Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production

Title
Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production
Publication Date
2016-09-16
Author(s)
Dougherty, H C
( author )
OrcID: https://orcid.org/0000-0001-9918-4986
Email: hdoughe2@une.edu.au
UNE Id une-id:hdoughe2
Kebreab, E
Evered, M
Little, B A
Ingham, A B
Nolan, J V
( author )
OrcID: https://orcid.org/0000-0001-7949-950X
Email: jnolan@une.edu.au
UNE Id une-id:jnolan
Hegarty, R S
Pacheco, D
McPhee, M J
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Canadian Journal of Animal Science
Place of publication
Canada
UNE publication id
une:1959.11/29242
Abstract
Sensitivity analysis of mechanistic models allows for identification of influential model parameters as well as evaluation of model behaviour respective to current understanding of the biological processes involved in the model. Local sensitivity analysis, which looks at the effect of changing one parameter at a time on model outputs, is important for identifying internal parameters to which the model is highly sensitive for a given space of input and output. Global sensitivity analysis, which varies multiple parameters at a time across a given space, is important for identifying parameter interactions and downstream effects, as well as checking the mechanistic validity of the model with known biological response patterns.
Link
Citation
Canadian Journal of Animal Science, v.96, p. 627-627
ISSN
1918-1825
0008-3984
Start page
627
End page
627

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