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課題組介紹

研究領(lǐng)域

  遺傳分析與育種方法研究

  QTL作圖方法研究

  多親本群體和交配設(shè)計

  植物育種建模

  利用已知基因信息育種

  工具和軟件開發(fā)

  連鎖圖譜構(gòu)建工具

  QTL作圖軟件

  育種模擬工具

  遺傳育種集成工具

  遺傳育種應(yīng)用

  高密度連鎖圖譜構(gòu)建

  各類遺傳群體分析方法

  育種策略模擬和最優(yōu)化

  育種設(shè)計方法

國內(nèi)研究項目

  “多基因聚合育種理論及其在水稻品質(zhì)育種中的應(yīng)用研究”, 國家 863 計劃 (2006 – 2010)

  “主要農(nóng)作物骨干親本遺傳構(gòu)成和利用效應(yīng)的基礎(chǔ)研究”, 國家 973 計劃(2006 – 2010; 2011 – 2015)

   “玉米雜交種表現(xiàn)的預(yù)測方法研究”, 國家自然基金項目 (2008 –2010)

  “多親本交配設(shè)計及其遺傳分析方法研究”, 國家自然基金項目(2011 – 2013)

國際合作

  “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).

  “作物分子遺傳和育種研究的新方法和集成工具”，科技部對歐盟科技合作專項經(jīng)費資助項目(2012- 2013)

部分遺傳學(xué)方面的發(fā)表論文

  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)

部分育種方面的發(fā)表論文

  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.