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作物模拟与QTL定位的互补作用及其应用 被引量:2

Combining Crop Modeling and QTL Mapping into an Integral Plant Breeding Strategy
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摘要 作物模型正日益用于设计不同环境中的理想株型育种。DNA分子标记可把复杂的数量性状分解成若干个数量性状位点(quantitative trait loci,QTL)的效应,并将QTL转入到栽培品系中去。作物模拟与QTL定位相结合,QTL将去除若干所测定模型输入参数的随机误差。这种基于QTL效应的作物模型,将弥补常规模型忽视其输入性状遗传效应的缺点,并能更准确地预测遗传群体中各个体间的产量差异。另一方面,作物模型能成为解释“基因型与环境互作”的有力工具,也将弥补QTL定位不能将一个环境条件试验分析结果外推到另一环境条件。基于上述分析,提出了一个将标记辅助育种与以模型为基础的理想株型育种的综合方法。 Crop models have now been increasingly used to assist plant breeding to define crop ideotypes for different environments. In genetics, the advent of molecular markers enables the dissection of a complex trait into a number of quantitative trait loci (QTL), and assists the transfer of these QTL into desired cultivars or lines. A recent study has shown that QTL information can successfully be coupled to crop models to replace measured parameters. QTL-based modeling has overcomed the limitations in ideotyping of using models that ignore the inheritance of model-input traits. On the other hand, crop modeling can potentially be a powerful tool to resolve the interactions between genotype and environment and overcomes the limitation that QTL mapping cannot extend an experimental result of one environment to another environment condition. An approach that integrates marker-assisted selection into model-based ideotyping framework to support breeding for high crop yield was discussed.
出处 《中国农业科学》 CAS CSCD 北大核心 2004年第9期1390-1395,共6页 Scientia Agricultura Sinica
基金 国家自然科学基金资助项目(30060036)
关键词 作物模拟 OTL定位 互补作用 株型 育种 栽培品系 Crop modeling Quantitative trait loci, QTL Genotype-by-environment interatction, G×E DNA molecular marker Ideotype breeding
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参考文献18

  • 1Yin X, Stam P, Kropff M J, Schapendonk A H C M. Crop modeling, QTL mapping, and their complementary role in plant breeding. Agronomy Journal, 2003, 95:90-98.
  • 2Yin X, Kropff M J, Goudriaan J, Stam P. A model analysis of yield differences among recombinant inbred lines in barley. Agronomy Journal, 2000,92:114-120.
  • 3Aggarwal P K, Kropff M J, Cassman K G , ten Berge H F M. Simulating genotypic strategies for increasing rice yield potential in irrigated, tropical environments. Field Crops Research, 1997, 51:5-17.
  • 4Yin X, Kropff M J, Aggarwal P K, Peng S, Horie T. Optimal preflowering phenology of irrigated rice for high yield potential in three Asian environments: A simulation study. Field Crops Research, 1997, 51:19-27.
  • 5Haverkort A J, Kooman P L. The use of systems analysis and modeling of growth and development in potato ideotyping under conditions affecting yields. Euphytica, 1997, 94:191-200.
  • 6Mavromatis T, Boote K J, Jones J W, Irmak A, Shinde D, Hoogenboom G. Developing genetic coefficients for crop simulation models with data from crop performance trials. Crop Science, 2001,41:40-51.
  • 7Stam P. Crop physiology, QTL analysis and plant breeding. In:Lambers H(ed.). Inherent Variation in Plant Growth: Physiological Mechanisms and Ecological Consequences. Leiden, Netherlands: Backhuys Publish, 1998:429-440.
  • 8White J W, Hoogenboom G.Simulating effects of genes for physiological traits in a process-oriented crop model. Agronomy Journal, 1996,88:416-422.
  • 9Paterson A H, Lander E S, Hewitt J D, Peterson S, Lincoln S E, Tanksley S D. Resolution of quantitative factors by using a complete linkage map of restriction fragment length polymorphisms. Nature, 1988, 335:721-726.
  • 10Yin X, Stam P, Dourleijn C J, Kropff M J. AFLP mapping of quantitative trait loci for yield-determining physiological characters in spring barley. Theoretical Applied Genetics, 1999, 99:244-253.

同被引文献64

  • 1张丽霞,刘丕庆,刘学义.染色体单片段代换系的构建及应用于QTL精细定位[J].分子植物育种,2004,2(5):743-746. 被引量:17
  • 2万向元,刘世家,王春明,江玲,翟虎渠,吉村醇,万建民.利用CSSLs群体研究稻米粒型QTL的表达稳定性[J].Acta Genetica Sinica,2004,31(11):1275-1283. 被引量:16
  • 3严小龙 张福锁.植物营养遗传学[M].北京:中国农业出版社,1996..
  • 4盛志廉 陈瑶生.数量遗传学[M].北京:科学出版社,2001.312-356.
  • 5Schneider K A,Brothers M E,Kelly J D.Marker-assisted selection to improve drought resistance in common bean.Crop Science,1997,37(1):51~60
  • 6Stromberg L D,Dudley J W,Rufener G K.Comparing conventional early generation selection with molecular marker-assisted selection in maize.Crop Science,1994,34(5):1221~1225
  • 7Van Berloo R,Stam P.Comparison between marker-assisted selection and phenotypical selection in a set of Arabidopsis thaliana recombinant inbred lines.Theoretical & Applied Genetics,1999,98(1):113~118
  • 8Lander Eric S,Botstein David.Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps.Genetics,1989,121(1):185~199
  • 9Zeng Zhao-Bang.Precision mapping of quantitative trait loci.Genetics,1994,136(4):1457~1468
  • 10Gupta A P,Lewontin R C.A study of reaction norms in natural populations of Drosophila pseudoobscura.Evolution,1982,36(5):934~948

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