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Table 2 MIR predictions for milk protein composition in Montbéliarde (MON), Normande (NOR), and Holstein (HOL) cows

From: Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle

Trait

Accuracya

Means ± standard deviationsb

R2

RE

MON

NOR

HOL

PC

Protein content

1.00

0.73

3.4 ± 0.4

3.6 ± 0.4

3.3 ± 0.4

α-LA

α-lactalbumin

0.59

14.4

4.07 ± 0.28

4.16 ± 0.36

4.27 ± 0.42

β-LG

β-lactoglobulin

0.74

11.7

8.25 ± 1.12

7.94 ± 1.03

8.46 ± 1.17

αs1-CN

αs1-casein

0.88

4.7

27.8 ± 0.55

27.8 ± 0.68

27.9 ± 0.69

αs2-CN

αs2-casein

0.82

7.5

9.53 ± 0.30

9.89 ± 0.33

9.69 ± 0.39

β-CN

β-casein

0.92

3.7

36.6 ± 0.88

36.2 ± 1.2

36.2 ± 1.2

κ-CN

κ-casein

0.80

8.4

9.75 ± 0.60

9.87 ± 0.48

9.43 ± 0.58

\(\varSigma\)-CN

Sum of caseins

0.97

2.7

83.7 ± 0.94

83.7 ± 1.5

83.1 ± 1.4

\(\varSigma\)-WP

Sum of whey proteins

0.73

8.9

12.6 ± 1.1

11.9 ± 1.2

12.6 ± 1.3

  1. aAccuracy of MIR predictions (R2 = coefficient of determination and RE = relative error) estimated by Ferrand et al. [7] for protein composition expressed as g/100 g milk
  2. bg/100 g milk for protein content (PC) and g/100 g protein for other traits
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Genetics Selection Evolution

ISSN: 1297-9686