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Table 4 Variance components for fertility traits in the real dataset

From: A variance component estimation approach to infer associations between Mendelian polledness and quantitative production and female fertility traits in German Simmental cattle

Trait

Model

\(\sigma _{{\mathbf{a}}}^{2}\)

\(\sigma _{{\mathbf{v}}}^{2}\)

\(\sigma _{{{\mathbf{PE}}}}^{2}\)

\(\sigma _{{\mathbf{e}}}^{2}\)

\({\mathbf{QTL}} - {\mathbf{h}}^{2}\)

\({\mathbf{h}}^{2}\)(SE) (polygenic + QTL)

LRT p (λ)

NRR-56 (binary)

Basic (univariate)

0.075

 

0.409

3.290

 

0.020 (0.038)

1 (− 0.407)

QTL (univariate)

0.047

0.018

0.416

3.290

0.005

0.017 (0.049)

Basic (bivariate)

0.061

 

0.232

3.290

 

0.017 (0.030)

 

QTL (bivariate)

0.061

0.531e−03

0.228

3.290

0.148e−03

0.017 (0.048)

DFS* (days)

Basic (univariate)

54.142

 

209.418

2098.704

 

0.023 (0.018)

0.663 (0.190)

QTL (univariate)

39.286

12.249

210.966

2097.825

0.005

0.022 (0.024)

Basic (bivariate)

45.011

 

220.952

2096.554

 

0.019 (0.016)

 

QTL (bivariate)

38.886

0.825

220.753

2097.187

0.350e−03

0.017 (0.014)

DO (days)

Basic (univariate)

55.600

 

102.212

1931.358

 

0.027 (0.018)

0.434 (0.613)

QTL (univariate)

26.347

25.290

102.586

1930.923

0.012

0.025 (0.027)

Basic (bivariate)

46.174

 

112.101

1930.572

 

0.022 (0.016)

 

QTL (bivariate)

31.215

11.429

110.559

1931.022

0.005

0.020 (0.024)

  1. Corresponding variance components for the polled trait from the bivariate models are included in Additional file 5
  2. NRR-56: non return rate 56; DFS: days to first service; DO: days open
  3. \({\sigma}_{\mathbf{a}}^2\) = additive genetic variance based on \({\mathbf{A}}\); \({\sigma}_{{{\mathbf{v}}}}^2\) = additive genetic variance based on \({\mathbf{A}}_{{\mathbf{v}}}\); \(\sigma_{{{\text{PE}}}}^{2}\) = permanent environment variance; \(\sigma_{{\mathbf{e}}}^{2}\) = residual variance; \({\text{QTL}} - {\text{h}}^{2}\) = QTL heritability calculated as \(\sigma _{{\mathbf{v}}}^{2} /\sigma _{{\mathbf{a}}}^{2} + \sigma _{{\mathbf{v}}}^{2} + \sigma _{{{\mathbf{PE}}}}^{2} + \sigma _{{\mathbf{e}}}^{2}\); \({\text{h}}^{2}\) (SE) = overall heritability and standard error (in brackets) calculated as \(\sigma _{{\text{v}}}^{2} + \sigma _{{\mathbf{a}}}^{2} /\sigma _{{\mathbf{a}}}^{2} + \sigma _{{\mathbf{v}}}^{2} + \sigma _{{{\mathbf{PE}}}}^{2} + \sigma _{{\mathbf{e}}}^{2}\); LRT p (λ) = p- and lambda values from likelihood ratio tests
  4. *Since the full bivariate model including \({\mathbf{A}}\) and \({\mathbf{A}}_{{\mathbf{v}}}\) for the trait DFS did not fully converge, we present the results for a model excluding \({\mathbf{A}}\) in the model for polledness.