|
|
|
|
|
| CONGIO, G. F. S.; CHIAVEGATO, M. B.; BATALHA, C. D. A.; BERNDT, A.; FRIGHETTO, R. T. S.; SILVA, S. C. da. |
| Grazing management changes sward structure, affecting forage morphological characteristics and nutritive value, and ultimately animal performance and enteric methane (CH4) emissions. The objective of this study was to evaluate enteric methane emissions and animal performance of lactating dairy cows grazing elephant grass (Pennisetum purpureum Schum. cv. Cameroon). Treatments corresponded to strategies of rotational grazing characterized by two pre-grazing targets; 95% and maximum canopy light interception (LI95% and LIMax, respectively). Post-grazing target corresponded to 50% of the pre-grazing targets. Twenty-two midlactation Holstein × Jersey cows (488 ± 60 kg) were stratified by body weight, days in milk (126 ± 90 days), lactation number (2.3 ± 1.2),... |
| Tipo: Separatas |
Palavras-chave: Light interception; Vaca Leiteira; Metano; Pennisetum Purpureum; Dairy cows; Pennisetum; Methane; Emissions. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103344 |
| |
|
|
| CONGIO, G. F. S.; BANNINK, A.; MAYORGA, O. L.; RODRIGUES, J. P. P.; BOUGOUIN, A.; KEBREAD, E.; SILVA, R. R.; MAURÍCIO, R. M.; SILVA, S. C. DA; OLIVEIRA, P. P. A.; MUÑOZ, C.; PEREIRA, L. G. R.; GÓMEZ, C.; ARIZA-NIETO, C.; RIBEIRO-FILHO, H. M. N.; CASTELÁN-ORTEGA, O. A.; ROSERO-NOGUERA, J. R.; TIERI, M. P.; RODRIGUES, P. H. M.; MARCONDES, M. I.; ASTIGARRAGA, L.; ABARCA, S.; HRISTOV, A. N.. |
| ABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated.... |
| Tipo: Artigo de periódico |
Palavras-chave: Empirical modeling; Enteric methane; GHG inventory; Prediction equations; Diet; Linear models. |
| Ano: 2022 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1146525 |
| |
|
| |
|
|
|
