Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries

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dc.contributor.authorCongio, Guilhermo F.S.
dc.contributor.authorBannink, André
dc.contributor.authorMayorga, Olga L.
dc.contributor.authorRodrigues, João P.P.
dc.contributor.authorBougouin, Adeline
dc.contributor.authorKebreab, Ermias
dc.contributor.authorCarvalho, Paulo C.F.
dc.contributor.authorBerchielli, Telma T. [UNESP]
dc.contributor.authorMercadante, Maria E.Z.
dc.contributor.authorValadares-Filho, Sebastião C.
dc.contributor.authorBorges, Ana L.C.C.
dc.contributor.authorBerndt, Alexandre
dc.contributor.authorRodrigues, Paulo H.M.
dc.contributor.authorKu-Vera, Juan C.
dc.contributor.authorMolina-Botero, Isabel C.
dc.contributor.authorArango, Jacobo
dc.contributor.authorReis, Ricardo A. [UNESP]
dc.contributor.authorPosada-Ochoa, Sandra L.
dc.contributor.authorTomich, Thierry R.
dc.contributor.authorCastelán-Ortega, Octavio A.
dc.contributor.authorMarcondes, Marcos I.
dc.contributor.authorGómez, Carlos
dc.contributor.authorRibeiro-Filho, Henrique M.N.
dc.contributor.authorGere, José I.
dc.contributor.authorAriza-Nieto, Claudia
dc.contributor.authorGiraldo, Luis A.
dc.contributor.authorGonda, Horacio
dc.contributor.authorCerón-Cucchi, María E.
dc.contributor.authorHernández, Olegario
dc.contributor.authorRicci, Patricia
dc.contributor.authorHristov, Alexander N.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionWageningen University & Research
dc.contributor.institutionColombian Corporation for Agricultural Research
dc.contributor.institutionFederal Rural University of Rio de Janeiro
dc.contributor.institutionUniversity of California
dc.contributor.institutionFederal University of Rio Grande do Sul
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionSão Paulo Agribusiness Technology Agency
dc.contributor.institutionFederal University of Viçosa
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversity of Yucatan
dc.contributor.institutionNational Agrarian University La Molina
dc.contributor.institutionInternational Center for Tropical Agriculture
dc.contributor.institutionUniversity of Antioquia
dc.contributor.institutionAutonomous University of the State of Mexico
dc.contributor.institutionWashington State University
dc.contributor.institutionSanta Catarina State University
dc.contributor.institutionNational Technological University
dc.contributor.institutionNational Scientific and Technical Research Council
dc.contributor.institutionNational University of Colombia
dc.contributor.institutionSwedish University of Agricultural Sciences
dc.contributor.institutionInstitute of Pathobiology
dc.contributor.institutionNational Institute of Agricultural Technology
dc.contributor.institutionThe Pennsylvania State University
dc.date.accessioned2023-07-29T13:59:07Z
dc.date.available2023-07-29T13:59:07Z
dc.date.issued2023-01-15
dc.description.abstractOn-farm methane (CH4) emissions need to be estimated accurately so that the mitigation effect of recommended practices can be accounted for. In the present study prediction equations for enteric CH4 have been developed in lieu of expensive animal measurement approaches. Our objectives were to: (1) compile a dataset from individual beef cattle data for the Latin America and Caribbean (LAC) region; (2) determine main predictors of CH4 emission variables; (3) develop and cross-validate prediction models according to dietary forage content (DFC); and (4) compare the predictive ability of these newly-developed models with extant equations reported in literature, including those currently used for CH4 inventories in LAC countries. After outlier's screening, 1100 beef cattle observations from 55 studies were kept in the final dataset (∼ 50 % of the original dataset). Mixed-effects models were fitted with a random effect of study. The whole dataset was split according to DFC into a subset for all-forage (DFC = 100 %), high-forage (94 % ≥ DFC ≥ 54 %), and low-forage (50 % ≥ DFC) diets. Feed intake and average daily gain (ADG) were the main predictors of CH4 emission (g d−1), whereas this was feeding level [dry matter intake (DMI) as % of body weight] for CH4 yield (g kg−1 DMI). The newly-developed models were more accurate than IPCC Tier 2 equations for all subsets. Simple and multiple regression models including ADG were accurate and a feasible option to predict CH4 emission when data on feed intake are not available. Methane yield was not well predicted by any extant equation in contrast to the newly-developed models. The present study delivered new models that may be alternatives for the IPCC Tier 2 equations to improve CH4 prediction for beef cattle in inventories of LAC countries based either on more or less readily available data.en
