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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