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Table 2 QTL detected for pericarp thickness in the BC4F3 population

From: QTL mapping and transcriptome analysis identify candidate genes regulating pericarp thickness in sweet corn

TraitQTL nameChraCI (bp)bQTL region (cM)LODcADDdR2(%)e
2014FSqPT1–11289,632,655–291,951,018292.01–296.982.7612.376.76
qPT1–21294,334,812–295,560,828273.97–274.012.273.023.36
qPT10–11073,141,877–74,489,4140–5.392.7213.026.72
qPT10–21051,051,991–53,058,99734.48–35.562.2212.976.64
qPT10–31049,740,097–50,781,64489.26–89.322.1612.966.69
qPT10–41031,389,610–33,625,026105.62–105.732.112.956.65
qPT10–510144,631,242–145,532,401233.54–233.573.2714.007.78
2015FSqPT5514,148,610–18,559,96339.86–42.012.2614.667.62
qPT66117,425,264204.242.9216.699.88
qPT10–510144,631,242–145,532,401233.54–233.574.1215.748.82
2016FSqPT7767,564,733–69,008,076231.99–232.042.2114.627.92
qPT10–510144,631,242–145,532,401233.54–233.577.1322.6113.84
Average FSqPT1–31295,869,898286.162.292.423.22
qPT10–510144,631,242–145,532,401233.54–233.574.3430.4035.38
  1. aChr chromosome
  2. bThe physical position corresponding to the 95% confidence interval for the detected QTL
  3. cLOD the logarithm of odds score
  4. dPositive and negative values indicated additive effects by the alleles of M03 and M08, respectively
  5. eR2 the phenotypic variance explained by an individual QTL