Based on our RH maps, we estimate the resolution of the IMpRH panel at 8.6 Kb/cR and of the IMNpRH2 panel at 5.3 Kb/cR, whereas previous estimates were respectively 35.4 Kb/cR and 12.5 Kb/cR [ 13].
By incorporating the Runge Kutta fourth order algorithm within the likelihood-based context of functional mapping, we estimated the genetic parameters that define the periodic pattern of QTL effects on time-varying mRNA and protein abundances and their dynamic association as well as the linkage disequilibrium of the QTL and a marker.
Since this is a single-marker regression QTL mapping, we estimated the physical interval size of a QTL based on most of the original drought QTLs to be around a 1-MB region.
Using the data from our high-density linkage map, we estimated an average number of 1.8 chiasmata per chromosome per meiosis for Nasonia.
From the mapping coordinates retrieved from the NCBI STS map we estimated the deletion to have an extent of approximately 9.2 to 14.4 Mbp (7p13 14.3).
Before genome-wide association mapping, we estimated line means for each nutritional index using abundance of metabolite per mg of fly.
Based on coverage of these intervals in the version 4.7 IMF map, we estimated the current genome coverage by the integrated map in bighorn sheep to correspond to ~ 84% of the domestic sheep linkage map.
To understand the impact of transposable elements on GBS tag mapping, we estimated the mean frequency of PA markers that perfectly match the chromosome 3B contigs and map genetically either to chromosome 3B or other chromosomes.
With the sex-averaged linkage map, the genetic size of 3,505.4 cM and the physical size of 965,279 kb based on the physical map, we estimated the average genetic size as 3.6 cM per Mb.
For the QTL mapping, we estimated the least-squares means of each plant trait using a mixed-model ANOVA (PROC MIXED, SAS v.9.2), which included block, plant set, and line as fixed effects.
