tsehay.pdf
tsehay.pdf
tsehay.pdf
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Summary 137<br />
is based on equalising the genetic contribution of the founder animals to the following<br />
generation. This could be implemented by the software package GENCONT. Under<br />
certain constraints, the optimal number of offspring for each candidate can be<br />
determined using this programme, to restrict the inbreeding rate and to balance the<br />
different contribution. Generally, the restriction can be carried out on the basis of<br />
average relationship or average inbreeding. As an alternate scenario, the restriction was<br />
carried out through predefining the number of offspring per hen and cock, respectively.<br />
Finally, the three scenarios were compared with the standard method of the commercial<br />
breeding company. The result showed that high rate of genetic gain with limited<br />
inbreeding could be achieved when using OGC. The alternate scenario resulted in<br />
decreased breeding value for all the evaluated lines. There was no difference in genetic<br />
response whether the maximum tolerated relationship was predefined on the basis of<br />
average relationship or average inbreeding. Taking the overlapping generation into<br />
account turned to have no remarkable effect.<br />
The potential of marker assisted selection was evaluated using simulation studies. Three<br />
types of selection strategies were compared: (1) phenotypic selection (PAS): entirely<br />
based on phenotypic information (genotype information was not considered); (2) gene<br />
assisted selection (GAS): selection using information on the QTL; and (3) marker<br />
assisted selection (MAS): selection using information on markers linked to the QTL.<br />
The comparison of PAS and GAS showed only a short-term (i.e. less than 5 generation)<br />
advantage of GAS over PHE. GAS resulted in an increase of genetic gain by up to<br />
20,6%. However the superiority of GAS declined in the long-term (i.e. greater than 5<br />
generation). The genetic gain achieved with MAS and PAS was identical.<br />
The effect of number of alleles per marker and length of chromosome segment was also<br />
evaluated. Simulations were carried out for three types of selection strategies (PAS,<br />
MAS and GAS) during 10 generations. At first, the number of alleles per marker was<br />
increased from 2 to 10. However, extra genetic gain couldn’t be achieved when<br />
increasing the number of marker alleles. Increasing the length of the chromosome<br />
segment didn’t have any effect on genetic gain either. This suggests that the information<br />
content of each marker genotype is more important than the number of alleles per<br />
marker and length of chromosome segment, respectively.