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Table 2 Median prediction accuracy across replicates

From: Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding

Population \(\times\) method

y\(_{A}\)

y\(_{AD}\)

 

Purebred

F1

Rotation

Population A (Purebred)

 GT

0.41 (0.09)\(^{\mathrm{c}}\)

0.37 (0.11)\(^{\mathrm{c}}\)

0.40 (0.11)\(^{\mathrm{c}}\)

0.39 (0.12)\(^{\mathrm{c}}\)

 MF

0.41 (0.09)\(^{\mathrm{c}}\)

0.37 (0.11)\(^{\mathrm{c}}\)

0.40 (0.11)\(^{\mathrm{c}}\)

0.39 (0.12)\(^{\mathrm{c}}\)

 NRM

0.39 (0.09)\(^{\mathrm{c}}\)

0.37 (0.09)\(^{\mathrm{c}}\)

0.40 (0.11)\(^{\mathrm{c}}\)

0.37 (0.11)\(^{\mathrm{c}}\)

 SM

0.41 (0.09)\(^{\mathrm{c}}\)

0.37 (0.10)\(^{\mathrm{c}}\)

0.41 (0.09)\(^{\mathrm{c}}\)

0.40 (0.12)\(^{\mathrm{c}}\)

 ssGT

0.65 (0.06)\(^{\mathrm{a}}\)

0.59 (0.08)\(^{\mathrm{a}}\)

0.60 (0.08)\(^{\mathrm{a}}\)

0.60 (0.08)\(^{\mathrm{a}}\)

 ssMF

0.65 (0.06)\(^{\mathrm{a}}\)

0.59 (0.08)\(^{\mathrm{a}}\)

0.60 (0.07)\(^{\mathrm{a}}\)

0.60 (0.08)\(^{\mathrm{a}}\)

 ssNRM

0.63 (0.05)\(^{\mathrm{b}}\)

0.56 (0.07)\(^{\mathrm{b}}\)

0.58 (0.06)\(^{\mathrm{b}}\)

0.58 (0.07)\(^{\mathrm{b}}\)

 ssSM

0.65 (0.04)\(^{\mathrm{ab}}\)

0.58 (0.08)\(^{\mathrm{a}}\)

0.60 (0.07)\(^{\mathrm{b}}\)

0.60 (0.08)\(^{\mathrm{a}}\)

Population B (Purebred)

 GT

0.34 (0.12)\(^{\mathrm{c}}\)

0.31 (0.11)\(^{\mathrm{c}}\)

0.34 (0.12)\(^{\mathrm{c}}\)

0.34 (0.12)\(^{\mathrm{c}}\)

 MF

0.33 (0.12)\(^{\mathrm{c}}\)

0.31 (0.12)\(^{\mathrm{c}}\)

0.34 (0.12)\(^{\mathrm{c}}\)

0.34 (0.12)\(^{\mathrm{c}}\)

 NRM

0.33 (0.11)\(^{\mathrm{c}}\)

0.30 (0.11)\(^{\mathrm{c}}\)

0.31 (0.13)\(^{\mathrm{c}}\)

0.31 (0.13)\(^{\mathrm{c}}\)

 SM

0.35 (0.11)\(^{\mathrm{c}}\)

0.29 (0.11)\(^{\mathrm{c}}\)

0.31 (0.11)\(^{\mathrm{c}}\)

0.32 (0.11)\(^{\mathrm{c}}\)

 ssGT

0.53 (0.10)\(^{\mathrm{a}}\)

0.50 (0.08)\(^{\mathrm{a}}\)

0.54 (0.10)\(^{\mathrm{a}}\)

0.53 (0.09)\(^{\mathrm{a}}\)

 ssMF

0.55 (0.09)\(^{\mathrm{a}}\)

0.51 (0.07)\(^{\mathrm{a}}\)

0.54 (0.08)\(^{\mathrm{a}}\)

0.54 (0.08)\(^{\mathrm{a}}\)

 ssNRM

0.50 (0.11)\(^{\mathrm{b}}\)

0.50 (0.09)\(^{\mathrm{b}}\)

0.50 (0.09)\(^{\mathrm{b}}\)

0.51 (0.08)\(^{\mathrm{b}}\)

 ssSM

0.51 (0.11)\(^{\mathrm{b}}\)

0.48 (0.09)\(^{\mathrm{b}}\)

0.49 (0.08)\(^{\mathrm{b}}\)

0.50 (0.08)\(^{\mathrm{b}}\)

Population C (Crossbred)

 GT

0.62 (0.03)\(^{\mathrm{b}}\)

  

0.61 (0.03)\(^{\mathrm{b}}\)

 MF

0.62 (0.03)\(^{\mathrm{b}}\)

  

0.62 (0.03)\(^{\mathrm{b}}\)

 NRM

0.48 (0.02)\(^{\mathrm{f}}\)

  

0.48 (0.02)\(^{\mathrm{e}}\)

 SM

0.57 (0.02)\(^{\mathrm{d}}\)

  

0.57 (0.02)\(^{\mathrm{d}}\)

 ssGT

0.63 (0.03)\(^{\mathrm{a}}\)

  

0.62 (0.03)\(^{\mathrm{a}}\)

 ssMF

0.63 (0.03)\(^{\mathrm{a}}\)

  

0.62 (0.03)\(^{\mathrm{a}}\)

 ssNRM

0.48 (0.02)\(^{\mathrm{e}}\)

  

0.49 (0.03)\(^{\mathrm{e}}\)

 ssSM

0.57 (0.02)\(^{\mathrm{c}}\)

  

0.57 (0.02)\(^{\mathrm{c}}\)

  1. Median absolute deviations are in parentheses
  2. Accuracy: Pearson’s correlation between true breeding values and predicted breeding values
  3. Superscripts: Different superscripts denote that medians are significantly different
  4. Superscripts are comparable within combinations of Population and column
  5. ss-prefix: Relationship matrices include genomic information
  6. y\(_{A}\): A phenotype with additive genetic effects
  7. y\(_{AD}\): A phenotype with both additive and dominant genetic effects
  8. Purebred: True breeding value is for production of purebred animals
  9. F1: True breeding value is for production of F1-animals
  10. Rotation: True breeding value is for mating with rotationally crossbred animals