Scheme
|
Variance components
|
\(\overline{{D_{A} }}\)
|
\(\overline{{D_{G} }}\)
|
Percentage of \(\Delta D_{A\_G} > 0\)
|
---|
SGM_DGE
|
Estimated
|
1.016
|
1.027
|
24.7
|
SGM_DGE
|
True
|
1.047
|
1.020
|
96.7
|
SGM_TBV
|
Estimated
|
1.103
|
1.074
|
96.6
|
SGM_TBV
|
True
|
1.075
|
1.057
|
94.3
|
CGM_DGE
|
Estimated
|
1.080
|
1.049
|
97.1
|
- \(\Delta D_{A\_G} = {\raise0.7ex\hbox{${RS_{Fam}^{A} }$} \!\mathord{\left/ {\vphantom {{RS_{Fam}^{A} } {RS_{Ran}^{A} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${RS_{Ran}^{A} }$}} - {\raise0.7ex\hbox{${RS_{Fam}^{G} }$} \!\mathord{\left/ {\vphantom {{RS_{Fam}^{G} } {RS_{Ran}^{G} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${RS_{Ran}^{G} }$}}\), where \(RS_{Fam}^{A}\), \(RS_{Ran}^{A}\), \(RS_{Fam}^{G}\), \(RS_{Ran}^{G}\) are responses to selection (RS) obtained from the bootstrapping procedures for scenarios using group composition of families (Fam) and random (Ran) group composition for the use of pedigree- (\({\mathbf{A}}\)) and genomic-based (\({\mathbf{G}}\)) relationships. The bootstrapping procedures were repeated 5000 times, and \(\overline{{D_{A} }} = \overline{{{\raise0.7ex\hbox{${RS_{Fam}^{A} }$} \!\mathord{\left/ {\vphantom {{RS_{Fam}^{A} } {RS_{Ran}^{A} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${RS_{Ran}^{A} }$}}}}\) and \(\overline{{D_{G} }} = \overline{{{\raise0.7ex\hbox{${RS_{Fam}^{G} }$} \!\mathord{\left/ {\vphantom {{RS_{Fam}^{G} } {RS_{Ran}^{G} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${RS_{Ran}^{G} }$}}}}\) are the averages of the values from the repeated bootstrapping procedures
- The comparison between the two relationships was investigated under three breeding schemes: SGM_DGE used a social genetic model (SGM) with selection criteria based on direct genetic values (DGE); SGM_TBV used a SGM with selection criteria based on total breeding values (TBV); and CGM_DGE used the classical genetic model (CGM) with selection criteria based on DGE. Variance components used were true and estimated values. The trait was simulated with an SGE variance of 0.01 and a correlation between SGE and DGE of 0