高效解析作物复杂性状（也称数量性状）具有重要应用价值的候选功能基因位点，分析多基因网络，探明基因间、基因与环境间的互作，对制定科学的性状选择策略，改良育种目标性状具有重要意义。目前作物数量性状QTL 定位方法只针对两个纯合亲本衍生的交配群体、单个性状的独立分析，功效低，解析率不高。课题在混合线性模型复合区间作图(MCIM)框架下，发展多群体/多性状的联合分析QTL 定位模型和分析方法，结合亲本及少量个体的高通量测序及作物基因组参考序列、基因注释、分子标记、表型、QTL、突变体等数据库，发展生物信息学分析方法，高效剖析QTL区段、构建候选基因全模型，筛选显著的候选功能基因，估算候选基因间及其与环境间的互作效应；研制配套的基因定位软件和候选基因生物信息学分析软件。课题研究成果对作物数量性状遗传结构剖析、功能基因高效筛选及育种应用具有重要的意义和实践应用价值。

It's very crucial for designing efficient selection program for improvement of breeding traits of crops to resolve genetic architecture of functional candidate genes, understand gene network and gene epistasis and interaction with environment. Currently, most methods of mapping QTL of quantitative traits in crops are only for design experiment mapping population from two diverse progenitors, as well as separate analysis for each trait, consequently, lower mapping power and resolution will be resulted. In the statistical framework of mixed linear model-based compositive interval mapping (MCIM), this research will develop new method of QTL mapping by integrated analysis of multiple mapping populations or mapping population deriving from multiple progenitors and multiple traits. Combination with next-generation sequencing data of parents of mapping population, reference sequence, gene annotation, molecular markers, phenotypes, QTL information and mutant database, bioinformatics method will be developed for finely dissection of QTL regions; significant candidate gene and their genetic effects and interaction effects with environment will be analyzed by model selection of full candidate gene model. Based on the proposed methods, corresponding software will be developed. Expected results of this research are very valuable for dissection of genetic architecture, identification of functional candidate genes and their breeding application in practice of genetic improvement of quantitative traits.