Table 1 QTLs identified for weed competitive ability traits in BC1F2:3 mapping population derived from IR64*1/O. glaberrima.

From: Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

Sl. No

Trait

Chr

QTL Name

Marker Interval

Position (cM)

LOD

PVE (%)

Additive effect

Co-localizations with previous QTLs/genes

1

SH15

12

qSH15-12.1

SSR12-7.4- SSR12-4.8

110.30

2.67

23.81

0.87

qCTS1264

2

SH30

2

qSH30-2.1

RM12434-RM12749

54.20

3.82

6.92

− 0.35

qPH265, qSV2a38

3

7

qSH30-7.1

RM20866-RM21749

0.00

3.65

12.26

− 1.22

qLTG766, qSL767, qSH12-7.131, qSV7a38

4

12

qSH30-12.1

RM19-RM27879

12.00

2.57

14.65

− 0.56

qCTS1264, qLT1280

5

SH45

3

qSH45-3.1

RM14735-RM3029

6.00

3.63

6.35

− 4.24

qTAA3-125, RZ313, RG36969, qSHL3.124, qSV3b38

6

NL30

5

qNL30-5.1

RM17816-RM17900

16.00

2.63

9.72

− 1.09

–

7

5

qNL30-5.2

RM17900-RM8039

32.20

2.65

25.18

− 1.25

RM1336

8

NL45

10

qNL45-10.1

RM25796-RM467

24.10

6.55

17.32

− 0.27

Phyllocron79

9

NT30

5

qNT30-5.1

RM17816-RM17900

16.00

2.84

8.38

− 1.72

–

10

5

qNT30-5.2

RM17900-RM8039

34.20

4.74

39.02

− 0.18

qSV5b38

11

9

qNT30-9.1

RM23901-RM566

10.00

4.06

44.20

0.20

qSV9c38

12

NT45

5

qNT45-5.1

RM18182-RM5592

51.70

3.24

10.47

− 0.63

nt5.178

13

5

qNT45-5.2

RM5592-RM18156

61.40

3.46

11.40

− 1.19

–

14

10

qNT45-10.1

RM25796-RM467

24.10

7.35

17.91

− 0.08

qSV10b38

15

LA15

2

qLA15-2.1

RM12434-RM12749

62.20

3.98

6.52

− 0.58

qLER-271

16

7

qLA15-7.1

RM21749-RM22131

20.90

3.86

10.63

− 0.16

QRI768

17

7

qLA15-7.2

RM21992-RM5847

28.30

3.38

9.34

− 0.04

QRI768

18

LA30

9

qLA30-9.1

RM23901-RM566

10.00

2.54

36.54

0.51

qLA-931

19

LA45

9

qLA45-9.1

RM23901-RM566

14.00

2.83

38.89

− 28.08

qLA-931

20

SFW30

4

qSFW30-4.1

RM17377-RM3524

44.70

6.57

29.26

− 0.08

qCTS4-338

21

6

qSFW30-6.1

RM19819-RM19660

49.00

3.74

14.18

− 0.09

qRS6-125, qSFWd670

22

SFW45

2

qSFW45-2.1

RM12434-RM12749

54.20

2.68

4.82

− 0.02

–

23

5

qSFW45-5.1

RM18182-RM5592

51.70

2.57

10.84

− 0.59

qLTG563

24

SDW15

2

qSDW15-2.1

RM13962-RM1385

163.10

38.86

57.63

0.00

qCSH2 and qSDW274, qSV2c38

25

11

qSDW15-11.1

RM26558-SSR11.21.1

75.20

2.93

11.96

0.00

qSV11b38

26

SDW30

2

qSDW30-2.1

RM13155-RM13962

130.80

3.62

12.12

0.02

qCSH2 and qSDW274, qSDWT2.133, RM34136, qSV2c38

27

9

qSDW30-9.1

RM23901-RM566

6.00

5.54

31.85

− 0.01

qSDW977, rdq976, SUB175, qSV9c38

28

SDW45

7

qSDW45-7.1

RM20866-RM21749

16.00

2.90

27.81

− 0.06

qTN780

29

9

qSDW45-9.1

RM23901-RM566

14.00

3.54

47.72

− 0.23

qSV9c38

30

AGR15

12

qAGR15-12.1

SSR12.7.4- SSR12.4.8

110.30

2.74

24.62

0.06

–

31

AGR30

2

qAGR30-2.1

RM12434-RM12749

54.20

3.11

5.77

− 0.01

–

32

AGR45

3

qAGR45-3.1

RM14735-RM3029

4.00

3.38

5.21

