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Table 3 QTL detected for chalkiness traits in population ZS97/DL208

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

Traita Chrb Interval QTL Hainan Wuhan Wuhane
LOD Addc % Vard LOD Addc % Vard LOD Addc % Vard
CR            
  5 MRG5972-RM480 qCR5-D+ 3.2 11.07 16.3       
  9 RM159-RM524 qCR9-D- 2.9 -13.49 24.2       
CA           
  6 RM276-RM549 qCA6-D+ 3.1 3.68 11.6       
WCR            
  1 MRG5464-MRG2148 qWCR1-D-     3.8 -6.67 11.8 2.6 -5.65 9.2
  3 RM203-RM422 qWCR3-D-     4.1 -6.46 11.1 2.7 -6.78 13.3
  6 MX21-RM585 qWCR6-D- 2.7 -19.08 99.2       
  7 RM445-RM418 qWCR7-D+     5.3 7.25 14.0 5.8 8.30 19.9
  12 RM235-RM17 qWCR12-D-        2.2 -5.35 8.3
WBR            
  9 RM159-RM524 qWBR9-D- 4.5 -6.72 36.4       
WCA            
  7 RM478-MRG4499 qWCA7-D+     2.7 4.49 15.4 2.0 4.84 19.0
WBA            
  3 RM251-RM282 qWBA3-D- 7.4 -3.08 29.6       
  5 RM39-RM164 qWBA5-D+ 3.4 1.81 10.2       
  8 RM433-RM447 qWBA8-D+ 4.9 2.44 18.5       
  11 RM286-RM20B qWBA11-D+     2.2 3.48 12.6    
  12 RM235-RM17 qWBA12-D+ 2.7 1.49 6.9       
  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 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.
  5. eRepeat of the previous year’s results in Wuhan.