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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.