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Table 4 QTL detected for chalkiness traits in population ZS97/NYZ

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

Traita Chrb Interval QTL Hainan Wuhan
LOD Addc % Vard LOD Addc % Vard
CR         
  2 RM183-RM526 qCR2-N- 3.5 -3.33 6.8    
  6 RM527- MRG2498 qCR6-1N- 5.6 -3.65 8.1 5.0 -3.91 13.4
CA         
  1 RM488-RM246 qCA1-N-     3.6 -3.58 4.6
  3 RM545-RM517 qCA3-1N-     5.6 -5.09 9.2
  3 RM468-RM570 qCA3-2N-     2.6 -2.95 3.1
  6 RM190-RM587 qCA6-1N- 1.9 -2.79 3.9    
  6 RM585-RM557 qCA6-2N-     6.9 -4.52 7.3
  6 MRG2498-RM454 qCA6-3N- 3.4 -3.77 7.1    
  9 RM296-RM321 qCA7-N-     4.8 -4.12 6.0
  11 RM332-RM167 qCA8-N-     9.1 -5.36 10.2
WCR         
  6 MRG2498-RM454 qWCR6-N- 2.9 -10.35 6.7    
WBR         
  1 RM490-RM600 qWBR1-N+ 3.3 12.61 9.2    
  8 RM264-RM477 qWBR8-N+ 3.0 11.05 7.1 5.0 12.32 9.4
  12 RM101-RM519 qWBR12-N+ 3.6 14.55 12.3 3.3 12.40 9.6
  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 effects caused by QTL; the positive value indicates that the Zhenshan 97 allele increase the trait score, while the negative value indicates that the Zhenshan 97 allele decrease the trait score.
  4. dThe phenotypic variation explained by QTL.