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The interval mapping and composite interval mapping-based classical QTL analysis identified and mapped one major genomic region [CaSNP7 (3.7 cM) to CaSNP12 (5.5 cM ] harbouring a significant robust (LOD: 19.7) SW QTL (CaqSW1.1) (covered by seven SNP and SSR markers) on chickpea chromosome 1 (Fig. 3C).
For QTL detection, the following different methods were compared: single-marker regression; simple interval mapping; and composite interval mapping.
Whole genome mapping and composite interval analyses also revealed secondary QTLs influencing cell proliferation in the RMS.
The single marker analysis, interval mapping and composite interval mapping functions of window QTL cartographer WinQTLCart v2.5 and MapQTL 6 with LOD >4.0 at 1,000 permutations were considered significant (5% significance level) to identify and map the novel genomic regions harbouring the QTLs associated with traits under study in chickpea.
The target 1.7-cM QTL region (73.5 75.2 cM) identified for seed weight based on both interval mapping and composite interval mapping spanned with three TFFDMS and one TFGMS markers, thus having high seed weight trait-specific association potential in desi and kabuli based on genetic association mapping.
The single marker analysis, interval mapping and composite interval mapping function of MapQTL 6 with an LOD threshold score of >3.0 at 1000 permutations were significantly considered (5% level of significance) to identify and to map the major TF genes/QTLs for 100-seed weight/size on the chickpea LGs.
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Generally the LOD scores associated with the rp1 QTL were well above the thresholds determined by permutation analysis using both interval mapping and composite-interval mapping.
Results from interval mapping and composite-interval mapping did not indicate the presence of QTL around the positions indicated by these MIM results.
This logarithm of odd, estimated with both interval mapping and composite-interval mapping is still significantly lower than that of the rp1 QTL on chromosome 2R.
Different methods were compared such as Single-marker regression (SMR), Simple interval mapping (SIM), and Composite interval mapping (CIM).
QTL analysis was performed using QTL Cartographer v2.5 (Wang et al. 2010) with 1,000 permutations in both interval mapping (IM) and composite interval mapping (CIM) methods to determine the threshold at P ≤ 0.05 and P ≤ 0.01 to declare the significance of QTLs.
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