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Table 3 Estimates of regression coefficients (\(\beta\)) from the bivariate logistic regression of maintenance of non-zero contributions 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

\({\text{EBV}}\)

0.03 (0.12)

0.07

0.96 (0.23)

17.81

\(\hat{a}\)

0.10 (0.22)

0.22

− 0.65 (0.26)

6.45

Females

\({\text{EBV}}\)

− 0.01 (0.06)

0.04

0.25 (0.06)

21.31

\(\hat{a}\)

0.24 (0.11)

4.37

0.22 (0.10)

5.07

  1. Standard errors (s.e.) are between parentheses. Approximate \(F\)-values are also shown: with numerator d.f. = 1 and denominator d.f. = 174, 1441, 108 and 1836 for Pre-OCS males and females, and OCS males and females, respectively