New Methods for QTL Mapping and Gene Searching
Most important agronomic traits of crops, such as crop yield and quality, are complex traits affected by multiple genes with gene×gene interaction as well as gene×environment interaction. Conventionally, the genetic properties of traits can be revealed by partitioning the total variation into component variation due to specific genetic effects. With recent advances in molecular genotyping and high-throughput technology, great opportunity is provided for detecting genetic architecture of complex traits by analyzing quantitative trait locus (QTL). Improvement of complex traits can also be achieved by pyramiding of individual QTLs. We have developed some statistical methods of QTL mapping which can analyze the QTL×QTL interaction (QQ) as well as QTL×enviroment interaction (QE), and their applications in crop breeding for complex traits.
Jun Zhu
Institute of Bioinformatics, Zhejiang University
国际会议
杭州
英文
145-146
2010-10-01（万方平台首次上网日期，不代表论文的发表时间）