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author Congio, Guilhermo F.S.
Bannink, André
Mayorga, Olga L.
Rodrigues, João P.P.
Bougouin, Adeline
Kebreab, Ermias
Carvalho, Paulo C.F.
Berchielli, Telma T.
Mercadante, Maria E.Z.
Valadares-Filho, Sebastião C.
Borges, Ana L.C.C.
Berndt, Alexandre
Rodrigues, Paulo H.M
Ku-Vera, Juan Carlos
Molina Botero, Isabel Cristina
Arango, Jacobo
Reis, Ricardo A.
Posada Ochoa, Sandra L.
Tomich, Thierry R.
Castelán-Ortega, Octavio A.
Marcondes, Marcos I.
Gómez, Carlos
Ribeiro-Filho, Henrique M.N.
Gere, José I.
Ariza-Nieto, Claudia
Giraldo, Luis Alfonso
Gonda, Horacio
Cerón-Cucchi, María E.
Hernández, Olegario
Ricciv, Patricia
Hristov, Alexander N.
author_browse Arango, Jacobo
Ariza-Nieto, Claudia
Bannink, André
Berchielli, Telma T.
Berndt, Alexandre
Borges, Ana L.C.C.
Bougouin, Adeline
Carvalho, Paulo C.F.
Castelán-Ortega, Octavio A.
Cerón-Cucchi, María E.
Congio, Guilhermo F.S.
Gere, José I.
Giraldo, Luis Alfonso
Gonda, Horacio
Gómez, Carlos
Hernández, Olegario
Hristov, Alexander N.
Kebreab, Ermias
Ku-Vera, Juan Carlos
Marcondes, Marcos I.
Mayorga, Olga L.
Mercadante, Maria E.Z.
Molina Botero, Isabel Cristina
Posada Ochoa, Sandra L.
Reis, Ricardo A.
Ribeiro-Filho, Henrique M.N.
Ricciv, Patricia
Rodrigues, João P.P.
Rodrigues, Paulo H.M
Tomich, Thierry R.
Valadares-Filho, Sebastião C.
author_facet Congio, Guilhermo F.S.
Bannink, André
Mayorga, Olga L.
Rodrigues, João P.P.
Bougouin, Adeline
Kebreab, Ermias
Carvalho, Paulo C.F.
Berchielli, Telma T.
Mercadante, Maria E.Z.
Valadares-Filho, Sebastião C.
Borges, Ana L.C.C.
Berndt, Alexandre
Rodrigues, Paulo H.M
Ku-Vera, Juan Carlos
Molina Botero, Isabel Cristina
Arango, Jacobo
Reis, Ricardo A.
Posada Ochoa, Sandra L.
Tomich, Thierry R.
Castelán-Ortega, Octavio A.
Marcondes, Marcos I.
Gómez, Carlos
Ribeiro-Filho, Henrique M.N.
Gere, José I.
Ariza-Nieto, Claudia
Giraldo, Luis Alfonso
Gonda, Horacio
Cerón-Cucchi, María E.
Hernández, Olegario
Ricciv, Patricia
Hristov, Alexander N.
author_sort Congio, Guilhermo F.S.
collection Repository of Agricultural Research Outputs (CGSpace)
description On-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.
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institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Elsevier
publisherStr Elsevier
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spelling CGSpace1253532025-10-26T13:01:49Z Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries Congio, Guilhermo F.S. Bannink, André Mayorga, Olga L. Rodrigues, João P.P. Bougouin, Adeline Kebreab, Ermias Carvalho, Paulo C.F. Berchielli, Telma T. Mercadante, Maria E.Z. Valadares-Filho, Sebastião C. Borges, Ana L.C.C. Berndt, Alexandre Rodrigues, Paulo H.M Ku-Vera, Juan Carlos Molina Botero, Isabel Cristina Arango, Jacobo Reis, Ricardo A. Posada Ochoa, Sandra L. Tomich, Thierry R. Castelán-Ortega, Octavio A. Marcondes, Marcos I. Gómez, Carlos Ribeiro-Filho, Henrique M.N. Gere, José I. Ariza-Nieto, Claudia Giraldo, Luis Alfonso Gonda, Horacio Cerón-Cucchi, María E. Hernández, Olegario Ricciv, Patricia Hristov, Alexander N. forage nutrients greenhouse gases linear models livestock methane forrajes nutrientes gases de efecto invernadero pollution environmental engineering On-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. 2023-01 2022-11-07T15:52:30Z 2022-11-07T15:52:30Z Journal Article https://hdl.handle.net/10568/125353 en Limited Access Elsevier Congio, G.F.S.; Bannink, A.; Mayorga, O.L.; Rodrigues, J.P.P.; Bougouin, A.; Kebreab, E.; Carvalho, P.C.F.; Berchielli, T.T.; Mercadante, M.E.Z.; Valadares-Filho, S.C.; Borges, A.L.C.C.; Berndt, A.; Rodrigues, P.H.M.;Ku-Vera, J.C.; Molina-Botero, I.C.; Arango, J.; Reis, R.A.; Posada-Ochoa, S.L.; Tomich, T.R.; Castelán-Ortega, O.A.; Marcondes, M.I.; Gómez, C.; Ribeiro-Filho, H.M.N.; Gere, J.I.; Ariza-Nieto, C.; Giraldo, L.A.; Gonda, H.; Cerón-Cucchi, M.E.; Hernández, O.; Ricciv, P.; Hristov, A.N. (2023). Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries. Science of The Total Environment 856(2):159128.
spellingShingle forage
nutrients
greenhouse gases
linear models
livestock
methane
forrajes
nutrientes
gases de efecto invernadero
pollution
environmental engineering
Congio, Guilhermo F.S.
Bannink, André
Mayorga, Olga L.
Rodrigues, João P.P.
Bougouin, Adeline
Kebreab, Ermias
Carvalho, Paulo C.F.
Berchielli, Telma T.
Mercadante, Maria E.Z.
Valadares-Filho, Sebastião C.
Borges, Ana L.C.C.
Berndt, Alexandre
Rodrigues, Paulo H.M
Ku-Vera, Juan Carlos
Molina Botero, Isabel Cristina
Arango, Jacobo
Reis, Ricardo A.
Posada Ochoa, Sandra L.
Tomich, Thierry R.
Castelán-Ortega, Octavio A.
Marcondes, Marcos I.
Gómez, Carlos
Ribeiro-Filho, Henrique M.N.
Gere, José I.
Ariza-Nieto, Claudia
Giraldo, Luis Alfonso
Gonda, Horacio
Cerón-Cucchi, María E.
Hernández, Olegario
Ricciv, Patricia
Hristov, Alexander N.
Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title_full Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title_fullStr Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title_full_unstemmed Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title_short Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries
title_sort improving the accuracy of beef cattle methane inventories in latin america and caribbean countries
topic forage
nutrients
greenhouse gases
linear models
livestock
methane
forrajes
nutrientes
gases de efecto invernadero
pollution
environmental engineering
url https://hdl.handle.net/10568/125353
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