After scoring each marker, the genotype data were chi-square (χ2) tested for goodness-of-fit to evaluate whether the segregation ratio for each marker fit the Mendelian ratios, e.g., 1:3 for dominant and 1:2:1 for codominant. Markers fitting the Mendelian ratios were used for linkage analysis with either the respective rust or DM phenotype data by using JoinMap 4.1 software, in which a regression mapping algorithm and Kosambi’s mapping function were selected [87 ]. The cutoffs for the linkage analysis among markers were set at a likelihood of odds (LOD) ≥ 3.0 and maximum genetic distance ≤ 50 centimorgans (cM).
Molecular Marker Development and Mapping
After scoring each marker, the genotype data were chi-square (χ2) tested for goodness-of-fit to evaluate whether the segregation ratio for each marker fit the Mendelian ratios, e.g., 1:3 for dominant and 1:2:1 for codominant. Markers fitting the Mendelian ratios were used for linkage analysis with either the respective rust or DM phenotype data by using JoinMap 4.1 software, in which a regression mapping algorithm and Kosambi’s mapping function were selected [87 ]. The cutoffs for the linkage analysis among markers were set at a likelihood of odds (LOD) ≥ 3.0 and maximum genetic distance ≤ 50 centimorgans (cM).
Corresponding Organization : Edward T. Schafer Agricultural Research Center
Other organizations : North Dakota State University, Beltsville Agricultural Research Center
Variable analysis
- PCR-based length polymorphic SNP primers designed using Primer 3-based Primer-BLAST suite embedded within the NCBI website
- Segregation ratios for each SNP marker (1:3 for dominant and 1:2:1 for codominant)
- Linkage between SNP markers and rust or DM phenotype data
- Mendelian ratios (1:3 for dominant and 1:2:1 for codominant) used as control for segregation ratios
- Likelihood of odds (LOD) ≥ 3.0 and maximum genetic distance ≤ 50 centimorgans (cM) used as controls for linkage analysis
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