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Table 3 Model comparisons between the proposed and existing methods to classify inbreeding into new and old classes using pedigree and genomic (ROH segments) information

From: Grid search approach to discriminate between old and recent inbreeding using phenotypic, pedigree and genomic information

Traita

Inbreedingb

Criterionc

Adj.R2

RMSE

AIC

BIC

Using Pedigree information

 BW

Existing

Kalinowski

0.1561

4.1822

4294.78

4433.10

 

P_5L

0.1553

4.1841

4295.45

4433.78

Proposed

P_10P

0.1580

4.1776

4293.12

4431.44

 WW

Existing

Kalinowski

0.5418

22.6225

6741.76

6884.40

 

P_5L

0.5402

22.6625

6744.36

6887.00

Proposed

P_10P

0.5436

22.5781

6738.87

6881.51

 YW

Existing

Kalinowski

0.8448

31.3207

6744.06

6884.56

 

P_5L

0.8441

31.3937

6747.26

6887.76

Proposed

P_10P

0.8449

31.3088

6743.54

6884.04

 ADG

Existing

Kalinowski

0.8427

0.1366

− 726.03

− 590.06

 

P_5L

0.8437

0.1361

− 730.21

− 594.24

Proposed

P_11P

0.8441

0.1359

− 732.16

− 596.19

Using Genomic information

 BW

Existing

ROH_Mclust

0.15583

4.1829

4295.01

4433.34

 

ROH_5L

0.15566

4.1833

4295.16

4433.48

Proposed

ROH_9P

0.15588

4.1828

4294.97

4433.29

 WW

Existing

ROH_Mclust

0.53964

22.6759

6745.23

6887.87

 

ROH_5L

0.53946

22.6802

6745.52

6888.15

Proposed

ROH_13P

0.53962

22.6762

6745.25

6887.89

 YW

Existing

ROH_Mclust

0.84299

31.5019

6751.99

6892.49

 

ROH_5L

0.84304

31.4976

6751.80

6892.30

Proposed

ROH_7P

0.84299

31.5025

6752.01

6892.52

 ADG

Existing

ROH_Mclust

0.84202

0.1369

−723.05

− 587.08

 

ROH_5L

0.84205

0.1368

−723.15

−587.18

Proposed

ROH_7P

0.84211

0.1368

−723.43

−587.46

  1. aBW birth weight (kg), WW weaning weight (kg), YW yearling weight (kg), ADG average daily gain (kg/d)
  2. bKalinowski classification of inbreeding based on Kalinowski et al. (2000), P_5L classification of inbreeding based on 5 generations according to literature, P_10P and P_11P classification of inbreeding based on 10 and 11 generations, respectively, as determined by the proposed method, ROH_Mclust classification of inbreeding based on model-based clustering method, ROH_5L classification of inbreeding based on 5 Mb according to literature, ROH_7P ROH_9P, and ROH_13P classification of inbreeding based on 7, 9, and 13 Mb, respectively, as determined by the proposed method
  3. cAdj.R2 Adjusted R-squared, RMSE Root Mean Squared Error, AIC Akaike’s Information Criteria, BIC Bayesian information criteria