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Markers with zero recombination were considered to be one genetic bin.
The proportion of markers with zero effect is estimated from the data in the Bayes-C-π method.
BL models shrink markers with zero effect more than those with large effects, leading to variable selection when making predictions.
Markers with zero recombination among them were considered to belong to the same genetic bin (e.g., Supporting Information, Figure S1).
For building a skeleton map, we selected error-free markers based on the presence of "twins" (i.e., markers with zero distance) in the dataset.
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In this context, we have also investigated the potential of using two probes, targeting two independent and validated tumour markers with two distinct fluorophores, to facilitate tumour characterization and observation of different areas of the tumour.
Combining these three new markers with six existing markers, we examined levels of genetic diversity and population structure of C. maenas in two coastal regions from Northern and Central Portugal.
Their networks typically consisted of four input nodes, representing four markers, with two hidden layers incorporating up to three hidden nodes each.
Nine loci provided markers with two alleles.
A single bi-allelic QTL and six equally spaced markers with six alleles each were simulated.
Candidate gene-based association analysis revealed strong genetic association of TFFDMS markers with three major seed and pod traits.
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