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Table 2 Estimates of regression coefficients (\(\beta\)) from the bivariate logistic regression of selection score on estimated breeding values (\({\text{EBV}}\)) and estimated Mendelian sampling terms (\(\hat{a}\))

From: Selective advantage of implementing optimal contributions selection and timescales for the convergence of long-term genetic contributions

 

Pre-OCS

OCS

\(\beta\) (s.e.)

\(F\)

\(\beta\) (s.e.)

\(F\)

Males

\({\text{EBV}}\)

− 0.12 (0.11)

1.09

0.34 (0.10)

11.88

\(\hat{a}\)

− 1.24 (0.33)

13.61

0.68 (0.22)

9.43

Females

\({\text{EBV}}\)

0.01 (0.02)

0.16

0.16 (0.02)

82.24

\(\hat{a}\)

0.31 (0.08)

15.11

0.44 (0.04)

105.26

  1. Standard errors (s.e.) are between parentheses. Approximate F-values are shown with numerator d.f. = 1 and denominator d.f. = 8338, 8821, 12,998, and 12,064 for Pre-OCS males and females, and OCS males and females, respectively