Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle
Methane (CH4) is a byproduct of the digestion of cattle; this gas has a greenhouse effect in the atmosphere, which contributes to global warming. As the direct measurement of methane demands time and resources, the objective of this work was to evaluate the ability of a mathematical model (RUMINANT)...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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MDPI
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/129073 |
| _version_ | 1855533207797104640 |
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| author | Ruden, Alejandro Rivera, Bernardo Vargas, Julio E. López, Secundino Gaviria, Xiomara Chirinda, Ngonidzashe Arango, Jacobo |
| author_browse | Arango, Jacobo Chirinda, Ngonidzashe Gaviria, Xiomara López, Secundino Rivera, Bernardo Ruden, Alejandro Vargas, Julio E. |
| author_facet | Ruden, Alejandro Rivera, Bernardo Vargas, Julio E. López, Secundino Gaviria, Xiomara Chirinda, Ngonidzashe Arango, Jacobo |
| author_sort | Ruden, Alejandro |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Methane (CH4) is a byproduct of the digestion of cattle; this gas has a greenhouse effect in the atmosphere, which contributes to global warming. As the direct measurement of methane demands time and resources, the objective of this work was to evaluate the ability of a mathematical model (RUMINANT) to predict methane emissions from livestock. With this objective, methane measurements were made in individual chambers, and the results were compared with methane emissions estimated by the RUMINANT model. The model showed a high capacity to predict dry matter intake. However, in the case of methane emissions, it did not. The model substantially underestimates methane emission in all diets (six) but one including Leucaena diversifolia. On diets without Leucaena, the precision of the model was adequate, but on diets with Leucaena, there was not a linear regression between the observed and simulated methane emission values. This may be an effect of the anti-methanogenic factors of Leucaena that are not accounted for by the RUMINANT model. This study contributes to improving national inventories of greenhouse gases from the livestock of tropical countries. |
| format | Journal Article |
| id | CGSpace129073 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1290732025-12-08T10:29:22Z Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle Ruden, Alejandro Rivera, Bernardo Vargas, Julio E. López, Secundino Gaviria, Xiomara Chirinda, Ngonidzashe Arango, Jacobo tropical zones livestock methane fermentation greenhouse gases leucaena Methane (CH4) is a byproduct of the digestion of cattle; this gas has a greenhouse effect in the atmosphere, which contributes to global warming. As the direct measurement of methane demands time and resources, the objective of this work was to evaluate the ability of a mathematical model (RUMINANT) to predict methane emissions from livestock. With this objective, methane measurements were made in individual chambers, and the results were compared with methane emissions estimated by the RUMINANT model. The model showed a high capacity to predict dry matter intake. However, in the case of methane emissions, it did not. The model substantially underestimates methane emission in all diets (six) but one including Leucaena diversifolia. On diets without Leucaena, the precision of the model was adequate, but on diets with Leucaena, there was not a linear regression between the observed and simulated methane emission values. This may be an effect of the anti-methanogenic factors of Leucaena that are not accounted for by the RUMINANT model. This study contributes to improving national inventories of greenhouse gases from the livestock of tropical countries. 2023-02-17 2023-02-27T15:42:48Z 2023-02-27T15:42:48Z Journal Article https://hdl.handle.net/10568/129073 en Open Access application/pdf MDPI Ruden, A.; Rivera, B.; Vargas, J.E.; López, S.; Gaviria, X.; Chirinda, N.; Arango, J. (2023) Evaluation of a model (RUMINANT) for prediction of DMI and CH4 from tropical beef cattle. Animals, 13(4):721. ISSN: 2076-2615 |
| spellingShingle | tropical zones livestock methane fermentation greenhouse gases leucaena Ruden, Alejandro Rivera, Bernardo Vargas, Julio E. López, Secundino Gaviria, Xiomara Chirinda, Ngonidzashe Arango, Jacobo 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 |
| 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_short | 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 |
| topic | tropical zones livestock methane fermentation greenhouse gases leucaena |
| url | https://hdl.handle.net/10568/129073 |
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