Verena Gonzalez Lopez, 2011 - Institut für Tierzucht und Tierhaltung ...
Verena Gonzalez Lopez, 2011 - Institut für Tierzucht und Tierhaltung ...
Verena Gonzalez Lopez, 2011 - Institut für Tierzucht und Tierhaltung ...
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contribution (%)<br />
0 10 20 30 40 50 60<br />
contribution (%)<br />
0 10 20 30 40 50 60<br />
a) b)<br />
50 100 150 200<br />
EBV<br />
50 100 150 200<br />
EBV<br />
contribution (%)<br />
0 10 20 30 40 50 60<br />
contribution (%)<br />
0 10 20 30 40 50 60<br />
c) d)<br />
50 100 150 200<br />
50 100 150 200<br />
EBV<br />
Figure 5: Relation between estimated breeding values (EBV) of selected boars and<br />
optimized contributions for different constraints on relationship in GENCONT a) 2.0%, b)<br />
2.2%, c) 2.4%, d) 2.6% with restriction on maximal contributions (cmax = 0.1) of selected<br />
boars (Schleswig-Holstein boars in black, Baden-Württemberg boars in red).<br />
EBV<br />
Optimal contribution selection combined with minimum coancestry mating<br />
In Figure 6 the impact of minimum coancestry mating after applying optimum<br />
contribution theory to select boars and sows is illustrated. Minimum coancestry<br />
mating provided a mating plan with an average coancestry coefficient for matings<br />
that are substantially lower than when they were mated at random.<br />
As expected, on average the same expected breeding value of selected animals was<br />
achieved with both mating schemes. By comparison, boars and sows mated at<br />
random resulted in a much higher average coefficient. The reduction of average<br />
minimum coancestry through minimum coancestry mating was in the range from 74%<br />
up to 76% for SH boars. Including BW boars, average minimum coancestry could be<br />
reduced by 64% to 69%. The decrease in average coancestry applying minimum<br />
50