoshi,et al. Mutations associated with floral organ number in rice , 1996, Planta.
[118] M. Yano,et al. Are contents of Rubisco, soluble protein and nitrogen in flag leaves of rice controlled by the same genetics? , 2001, Journal of experimental botany.
[119] Mayra G Rodríguez,et al. Identification of genes induced upon water-deficit stress in a drought-tolerant rice cultivar. , 2006, Journal of plant physiology.
[120] G. Khush. Origin, dispersal, cultivation and variation of rice , 1997, Plant Molecular Biology.
[121] Qian Qian,et al. Control of tillering in rice , 2003, Nature.