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    New Directions in Deterministic Metabolism Modeling of Sheep

    Access Status
    Fulltext not available
    Authors
    Black, E.
    Rehbock, Volker
    Date
    2016
    Type
    Book Chapter
    
    Metadata
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    Citation
    Black, E. and Rehbock, V. 2016. New Directions in Deterministic Metabolism Modeling of Sheep. In Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications, 243-252.
    Source Title
    Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications
    DOI
    10.1016/B978-0-12-804203-8.00016-X
    ISBN
    9780128042595
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/52266
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 Elsevier Inc. All rights reserved.A deterministic whole-body sheep metabolism model relies on biochemical knowledge on how pools absorb nutrients from feed intake and interact with each other. We review previous work in the area with a focus on one of the more comprehensive sheep models published. We identify some less transparent limitations to this model and suggest ways to overcome them. We demonstrate the use of dynamic optimization techniques, particularly optimal parameter selection formulations, to improve the model, guided by the observed behavior or actual sheep metabolic processes.We implement the model consisting of differential equations governing transactions between pools in the MISER3.3 dynamic optimization software. This enables us to adjust model parameters and inputs to achieve more realistic outcomes and extend the model to adulthood. While a reliable, widely accepted model to replicate whole-body sheep growth remains a long-term goal, the work demonstrates that significant improvements can be achieved with appropriate mathematical tools.

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