A Simulation of Sheep Crossbreeding Systems: a Risk Analysis

Author(s)
Wei, W
Cottle, David
Sedcole, JR
Bywater, Anthony
Publication Date
2003
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.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.15, p. 290-293
ISBN
0958629927
ISSN
1328-3227
Link
Language
en
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
A Simulation of Sheep Crossbreeding Systems: a Risk Analysis
Type of document
Conference Publication
Entity Type
Publication

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