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课题组介绍

研究领域

  遗传分析与育种方法研究

  QTL作图方法研究

  多亲本群体和交配设计

  植物育种建模

  利用已知基因信息育种

  工具和软件开发

  连锁图谱构建工具

  QTL作图软件

  育种模拟工具

  遗传育种集成工具

  遗传育种应用

  高密度连锁图谱构建

  各类遗传群体分析方法

  育种策略模拟和最优化

  育种设计方法

国内研究项目

  多基因聚合育种理论及其在水稻品质育种中的应用研究”, 国家 863 计划 (2006 – 2010)

  主要农作物骨干亲本遗传构成和利用效应的基础研究”, 国家 973 计划(2006 – 2010; 2011 – 2015)

   “玉米杂交种表现的预测方法研究”, 国家自然基金项目 (2008 –2010)

  多亲本交配设计及其遗传分析方法研究”, 国家自然基金项目(2011 – 2013)

国际合作

  “Strategic Framework to Model CIMMYT Wheat Breeding Programs with Application to Australia”, funded by GRDC, Australia (2000 – 2004).

  “Optimizing Marker-assisted Breeding Systems for Drought Tolerance in Cereals through Linkage of Physiological and Genetic Models”, funded by the Generation Challenge Program (GCP) (2005 2007)

  “Optimization of Crossing and Selection Strategies in Improving Micronutrient Concentrations in HarvestPlus Crops”, funded by the HarvestPlus Challenge Program (2007 – 2010)

   “Breeding for Drought Tolerance with Known Gene Information”, funded by GCP (2008 2010)

   “Develop and Deploy Simulation Tools for Complex GE Systems (IBP-Activity 2.2.3)”, funded by GCP (2009 2014)

  “Breeding to optimize Chinese Agriculture”, funded by Seventh framework programme OPTICHINA (2011- 2013).

  “作物分子遗传和育种研究的新方法和集成工具”,科技部对欧盟科技合作专项经费资助项目(2012- 2013)

部分遗传学方面的发表论文

  Wang J., et al. 2006. QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines. Genet. Res. 88: 93-104

  Li H., et al. 2007. A modified algorithm for the improvement of composite interval mapping. Genetics 175: 361-374

  Zhang L., et al. 2008. Interactions between markers can be caused by the dominance effect of QTL. Genetics 180: 1177-1190

  Li H., et al. 2008. Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations. Theor. Appl. Genet. 116: 243-260

  Zhang L., et al. 2010. Effects of missing marker and segregation distortion on QTL mapping in F2 populations. Theor. Appl. Genet. 121: 1071-1082

  Li H., et al. 2010. Statistical properties of QTL linkage mapping in biparental genetic populations. Heredity 105: 257-267

  Li H., et al. 2011. Joint QTL linkage mapping for multiple-cross mating design sharing one common parent. PLoS ONE 6(3): e17573

  Wang Y., et al. 2012. On the use of mathematically-derived traits in QTL mapping. Mol. Breed. 29:661-673

  Zhang L., et al. 2012. The Statistical Power of Inclusive Composite Interval Mapping in Detecting Digenic Epistasis Showing Common F2 Segregation Ratios. Journal of Integrative Plant Biology 54 (4): 270–279

  Li H., et al. 2012. Estimation of statistical power and false discovery rate of QTL mapping methods through computer simulation. Chinese Science Bulletin (accepted)

部分育种方面的发表论文

  Wang J., et al. 2003. Comparison of two breeding strategies by computer simulation. Crop Science 43:1764-1773.

  Wang J., et al. 2005. Using computer simulation of the selection process and known gene information to assist in parental selection in wheat quality breeding. Aus. J. Agric. Res. 56: 465-473.

  Wang J., et al. 2007. Application of identified QTL-marker associations in rice quality improvement through a design breeding approach. Theor. Appl. Genet. 115: 87-100.

  Wang J., et al. 2007. Application of population genetic theory and simulation models to efficiently pyramid multiple genes via marker-assisted selection. Crop Science 47: 580-588.

  Wang J., et al. 2009. Investigating the efficiency of the single backcrossing breeding strategy through computer simulation. Theor. Appl. Genet. 118: 683-694.

  Wang J., et al. 2009. Simultaneous selection of major and minor genes: use of QTL to increase selection efficiency of coleoptile length of wheat (Triticum aestivum L.). Theor. Appl. Genet. 119: 65-74.