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Table 2 Genetic variability parameters of five cattle populations

From: Genetic diversity and relationship of cattle populations of East India: distinguishing lesser known cattle populations and established breeds based on STR markers

 

Bachaur

Gangatiri

Shahabadi

Purnea

Siri

Locus

No

Ne

Ho

He

No

Ne

Ho

He

No

Ne

Ho

He

No

Ne

Ho

He

No

Ne

Ho

He

BM1824

6

2.678

0.580

0.627

5

2.400

0.660

0.583

6

2.471

0.532

0.595

4

2.297

0.404

0.565

6

3.683

0.667

0.729

CSSM08

7

2.119

0.510

0.528

6

2.533

0.667

0.605

6

2.496

0.545

0.599

7

2.409

0.581

0.585

6

2.950

0.600

0.661

CSSM33

14

6.767

0.875

0.852

15

6.840

0.860

0.854

16

7.810

0.896

0.872

13

7.007

0.826

0.857

12

5.914

0.830

0.831

CSSM66

9

3.740

0.680

0.733

11

4.803

0.860

0.792

13

5.086

0.854

0.803

14

5.084

0.745

0.803

8

3.411

0.688

0.707

ETH10

9

4.655

0.880

0.785

11

5.025

0.900

0.801

6

4.064

0.814

0.754

4

2.673

0.891

0.626

14

7.266

0.894

0.862

ETH225

9

2.231

0.560

0.552

8

2.019

0.500

0.505

10

2.051

0.583

0.512

10

6.258

0.851

0.840

9

4.148

0.708

0.759

ETH3

8

3.541

0.980

0.718

9

3.671

0.860

0.728

14

6.508

0.958

0.846

7

3.899

0.979

0.744

8

3.796

0.979

0.737

HEL09

10

7.529

0.979

0.867

10

6.527

0.900

0.847

10

7.396

0.896

0.865

10

8.000

0.833

0.875

12

8.243

0.766

0.879

HEL5

11

4.361

0.714

0.771

10

5.219

0.857

0.808

13

6.585

1.000

0.848

10

3.901

0.844

0.744

10

6.853

0.756

0.854

ILSTS06

7

3.058

0.500

0.673

8

4.062

0.640

0.754

9

3.298

0.545

0.697

8

4.691

0.619

0.787

9

4.485

0.489

0.777

ILSTS11

5

2.288

0.469

0.563

5

2.600

0.500

0.615

5

3.150

0.558

0.683

4

1.928

0.422

0.481

5

4.212

0.638

0.763

ILSTS34

19

7.444

0.875

0.866

16

6.046

0.760

0.835

15

4.571

0.750

0.781

10

4.054

0.652

0.753

14

6.914

0.851

0.855

ILSTS33

8

3.460

0.714

0.711

7

2.350

0.548

0.575

9

4.150

0.727

0.759

6

2.864

0.531

0.651

8

4.295

0.733

0.767

INRA05

7

4.367

0.640

0.771

8

4.394

0.820

0.772

7

4.509

0.708

0.778

6

4.251

0.581

0.765

7

3.938

0.729

0.746

INRA35

12

5.723

0.755

0.825

8

4.570

0.667

0.781

17

10.301

0.860

0.903

6

3.081

0.621

0.675

8

4.054

0.844

0.753

INRA63

6

2.501

0.520

0.600

5

2.627

0.580

0.619

6

2.781

0.563

0.640

7

3.446

0.837

0.710

7

2.366

0.521

0.577

MM12

11

5.149

0.760

0.806

10

4.146

0.720

0.759

13

4.295

0.729

0.767

15

4.909

0.787

0.796

10

2.841

0.604

0.648

MM8

8

2.737

0.560

0.635

6

2.667

0.680

0.625

8

3.072

0.625

0.674

8

2.703

0.605

0.630

6

2.525

0.583

0.604

TGLA122

14

8.666

0.900

0.885

12

9.728

0.920

0.897

14

9.732

0.791

0.897

13

7.627

0.844

0.869

12

8.925

0.915

0.888

TGLA227

6

1.492

0.380

0.330

8

1.571

0.360

0.363

12

1.831

0.417

0.454

10

1.871

0.302

0.466

11

2.869

0.667

0.651

TGLA53

13

3.408

0.740

0.707

15

2.648

0.640

0.622

14

3.485

0.628

0.713

15

2.557

0.545

0.609

12

3.532

0.681

0.717

Mean

9.476

4.186

0.694

0.705

9.190

4.117

0.709

0.702

10.619

4.745

0.713

0.735

8.905

4.072

0.681

0.706

9.238

4.629

0.721

0.751

S. D.

0.752

0.440

0.038

0.030

0.716

0.436

0.034

0.030

0.824

0.532

0.035

0.027

0.771

0.402

0.040

0.027

0.589

0.421

0.028

0.020