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A Simulation of Sheep Crossbreeding Systems: a Risk Analysis

W Wei, David Cottle, JR Sedcole, Anthony Bywater

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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 languageEnglish
    Title of host publicationProceedings of the Association for the Advancement of Animal Breeding and Genetics
    Place of PublicationArmidale, Australia
    PublisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)
    Pages290-293
    Volume15
    ISBN (Print)0958629927
    Publication statusPublished - 2003
    EventAAABG 2003: 15th Conference of the Association for the Advancement of Animal Breeding and Genetics - Melbourne, Australia
    Duration: 7 Jul 200311 Jul 2003

    Conference

    ConferenceAAABG 2003: 15th Conference of the Association for the Advancement of Animal Breeding and Genetics
    CityMelbourne, Australia
    Period7/07/0311/07/03

    Keywords

    • Animal Breeding

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