Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle

13 páginas, 2 figuras, 5 tablas.

Detalles Bibliográficos
Autores: Ruden, A., Rivera, B., Vargas, J.E., López, Secundino, Gaviria, X., Chirinda, N., Arango, J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/311006
Acceso en línea:http://hdl.handle.net/10261/311006
Access Level:acceso abierto
Palabra clave:Frmentation
Mathematical model
Greenhouse gases
Methane
RUMINANT
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spelling Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattleRuden, A.Rivera, B.Vargas, J.E.López, SecundinoGaviria, X.Chirinda, N.Arango, J.FrmentationMathematical modelGreenhouse gasesMethaneRUMINANT13 páginas, 2 figuras, 5 tablas.Simulation models represent a low-cost approach to evaluating agricultural systems. In the current study, the precision and accuracy of the RUMINANT model to predict dry matter intake (DMI) and methane emissions from beef cattle fed tropical diets (characteristic of Colombia) was assessed. Feed intake (DMI) and methane emissions were measured in Brahman steers housed in polytunnels and fed six forage diets. In addition, DMI and methane emissions were predicted by the RUMINANT model. The model’s predictive capability was measured on the basis of precision: coefficients of variation (CV%) and determination (R2, percentage of variance accounted for by the model), and model efficiency (ME) and accuracy: the simulated/observed ratio (S/O ratio) and slope and mean bias (MB%). In addition, combined measurements of accuracy and precision were carried out by means of mean square prediction error (MSPE) and correlation correspondence coefficient (CCC) and their components. The predictive capability of the RUMINANT model to simulate DMI resulted as valuable for mean S/O ratio (1.07), MB% (2.23%), CV% (17%), R2 (0.886), ME (0.809), CCC (0.869). However, for methane emission simulations, the model substantially underestimated methane emissions (mean S/O ratio = 0.697, MB% = −30.5%), and ME and CCC were −0.431 and 0.485, respectively. In addition, a subset of data corresponding to diets with Leucaena was not observed to have a linear relationship between the observed and simulated values. It is suggested that this may be related to anti-methanogenic factors characteristic of Leucaena, which were not accounted for by the model. This study contributes to improving national inventories of greenhouse gases from the livestock of tropical countries.This work was funded by the OneCGIAR initiative on Livestock and Climate.Peer reviewedMultidisciplinary Digital Publishing InstituteCGIAR (France)López, Secundino [0000-0001-6267-683X]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/311006reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.3390/ani13040721Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3110062026-05-22T06:33:51Z
dc.title.none.fl_str_mv Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
title Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
spellingShingle Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
Ruden, A.
Frmentation
Mathematical model
Greenhouse gases
Methane
RUMINANT
title_short Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
title_full Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
title_fullStr Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
title_full_unstemmed Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
title_sort Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
dc.creator.none.fl_str_mv Ruden, A.
Rivera, B.
Vargas, J.E.
López, Secundino
Gaviria, X.
Chirinda, N.
Arango, J.
author Ruden, A.
author_facet Ruden, A.
Rivera, B.
Vargas, J.E.
López, Secundino
Gaviria, X.
Chirinda, N.
Arango, J.
author_role author
author2 Rivera, B.
Vargas, J.E.
López, Secundino
Gaviria, X.
Chirinda, N.
Arango, J.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv CGIAR (France)
López, Secundino [0000-0001-6267-683X]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Frmentation
Mathematical model
Greenhouse gases
Methane
RUMINANT
topic Frmentation
Mathematical model
Greenhouse gases
Methane
RUMINANT
description 13 páginas, 2 figuras, 5 tablas.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/311006
url http://hdl.handle.net/10261/311006
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.3390/ani13040721
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414351879798785
score 15,81155

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