Abstract
A static simulation study was performed to develop algorithms and a model for predicting crossbred performance. The model was built using @Risk software using quantitative risk analysis. Estimates of crossbreeding parameters were fitted with normal distribution functions as the model inputs. Sets of available population means were used as model target values. The standard deviations of the predicted means from the target values for all structured crossbreeding systems using up to 4 breeds were compared to predefined risk threshold criteria. This appeared to be a good approach to estimating robust, balanced trait parameters.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Association for the Advancement of Animal Breeding and Genetics |
| Place of Publication | Armidale, Australia |
| Publisher | Association for the Advancement of Animal Breeding and Genetics (AAABG) |
| Pages | 290-293 |
| Volume | 15 |
| ISBN (Print) | 0958629927 |
| Publication status | Published - 2003 |
| Event | AAABG 2003: 15th Conference of the Association for the Advancement of Animal Breeding and Genetics - Melbourne, Australia Duration: 7 Jul 2003 → 11 Jul 2003 |
Conference
| Conference | AAABG 2003: 15th Conference of the Association for the Advancement of Animal Breeding and Genetics |
|---|---|
| City | Melbourne, Australia |
| Period | 7/07/03 → 11/07/03 |
Keywords
- Animal Breeding
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