由浙江大学副校长朱军教授和英国利兹大学John Findlay教授联合发起的中英系统生物学学术会议（China-UK Systems Biology Workshop）在国家自然科学基金委的资助下，在浙江大学和英国利兹大学的组织和各位与会代表的倾力合作下于2005年6月19日胜利召开，并于2005年6月24日圆满结束。本次大会也是2005年在上海启动的“中英科学年”的活动内容之一。
A genetic model was proposed for simultaneously analyzing genetic effects of nuclear, cytoplasm, and nuclear-cytoplasmic interaction （NCI） as well as their genotype by environment （GE） interaction for quantitative traits of diploid plants. In the model, the NCI effects were further partitioned into additive and dominance nuclear-cytoplasmic interaction components. Mixed linear model approaches were used for statistical analysis. On the basis of diallel cross designs, Monte Carlo simulations showed that the genetic model was robust for estimating variance components under several situations without specific effects. Random genetic effects were predicted by an adjusted unbiased prediction （AUP） method. Data on four quantitative traits （boll number, lint percentage, fiber length, and micronaire） in Upland cotton （Gossypium hirsutum L.） were analyzed as a worked example to show the effectiveness of the model.
