dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.contributor | Instituto de Zootecnia Centro Avançado de Pesquisa de Bovinos de Corte | |
dc.contributor | Empresa Brasileira de Pesquisa Agropecuária Embrapa Pecuária Sudeste | |
dc.date.accessioned | 2019-10-03T17:32:03Z | |
dc.date.accessioned | 2022-12-19T17:48:11Z | |
dc.date.available | 2019-10-03T17:32:03Z | |
dc.date.available | 2022-12-19T17:48:11Z | |
dc.date.created | 2019-10-03T17:32:03Z | |
dc.date.issued | 2019 | |
dc.identifier | Acta Scientiarum. Animal Sciences. Editora da Universidade Estadual de Maringá - EDUEM, v. 41, p. -, 2019. | |
dc.identifier | 1807-8672 | |
dc.identifier | http://hdl.handle.net/11449/183871 | |
dc.identifier | 10.4025/actascianimsci.v41i1.42559 | |
dc.identifier | S1807-86722019000100402 | |
dc.identifier | S1807-86722019000100402.pdf | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5364927 | |
dc.description.abstract | ABSTRACT. Dry matter intake (DMI), nutrient intake and enteric CH4 emission were evaluated in 48 Nellore cattle (392 ± 27 days of age). Equations were generated from intake data and evaluated using root mean square prediction error (RMSPE), and validated by cross-validation. Equations that included DMI and hemicellulose intake (HEMI) [C H4 M Jd- 1 = 4.08 ± 1.65 + 11.6 ± 2.34 D M I k gd- 1 - 33.4 ± 7.21 H E M I ( k gd- 1 ) ]; DMI and total carbohydrate intake (TCHI) [ C H4 M Jd- 1 = 5.26 ± 1.69 - 6.3 ± 1.47 D M I k gd- 1 + 8.8 ± 1.81 T C I k gd- 1 ]; metabolizable energy intake (MEI) and cellulose intake (CELI)[ C H4 M Jd- 1 = 5.16 ± 1.72 - 0.13 ± 0.048 M E I M Jd- 1 + 7.37 ± 1.53 C E L I k gd- 1 ], and non-fiber carbohydrate intake (NFCI) [ C H4 M Jd- 1 = 3.14 ± 1.48 + 3.65 ± 1.05 N F C I k gd- 1 ] resulted in the lowest RMSPE (14.3, 14.1, 14.3 and 14.7%, respectively). When literature equations were evaluated using our database, the most accurate predictions were obtained with equations that included DMI and lignin intake (RMSPE = 15.27%) and MEI, acid detergent fiber intake and lignin intake (RMSPE = 15.7%). The mean error of predicting enteric CH4 emission with the equations developed in this study based on DMI and nutrient intake is 17% and the most accurate predictions are obtained with equations including DMI, carbohydrate intake and MEI. | |
dc.language | eng | |
dc.publisher | Editora da Universidade Estadual de Maringá - EDUEM | |
dc.relation | Acta Scientiarum. Animal Sciences | |
dc.rights | Acesso aberto | |
dc.source | SciELO | |
dc.subject | beef cattle | |
dc.subject | dry matter intake | |
dc.subject | greenhouse gas | |
dc.subject | prediction | |
dc.subject | sulfur hexafluoride | |
dc.title | Development and evaluation of prediction equations for methane emission from Nellore cattle | |
dc.type | Artículos de revistas | |