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Table 2 QTL detected for chalkiness traits in population ZS97/H94

From: Comparative mapping of chalkiness components in rice using five populations across two environments

Traitsa Chrb Interval QTL Hainan Wuhan
LOD Addc % Vard LOD Addc % Vard
CR        
  5 RM574-MRG0089 qCR5-H+ 15.9 17.99 29.7 21 23.92 49.3
  6 RM435-RM170( wx ) qCR6-H+ 14.6 16.47 24.9 3 6.7 3.9
  12 MRG2483-RM20A qCR12-H+     2.7 6.56 3.7
CA        
  1 RM577-RM23 qCA1-H+     12.6 8.6 41.3
  6 RM170(wx)-RM589 qCA6-H+ 4.9 4.96 11.3    
  9 RM278-RM553 qCA9-H+ 8 6.98 22.4    
WCR        
  8 RM310-RM126 qWCR8-H-     5.3 -5.97 17.2
WBR        
  3 MRG2538-RM426 qWBR3-H- 2.3 -6.94 3.1    
  5 MRG0089-RM289 qWBR5-H+ 12.3 20.62 27 11.1 20.93 31.5
  8 RM210-RM483 qWBR8-H+ 11.5 17.71 19.9 5.2 14.49 15.1
WCA        
  8 RM483-RM339 qWCA8-H-     6 -6.43 10.9
  9 RM160-RM328 qWCA9-H+ 8.4 9.07 21.6    
WBA        
  5 MRG0089-RM289 qWBA5-H+     4.3 4.04 8.4
  6 RM589-MX21 (wx) qWBA6-H+ 4.7 5.9 16.9    
  12 RM20A-RM179 qWBA12-H+     9.8 6.68 22.9
  1. aCR, chalkiness rate; CA, chalkiness area; WCR, white core rate; WBR, white belly rate; WCA, white core area; WBA, white belly area.
  2. bChr, chromosome.
  3. cThe additive (Add) effects caused by QTL; the positive value indicates that the ZS97 allele increase the trait score, while the negative value indicates that the ZS97 allele decrease the trait score.
  4. dThe phenotypic variation (Var) explained by QTL.