− 0.27

–

33

SLA15

2

qSLA15-2.1

RM13155-RM13962

138.80

5.40

42.71

20.19

–

34

5

qSLA15-5.1

RM17900-RM8039

38.20

5.40

10.47

32.68

–

35

5

qSLA15-5.2

RM18182-RM5592

51.70

5.66

8.04

− 193.33

–

36

5

qSLA15-5.3

RM5592-RM18156

61.40

5.97

4.91

− 198.11

–

37

6

qSLA15-6.1

RM19569-RM20181

17.80

7.31

13.24

− 172.93

–

38

7

qSLA15-7.1

RM20866-RM21749

18.00

6.33

42.79

85.66

–

39

9

qSLA15-9.1

RM23901-RM566

14.00

4.42

45.27

12.16

–

40

10

qSLA15-10.1

RM25796-RM467

26.10

7.17

33.82

− 4.30

–

41

SLA30

8

qSLA30-8.1

RM38-RM22585

68.10

2.71

3.38

66.32

–

42

SLA45

2

qSLA45-2.1

RM13155-RM13962

136.80

14.10

38.73

− 44.01

–

43

2

qSLA45-2.2

RM13962-RM1385

151.10

13.34

36.90

− 35.24

–

44

2

qSLA45-2.3

RM1385-RM13761

205.40

15.96

11.13

− 162.16

–

45

12

qSLA45-12.1

RM27879-RM28067

41.40

16.02

42.42

− 36.61

–

46

12

qSLA45-12.2

RM28067-RM28157

51.80

20.05

58.99

− 40.00

–

47

LAI15

7

qLAI15-7.1

RM21749-RM22131

20.90

4.69

13.32

0.00

–

48

7

qLAI15-7.2

RM21992-RM5847

28.30

4.11

11.77

0.00

–

49

LAI30

9

qLAI30-9.1

RM23901-RM566

8.00

2.53

34.40

0.02

–

50

LAI45

9

qLAI45-9.1

RM23901-RM566

14.00

2.83

38.90

− 0.84

–

51

LAR15

2

qLAR15-2.1

RM13962-RM1385

149.10

7.84

19.60

− 30.07

–

52

3

qLAR15-3.1

RM14391-RM15679

57.80

6.68

28.49

− 6.16

–

53

5

qLAR15-5.1

RM17900-RM8039

38.20

11.48

17.39

26.38

–

54

5

qLAR15-5.2

RM8039-RM18182

43.40

6.71

19.00

− 9.58

–

55

6

qLAR15-6.1

RM19569-RM20181

21.80

12.33

52.01

− 27.54

–

56

8

qLAR15-8.1

RM433-RM22622

51.10

4.57

13.08

− 8.88

–

57

8

qLAR15-8.2

RM38-RM22585

66.10

10.89

39.33

− 12.73

–

58

9

qLAR15-9.1

RM23901-RM566

8.00

14.05

53.29

0.64

–

59

10

qLAR15-10.1

RM25796-RM467

26.10

13.70

55.08

− 1.39

–

60

11

qLAR15-11.1

SSR11-25.5-RM26352

38.00

6.53

19.59

− 37.66

–

61

LAR30

8

qLAR30-8.1

RM38-RM22585

66.10

5.39

29.13

21.38

–

62

9

qLAR30-9.1

RM23901-RM566

6.00

5.73

29.71

6.08

–

63

12

qLAR30-12.1

RM19-RM27879

24.00

6.49

15.27

43.83

–

64

LAR45

12

qLAR45-12.1

RM27879-RM28067

43.40

19.23

31.60

− 10.44

–

65

12

qLAR45-12.2

RM28067-RM28157

51.80

24.55

30.60

− 10.56

–

66

CGR15

11

qCGR15-11.1

RM26558-SSR11-21.1

75.20

5.23

18.26

− 0.03

–

67

CGR30

2

qCGR30-2.1

RM13155-RM13962

130.80

3.45

12.82

0.04

–

68

9

qCGR30-9.1

RM23901-RM566

6.00

5.26

31.34

− 0.02

–

69

CGR45

2

qCGR45-2.1

RM13962-RM1385

159.10

2.70

47.50

− 0.08

–

70

5

qCGR45-5.1

RM17900-RM8039

36.20

3.44

36.27

0.54

–

71

9

qCGR45-9.1

RM23901-RM566

14.00

3.66

43.80

− 0.24

–

72

RGR45

3

qRGR45-3.1

RM14735-RM3029

0.00

2.84

3.20

− 0.02

–

  1. PVE (%) Phenotypic variance explained.
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