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The group with the highest commonality [correlation × log (number of common markers)] was identified, and if the correlation was larger than 0.5, all markers were joined to the consensus map by linear interpolation.
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Then, means of genotypes by year-location combination were joined with the molecular marker data to perform GP-CV, in which genetic values were regressed on markers and validation of the model was done using k-fold CV.
Linkage groups from individual families were joined if they shared two or more markers.
Consecutive 100-kb intervals that lacked a recombination event within the population were joined into bins and the bins used as markers.
This resulted in two maps that were joined in a single population consensus map using the SNP markers in common to facilitate consensus map construction.
The assembled scaffolds were joined based on conserved linkage and assigned to polytene chromosomes based on a handful of genetic and physical markers.
Twenty-two markers could not be joined to any of the major linkage groups at a LOD ≥ 5.0 and were, therefore, discarded.
These could either be homeologous linkage groups or linkage groups that did not have enough markers recombining together to be joined.
Some linkage groups in this study (LG7-LG8, LG11-LG15 and LG12-LG13) could be joined together based on the linked markers in Le Guen et al. The common and collinear markers indicated the reliability between different maps.
Along the route, Julson was joined by a different family member at each mile marker, and finished the race in just under eight hours.
We are joined together.
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