Shaobang Zeng

Statistics, Horticultural Science

Shaobang Zeng is a Professor at the Departments of Statistics, Horticultural Science and Operations Research.

Research Interests

Zeng’s research interest is generally in the area of theoretical and statistical quantitative genetics. This includes research on developing theoretical models and statistical methods to map quantitative trait loci (QTL) and to estimate basic genetic parameters of quantitative trait variation, such as number, genomic positions, effects, interaction, and pleiotropy of genes responsible for the variation. Currently, this research is mostly concentrated on developing statistical methods for analyzing genetic architecture of quantitative traits as a whole using multiple interval mapping approach. Research topics include efficient and robust model selection, analysis for complex epistasis, multiple trait analysis, complex QTL by environment interaction analysis, mixed and mixture models, general plant breeding population QTL analysis, full-sib family analysis, linkage disequilibrium mapping. Zeng also develops software (QTL Cartographer) for QTL mapping data analysis. The long-term goal of the research is to develop quantitative genetic theories and statistical methods for characterizing and analyzing variation of quantitative traits and to learn genetic and evolutionary bases of the variation within and between natural and experimental populations.


Ph.D.Doctor of Philosophy in GeneticsUniversity of Edinburgh, Edinburgh, Scotland, UK1986
B.Sc.A.S.Bachelor of Science in Animal ScienceHuazhong Agricultural University, Wuhan, China1981


Shaobang Zeng