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Table 4 Pearson correlations (standard errors in brackets) of predicted breeding values and corrected phenotypes for the univariate and the bivariate model based on 431 boars and 876 gilts

From: Social genetic effects for growth in pigs differ between boars and gilts

Model

Corrected phenotypea

Predicted breeding values

\(DBV_{{CLASSIC_{i} }}\)

\(DBV_{{SOCIAL_{i} }}\)

\(\sum SBV_{{SOCIAL_{j} }}\)

\(P_{{TOTAL_{i} }}\)

P valueb

Univariate

      

Boars

\(\hat{P}_{iu}\)

0.165 (0.047)

0.164 (0.047)

0.067 (0.048)

0.177 (0.047)

0.15

Gilts

\(\hat{P}_{iu}\)

0.235 (0.033)

0.235 (0.033)

0.085 (0.034)

0.250 (0.032)

0.004

Bivariate

      

Boars

\(\hat{P}_{ib}\)

0.170 (0.047)

0.169 (0.048)

0.165 (0.047)

0.196 (0.047)

0.001

Gilts

\(\hat{P}_{ib}\)

0.251 (0.033)

0.251 (0.033)

0.069 (0.034)

0.262 (0.033)

0.047

  1. \(DBV_{{CLASSIC_{i} }}\) = direct breeding value for individual i from the classical model
  2. \(DBV_{{SOCIAL_{i} }}\) = direct breeding value from individual i from the social genetic model
  3. \(\sum SBV_{{SOCIAL_{j} }}\) = sum of the social breeding values of mates j
  4. \(P_{{TOTAL_{i} }}\) = total phenotype of an individual calculated as: \(P_{{TOTAL_{i} }} = DBV_{{SOCIAL_{i} }} + \sum SBV_{{SOCIAL_{j} }}\)
  5. aCorrected phenotypes from univariate (u) and bivariate (b) models, respectively
  6. bP value tests if the correlation between the corrected phenotypes and \(DBV_{{CLASSIC_{i} }}\) is statistically different from the correlation between the corrected phenotypes and \(P_{{TOTAL_{i} }}\)