Multiple-interval mapping (MIM) analyzes multiple marker intervals simultaneously to fit multiple putative QTLs.
MIM uses multiple marker intervals concurrently to fit several potential QTL in the model, thereby increasing power and precision (Kao et al. 1999).
Among all available mapping methods, the multiple-QTL approach is particularly suitable for complex trait analysis since it uses simultaneously multiple marker intervals with possible inclusion of epistasis terms in QTL mapping model [ 23].
These results suggest the presence of one QTL with pleiotropic effects on multiple traits or multiple QTL within the marker interval.
When multiple marker loci that were mapped within a 5 cM interval were associated with a trait, they were considered as a single QTL.
The average marker interval was 5.8 cM.
Average marker interval was 10.6 cM.
This was done because the genotyped marker in one marker interval became the ungenotyped marker in the next marker interval.
In the next marker interval, this middle ungenotyped marker became the flanking marker of the interval with the adjacent marker being the ungenotyped marker.
The average marker interval in this map is 1.63 cM.
