Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments
Several authors have developed equations to estimate methane (CH4) emissions by cattle according to variables such as dry matter and nutrient intake, live weight, or weight gain. Mathematical models using these variables show a large variability of results, being necessary to identify those which p...
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Editora da Universidade Estadual de Maringá (Eduem)
2024-11-01
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Series: | Acta Scientiarum: Animal Sciences |
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Online Access: | https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/69328 |
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author | Isabel Molina-Botero Medardo Díaz-Céspedes Olga Mayorga-Mogollón Juan Ku-Vera Jeyder Arceo-Castillo María Denisse Montoya-Flores Jacobo Arango Carlos Gómez-Bravo |
author_facet | Isabel Molina-Botero Medardo Díaz-Céspedes Olga Mayorga-Mogollón Juan Ku-Vera Jeyder Arceo-Castillo María Denisse Montoya-Flores Jacobo Arango Carlos Gómez-Bravo |
author_sort | Isabel Molina-Botero |
collection | DOAJ |
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Several authors have developed equations to estimate methane (CH4) emissions by cattle according to variables such as dry matter and nutrient intake, live weight, or weight gain. Mathematical models using these variables show a large variability of results, being necessary to identify those which provide more precise and accurate predictions. For this reason, the objective of this study was to validate enteric CH4 emissions estimated from mathematical models through a comparison with a database of CH4 emissions obtained from cattle experiments carried out in tropical regions. A database of 495 individual cattle CH4 emissions data (g day-1) obtained from 19 studies in three tropical Latin American countries was built for this study. Results showed that mathematical models developed for cattle in tropical production systems overestimated CH4 emissions when they were compared with our database. The mathematical model with higher precision and accuracy was the one that included dry matter intake and organic matter digestibility in the equation (Equation 7. R2=0.34, Cb=0.94, CCC=0.55, RMSE=60.8%, r=0.58), followed by models that included neutral detergent fiber intake data (Equation 5). Our data did not show a relationship between CH4 emissions and gross energy intake or live weight.
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institution | Kabale University |
issn | 1806-2636 1807-8672 |
language | English |
publishDate | 2024-11-01 |
publisher | Editora da Universidade Estadual de Maringá (Eduem) |
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series | Acta Scientiarum: Animal Sciences |
spelling | doaj-art-2fe43f44efe94a5cb768941f1462c9832024-11-14T07:34:49ZengEditora da Universidade Estadual de Maringá (Eduem)Acta Scientiarum: Animal Sciences1806-26361807-86722024-11-0147110.4025/actascianimsci.v47i1.69328Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experimentsIsabel Molina-Botero0Medardo Díaz-Céspedes1Olga Mayorga-Mogollón2Juan Ku-Vera3Jeyder Arceo-Castillo4María Denisse Montoya-Flores5Jacobo Arango6Carlos Gómez-Bravo7Universidad Nacional Agraria La Molina / Tropical Forages Program of the International Center for Tropical AgricultureUniversidad Nacional Agraria La MolinaCorporación Colombiana de Investigación Agropecuaria University of YucatanUniversity of YucatanNational Institute for Forestry, Agriculture and Livestock ResearchTropical Forages Program of the International Center for Tropical AgricultureUniversidad Nacional Agraria La Molina Several authors have developed equations to estimate methane (CH4) emissions by cattle according to variables such as dry matter and nutrient intake, live weight, or weight gain. Mathematical models using these variables show a large variability of results, being necessary to identify those which provide more precise and accurate predictions. For this reason, the objective of this study was to validate enteric CH4 emissions estimated from mathematical models through a comparison with a database of CH4 emissions obtained from cattle experiments carried out in tropical regions. A database of 495 individual cattle CH4 emissions data (g day-1) obtained from 19 studies in three tropical Latin American countries was built for this study. Results showed that mathematical models developed for cattle in tropical production systems overestimated CH4 emissions when they were compared with our database. The mathematical model with higher precision and accuracy was the one that included dry matter intake and organic matter digestibility in the equation (Equation 7. R2=0.34, Cb=0.94, CCC=0.55, RMSE=60.8%, r=0.58), followed by models that included neutral detergent fiber intake data (Equation 5). Our data did not show a relationship between CH4 emissions and gross energy intake or live weight. https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/69328greenhouse gases; modeling; tropical livestock. |
spellingShingle | Isabel Molina-Botero Medardo Díaz-Céspedes Olga Mayorga-Mogollón Juan Ku-Vera Jeyder Arceo-Castillo María Denisse Montoya-Flores Jacobo Arango Carlos Gómez-Bravo Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments Acta Scientiarum: Animal Sciences greenhouse gases; modeling; tropical livestock. |
title | Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
title_full | Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
title_fullStr | Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
title_full_unstemmed | Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
title_short | Validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
title_sort | validation of enteric methane emissions by cattle estimated from mathematical models using data from in vivo experiments |
topic | greenhouse gases; modeling; tropical livestock. |
url | https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/69328 |
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