Table 3 Final correlation rates of the selected marker sets on the test sets.

From: GMStool: GWAS-based marker selection tool for genomic prediction from genomic data

Data

Phenotype

Method

Selected markers

RRB (train/val./test)

RF (train/val./test)

DNN (train/val./test)

CNN (train/val./test)

Rice

DTF

RRB

746

0.997/0.870/0.380

0.976/0.845/0.529

0.932/0.912/0.334

0.948/0.895/0.469

BTS

120

0.849/0.710/0.398

0.969/0.869/0.454

0.920/0.759/0.407

0.902/0.748/0.501

RRB and BTS

817

0.996/0.854/0.394

0.977/0.847/0.508

0.977/0.895/0.388

0.942/0.840/0.424

PC

RRB

805

0.998/0.831/0.509

0.974/0.742/0.520

0.873/0.811/0.450

0.917/0.833/0.480

BTS

114

0.879/0.746/0.457

0.971/0.767/0.528

0.826/0.769/0.408

0.868/0.801/0.506

RRB and BTS

873

0.998/0.845/0.504

0.975/0.745/0.535

0.907/0.802/0.423

0.937/0.854/0.547

PH

RRB

620

0.992/0.924/0.579

0.981/0.915/0.654

0.977/0.932/0.630

0.956/0.909/0.615

BTS

115

0.937/0.862/0.607

0.979/0.918/0.668

0.973/0.930/0.588

0.958/0.925/0.524

RRB and BTS

675

0.992/0.923/0.599

0.981/0.918/0.653

0.922/0.905/0.679

0.943/0.903/0.672

SOY

DTF

RRB

2126

0.989/0.936/0.742

0.914/0.897/0.772

0.965/0.928/0.735

0.980/0.838/0.792

BTS

224

0.853/0.821/0.774

0.816/0.820/0.775

0.855/0.839/0.774

0.973/0.823/0.772

RRB and BTS

2256

0.989/0.935/0.743

0.922/0.907/0.750

0.967/0.923/0.741

0.980/0.837/0.794

  1. Highest correlation rates in each phenotype are shown in bold.