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

H C Dougherty; E Kebreab; M Evered; B A Little; A B Ingham; J V Nolan; R S Hegarty; D Pacheco; M J McPhee

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.

Original language	English
Pages	627-627
Publication status	Published - 16 Sept 2016
Event	ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show - Salt Palace Convention Center, Salt Lake City, United States of America Duration: 23 Jul 2016 → 24 Jul 2016

Conference

Conference	ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show
City	Salt Lake City, United States of America
Period	23/07/16 → 24/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

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Dougherty, H. C., Kebreab, E., Evered, M., Little, B. A., Ingham, A. B., Nolan, J. V., Hegarty, R. S., Pacheco, D., & McPhee, M. J. (2016). Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production. 627-627. Abstract from ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show, Salt Lake City, United States of America. https://hdl.handle.net/1959.11/29242

@conference{07a58f97d612409a87322a6678fcbee3,

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

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.",

author = "Dougherty, \{H C\} and E Kebreab and M Evered and Little, \{B A\} and Ingham, \{A B\} and Nolan, \{J V\} and Hegarty, \{R S\} and D Pacheco and McPhee, \{M J\}",

year = "2016",

month = sep,

day = "16",

language = "English",

pages = "627--627",

note = "ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show ; Conference date: 23-07-2016 Through 24-07-2016",

}

Dougherty, HC, Kebreab, E, Evered, M, Little, BA, Ingham, AB, Nolan, JV, Hegarty, RS, Pacheco, D & McPhee, MJ 2016, 'Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production', ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show, Salt Lake City, United States of America, 23/07/16 - 24/07/16 pp. 627-627. <https://hdl.handle.net/1959.11/29242>

Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production. / Dougherty, H C; Kebreab, E; Evered, M et al.
2016. 627-627 Abstract from ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show, Salt Lake City, United States of America.

Research output: Contribution to conference › Abstract › peer-review

TY - CONF

T1 - Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production

AU - Dougherty, H C

AU - Kebreab, E

AU - Evered, M

AU - Little, B A

AU - Ingham, A B

AU - Nolan, J V

AU - Hegarty, R S

AU - Pacheco, D

AU - McPhee, M J

PY - 2016/9/16

Y1 - 2016/9/16

N2 - 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.

AB - 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.

UR - https://www.nrcresearchpress.com/doi/pdfplus/10.1139/cjas-2016-0149

M3 - Abstract

SP - 627

EP - 627

T2 - ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show

Y2 - 23 July 2016 through 24 July 2016

ER -

Dougherty HC, Kebreab E, Evered M, Little BA, Ingham AB, Nolan JV et al.. Local and global sensitivity analysis of methane production relevant parameters in the AusBeef rumen model of beef production. 2016. Abstract from ASAS-CSAS 2016: 2016 American Society of Animal Science and Canadian Society of Animal Science Annual Meeting and Trade Show, Salt Lake City, United States of America.