An efficient hierarchical generalized linear mixed model for mapping QTL of ordinal traits in crop cultivars.

ABSTRACT: Many important phenotypic traits in plants are ordinal. However, relatively little is known about the methodologies for ordinal trait association studies. In this study, we proposed a hierarchical generalized linear mixed model for mapping quantitative trait locus (QTL) of ordinal traits in crop cultivars. In this model, all the main-effect QTL and QTL-by-environment interaction were treated as random, while population mean, environmental effect and population structure were fixed. In the estimation of parameters, the pseudo data normal approximation of likelihood function and empirical Bayes approach were adopted. A series of Monte Carlo simulation experiments were performed to confirm the reliability of new method. The result showed that new method works well with satisfactory statistica

SUBMITTER: Feng JY 

PROVIDER: S-EPMC3614919 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature