title: Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations.
abstract: Identification of environment-specific QTL and stable QTL having consistent genetic effects across a wide range of environments is of great importance in plant breeding. Inclusive Composite Interval Mapping (ICIM) has been proposed for additive, dominant and epistatic QTL mapping in biparental populations for single environment. In this study, ICIM was extended to QTL by environment interaction (QEI) mapping for multi-environmental trials, where the QTL average effect and QEI effects could be properly estimated. Stepwise regression was firstly applied in each environment to identify the most significant marker variables which were then used to adjust the phenotypic values. One-dimensional scanning was then conducted on the adjusted phenotypic values across the environments in order to detect QTL with either average effect or QEI effects, or both average effect and QEI effects. In this way, the genetic background could be well controlled while the conventional interval mapping was applied. An empirical method to determine the threshold of logarithm of odds was developed, and the efficiency of the ICIM QEI mapping was demonstrated in simulated populations under different genetic models. One actual recombinant inbred line population was used to compare mapping results between QEI mapping and single-environment analysis.
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, China.
authors.forename: Shanshan
authors.initials: S
authors.lastname: Li
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, China.
authors.forename: Jiankang
authors.initials: J
authors.lastname: Wang
authors.affiliation: The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, and CIMMYT China Office, Chinese Academy of Agricultural Sciences, Beijing, China.
authors.forename: Luyan
authors.initials: L
authors.lastname: Zhang
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D032461:Chromosomes, Plant / Q000235:genetics; D003198:Computer Simulation; D059647:Gene-Environment Interaction; D008040:Genetic Linkage; D005838:Genotype; D007178:Inbreeding; D008126:Lod Score; D008957:Models, Genetic; D040641:Quantitative Trait Loci / Q000235:genetics*; D003313:Zea mays / Q000235:genetics*