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Table 3 Stable QTL for plant height, spike length and spike compactness in the PG-RIL population

From: Identification and validation of plant height, spike length and spike compactness loci in common wheat (Triticum aestivum L.)

Trait

QTL

Env

Markers Interval

Genetic Interval (cM)

PVE%

Add

References

PH

QPh.cas-1A.1

E1

AX-109816727

–AX-109832643

2.932–5.047

6.730

-3.482

 

E2

3.732

-2.609

 

E3

10.230

-3.632

 

E4

8.697

-3.947

 

BLUP

7.981

-2.945

 

QPh.cas-5A.3

E2

AX-109936570

–AX-110418750

83.758–85.001

17.901

3.652

 

E3

9.665

2.295

 

BLUP

8.381

1.934

 

QPh.cas-5A.4

E1

AX-109514581

–AX-111518796

167.560–169.057

4.307

1.851

 

E2

3.656

1.629

 

E3

3.597

1.381

 

BLUP

4.596

1.413

 

QPh.cas-6A

E1

AX-108766577

–AX-111257815

63.966–65.160

9.977

2.814

 

E3

11.401

2.463

 

E4

17.037

3.439

 

BLUP

13.248

2.397

 

QPh.cas-7D

E1

AX-109320176

–AX-111547071

118.725–119.787

7.262

2.402

[5]

E3

9.459

2.238

 

E4

9.721

2.600

 

BLUP

8.421

1.912

 

SL

QSl.cas-2B.2

E1

AX-110929441

–AX-110103130

134.726–147.365

7.054

0.394

[32]

E2

3.590

0.213

 

E3

2.989

0.273

 

E4

7.250

0.323

 

BLUP

4.134

0.222

 

QSl.cas-2D.2

E1

AX-110462142

–AX-110168677

122.055–132.439

3.786

-0.292

[33]

E2

7.479

-0.310

E3

27.288

-0.830

E4

5.516

-0.284

BLUP

10.051

-0.351

 

QSl.cas-4A.1

E1

AX-109449795

–AX-111102921

0.421–2.028

3.603

-0.282

 

E3

1.237

-0.176

 

BLUP

5.141

-0.248

 

QSl.cas-6B.2

E1

AX-108874447

–AX-108763535

112.768–121.387

5.577

0.351

[6, 34]

E2

22.939

0.543

E3

13.152

0.576

E4

25.676

0.613

BLUP

18.651

0.476

 

QSl.cas-6D.2

E2

AX-111480830

–AX-111463829

76.375–82.772

5.455

-0.270

 

E4

5.015

-0.276

 

QSl.cas-6D.3

E1

AX-111694627

–AX-109997558

89.948–93.275

3.488

-0.288

 

E3

4.364

-0.343

 

SCN

QScn.cas-2B.2

E1

AX-110929441

–AX-110103130

134.726–147.365

11.396

-0.102

 

E3

5.893

-0.068

 

E4

6.972

-0.076

 

BLUP

3.913

-0.050

 

QScn.cas-3D.1

E3

AX-111064903

–AX-108788717

58.995–64.259

5.474

0.066

 

E4

4.505

0.061

 

BLUP

5.7222

0.061

 

QScn.cas-3D.2

E1

AX-110834607

–AX-89337262

82.759–92.192

9.8091

0.094

[35]

E3

4.3772

0.059

 

E4

5.2069

0.066

 

BLUP

4.0048

0.051

 

QScn.cas-4D.1

E1

AX-109408826

–AX-108728919

77.985–82.964

5.080

0.068

[32, 36]

E3

3.605

0.053

 

QScn.cas-5D

E3

AX-111555981

–AX-111262507

130.600–136.499

2.6319

0.046

[32]

E4

5.7563

0.069

 

BLUP

5.0313

0.057

 

QScn.cas-6A.1

E3

AX-111504079

–AX-109355289

50.353–54.925

4.656

-0.062

[32]

E4

3.5724

-0.056

 

QScn.cas-6A.2

E1

AX-108835689

–AX-111257815

62.873–65.160

6.1232

-0.075

 

E2

6.9682

-0.072

 

QScn.cas-6B

E1

AX-111236313

–AX-108763535

118.069–121.387

11.427

-0.101

 

E2

20.0194

-0.123

 

E3

21.9433

-0.133

 

E4

20.8836

-0.134

 

BLUP

24.213

-0.126

 

QScn.cas-6D.2

E2

AX-111694627

–AX-109997558

89.948–93.275

8.227

0.081

[37]

E3

9.2452

0.089

 

E4

11.5314

0.103

 

BLUP

6.1995

0.066

 

QScn.cas-7A

E1

AX-108786753

–AX-108792313

98.942–101.378

6.5443

-0.077

 

E2

7.4825

-0.075

 

E3

3.4924

-0.053

 

BLUP

3.8594

-0.050

 
  1. Env Environments, BLUP Best linear unbiased predictors, PVE Phenotypic variance explained, Add Additive effect