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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.