dc.description.affiliationDepartment of Animal Science Luiz de Queiroz College of Agriculture University of São Paulo, SP
dc.description.affiliationWageningen Livestock Research Wageningen University & Research, AH
dc.description.affiliationColombian Corporation for Agricultural Research, Tibaitatá
dc.description.affiliationAnimal Science Institute Department of Animal Production Federal Rural University of Rio de Janeiro, RJ
dc.description.affiliationDepartment of Animal Science University of California
dc.description.affiliationDepartment of Forage Plants and Agrometeorology Federal University of Rio Grande do Sul, RS
dc.description.affiliationDepartment of Animal Science São Paulo State University, SP
dc.description.affiliationInstitute of Animal Science São Paulo Agribusiness Technology Agency, SP
dc.description.affiliationDepartment of Animal Science Federal University of Viçosa, MG
dc.description.affiliationDepartment of Animal Science Federal University of Minas Gerais, MG
dc.description.affiliationBrazilian Agricultural Research Corporation Embrapa Southeast Livestock, SP
dc.description.affiliationDepartment of Animal Nutrition and Production Faculty of Veterinary Medicine and Animal Science University of São Paulo, SP
dc.description.affiliationDepartment of Animal Nutrition Faculty of Veterinary Medicine and Animal Science University of Yucatan, Yucatán
dc.description.affiliationDepartment of Animal Husbandry Faculty of Animal Science National Agrarian University La Molina
dc.description.affiliationInternational Center for Tropical Agriculture, Valle del Cauca
dc.description.affiliationFaculty of Agricultural Sciences University of Antioquia, Antioquia
dc.description.affiliationBrazilian Agricultural Research Corporation Embrapa Dairy Cattle, MG
dc.description.affiliationFaculty of Veterinary Medicine and Animal Science Autonomous University of the State of Mexico, Estado de México
dc.description.affiliationDepartment of Animal Sciences Washington State University
dc.description.affiliationDepartment of Animal and Food Science Santa Catarina State University, SC
dc.description.affiliationRegional Faculty of Buenos Aires National Technological University
dc.description.affiliationNational Scientific and Technical Research Council
dc.description.affiliationDepartment of Animal Production Faculty of Agricultural Sciences National University of Colombia, Antioquia
dc.description.affiliationDepartment of Animal Nutrition and Management Faculty of Veterinary Medicine and Animal Science Swedish University of Agricultural Sciences
dc.description.affiliationNational Institute of Agricultural Technology Institute of Pathobiology
dc.description.affiliationNational Institute of Agricultural Technology, Santiago del Estero
dc.description.affiliationNational Institute of Agricultural Technology
dc.description.affiliationDepartment of Animal Science The Pennsylvania State University
dc.description.affiliationUnespDepartment of Animal Science São Paulo State University, SP
dc.identifierhttp://dx.doi.org/10.1016/j.scitotenv.2022.159128
dc.identifier.citationScience of the Total Environment, v. 856.
dc.identifier.doi10.1016/j.scitotenv.2022.159128
dc.identifier.issn1879-1026
dc.identifier.issn0048-9697
dc.identifier.scopus2-s2.0-85139358380
dc.identifier.urihttp://hdl.handle.net/11449/248983
dc.language.isoeng
dc.relation.ispartofScience of the Total Environment
dc.sourceScopus
dc.subjectDietary nutrients
dc.subjectGreenhouse gas
dc.subjectLinear regression
dc.subjectLivestock
dc.subjectMethane conversion factor
dc.subjectModel cross-validation
dc.titleImproving the accuracy of beef cattle methane inventories in Latin America and Caribbean countriesen
dc.typeArtigo

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