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Table 4 Effects of different models, validation methods, and SNPs datasets on the prediction accuracy of GEBV

From: Genetic dissection and genomic prediction for pork cuts and carcass morphology traits in pig

Genotype data

CC1 chip genotyping data

CC1 chip genotyping data

CC1 chip genotyping data

Genotype imputation data

Models

GBLUP

BSLMM

GBLUP

GBLUP

Validation methods

Fivefold cross-validation

Fivefold cross-validation

Leave-one-out

Leave-one-out

Samples

2,012

2,012

2,012

2,012

Pork cuts weight

 Shoulder cut

0.486

0.570

0.541

0.455

 Middle cut

0.519

0.513

0.535

0.556

 Leg cut

0.530

0.548

0.567

0.541

 Boneless boston shoulder

0.408

0.406

0.508

0.576

 Boneless picnic shoulder

0.547

0.640

0.597

0.481

 Front ribs

0.395

0.586

0.487

0.356

 Fore leg bones

0.502

0.512

0.508

0.522

 Scapula bones

0.554

0.579

0.576

0.609

 Loin

0.521

0.513

0.553

0.585

 Belly

0.525

0.519

0.553

0.556

 Ribs

0.565

0.664

0.568

0.461

 Chine bones

0.450

0.487

0.452

0.467

 Back fat

0.546

0.547

0.565

0.590

 Boneless leg

0.558

0.586

0.583

0.560

 Tenderloin

0.514

0.603

0.590

0.538

 Hind leg bones

0.507

0.635

0.569

0.442

 Tail and pelvis bone

0.346

0.342

0.373

0.402

Pork cuts proportion

 Shoulder cut

0.335

0.562

0.418

0.314

 Middle cut

0.521

0.610

0.523

0.456

Leg cut

0.559

0.560

0.567

0.546

 Boneless boston shoulder

0.496

0.517

0.569

0.571

 Boneless picnic shoulder

0.548

0.665

0.604

0.496

 Front ribs

0.321

0.498

0.426

0.369

 Fore leg bones

0.512

0.562

0.571

0.531

 Scapula bones

0.586

0.656

0.635

0.589

 Loin

0.502

0.509

0.567

0.543

 Belly

0.501

0.489

0.534

0.540

 Ribs

0.573

0.693

0.573

0.505

 Chine bones

0.462

0.596

0.459

0.314

 Back fat

0.536

0.559

0.558

0.547

 Boneless leg

0.585

0.583

0.603

0.585

 Tenderloin

0.516

0.586

0.563

0.526

 Hind leg bones

0.559

0.561

0.564

0.573

 Tail and pelvis bone

0.372

0.438

0.403

0.309

Carcass morphology traits

 Half carcass weight

0.530

0.538

0.563

0.551

 Carcass weight

0.518

0.521

0.547

0.581

 Straight length

0.567

0.661

0.597

0.577

 Oblique length

0.540

0.652

0.590

0.528

 Thoracic length

0.579

0.749

0.595

0.502

 Lumbar length

0.395

0.510

0.445

0.476

 Thoracic number

0.549

0.882

0.594

0.484

 Lumbar number

0.353

0.373

0.335

0.331

 Single lumbar length

0.544

0.714

0.594

0.541

 Shoulder backfat depth

0.412

0.528

0.466

0.364

 6th_7th rib backfat depth

0.422

0.445

0.495

0.466

 Waist backfat depth

0.451

0.441

0.480

0.514

 Hip backfat depth

0.460

0.443

0.541

0.536

 Mean of backfat depth

0.486

0.504

0.558

0.552

  1. The data in the table are the accuracy of predicting GEBV for all traits