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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Leite. |
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Data corrente: |
12/08/2022 |
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Data da última atualização: |
12/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GUIMARAES JUNIOR, R.; OLIVEIRA, A. F. de; FERREIRA, I. C.; PEREIRA, L. G. R.; TOMICH, T. R.; MENEZES, G. L.; VILELA, L.; LANA, A. M. Q. |
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Afiliação: |
ROBERTO GUIMARAES JUNIOR, CPAC; ALAN FIGUEIREDO DE OLIVEIRA; ISABEL CRISTINA FERREIRA, CPAC; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; GUILHERME LOBATO MENEZES; LOURIVAL VILELA, CPAC; ANGELA MARIA QUINTÃO LANA. |
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Título: |
Methane emissions and milk yields from zebu cows under integrated systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Livestock Science, v. 263, 105038, 2022. |
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DOI: |
https://doi.org/10.1016/j.livsci.2022.105038 |
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Idioma: |
Inglês |
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Conteúdo: |
Integrated systems are technologies that potentially increase animal production and environmental preservation, but the effect of these systems on the efficiency and methane emissions of dairy cows is still unknown. This study aimed to compare enteric methane emissions, dry matter intake and performance of grazing dairy cows in integrated systems in the Brazilian Cerrado biome, i.e., crop-livestock integration (CLI) or crop-livestock-forest integration (CLFI). Eighteen Holstein-Zebu cows were randomly assigned to the two production systems (n = 9 for each system) based on Monbasa pasture (Megathyrsus maximus cv. Mombaça; Syn. Panicum maximum) under rotational stocking management. Herbage allowance ranged from 12 to 14% body weight, and cows were supplemented with concentrated feed according to milk yield. Herbage samples were collected by simulated grazing to determine nutritional value. Milk yield was determined weekly. Herbage intake was estimated from fecal output and indigestibility of the pasture dry matter. Fecal output was estimated by the external indicator LIPE®, and dry matter digestibility was estimated by the internal indicator NDFi. Enteric methane emissions were estimated by the SF6 tracer gas technique. Data were collected in three sampling periods to characterize the rainy season, the transition from the rainy season to the dry season and the dry season. Data were analyzed in split plots, with animals within the system as the plot and seasons as the subplot. Statistical significance was considered at P < 0.05. The herbage crude protein content was 35.9% higher on average in the CLFI than in the CLI. In vitro dry matter digestibility was 16.7% lower in the CLI than in the CLFI in the rainy season. Milk yield and feed efficiency were similar between systems and seasons. The total dry matter intake in the rainy season was 34.6% higher in the CLFI than in the CLI. The energy loss, production and yield of methane were 29.8%, 35.0% and 31.3%, respectively, lower in the rainy season than in the other seasons. Enteric methane emissions, milk yield and feed efficiency were similar between the integrated CLI and CLFI systems in the Brazilian Cerrado region. MenosIntegrated systems are technologies that potentially increase animal production and environmental preservation, but the effect of these systems on the efficiency and methane emissions of dairy cows is still unknown. This study aimed to compare enteric methane emissions, dry matter intake and performance of grazing dairy cows in integrated systems in the Brazilian Cerrado biome, i.e., crop-livestock integration (CLI) or crop-livestock-forest integration (CLFI). Eighteen Holstein-Zebu cows were randomly assigned to the two production systems (n = 9 for each system) based on Monbasa pasture (Megathyrsus maximus cv. Mombaça; Syn. Panicum maximum) under rotational stocking management. Herbage allowance ranged from 12 to 14% body weight, and cows were supplemented with concentrated feed according to milk yield. Herbage samples were collected by simulated grazing to determine nutritional value. Milk yield was determined weekly. Herbage intake was estimated from fecal output and indigestibility of the pasture dry matter. Fecal output was estimated by the external indicator LIPE®, and dry matter digestibility was estimated by the internal indicator NDFi. Enteric methane emissions were estimated by the SF6 tracer gas technique. Data were collected in three sampling periods to characterize the rainy season, the transition from the rainy season to the dry season and the dry season. Data were analyzed in split plots, with animals within the system as the plot and seasons as the subplot. ... Mostrar Tudo |
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Palavras-Chave: |
Crop-livestock integration; Crop-livestock-forest integration; Eficência alimentar; Gás de efeito estufa; Integração lavoura pecuária floresta; Pastagem tropical; Sistema integado. |
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Thesagro: |
Efeito Estufa; Eficiência Nutricional; Gado Leiteiro; Gado Zebu; Gás; Pastagem. |
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Thesaurus Nal: |
Greenhouse gases; Tropical pastures. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03389naa a2200397 a 4500
001 2145413
005 2022-08-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2022.105038$2DOI
100 1 $aGUIMARAES JUNIOR, R.
245 $aMethane emissions and milk yields from zebu cows under integrated systems.$h[electronic resource]
260 $c2022
520 $aIntegrated systems are technologies that potentially increase animal production and environmental preservation, but the effect of these systems on the efficiency and methane emissions of dairy cows is still unknown. This study aimed to compare enteric methane emissions, dry matter intake and performance of grazing dairy cows in integrated systems in the Brazilian Cerrado biome, i.e., crop-livestock integration (CLI) or crop-livestock-forest integration (CLFI). Eighteen Holstein-Zebu cows were randomly assigned to the two production systems (n = 9 for each system) based on Monbasa pasture (Megathyrsus maximus cv. Mombaça; Syn. Panicum maximum) under rotational stocking management. Herbage allowance ranged from 12 to 14% body weight, and cows were supplemented with concentrated feed according to milk yield. Herbage samples were collected by simulated grazing to determine nutritional value. Milk yield was determined weekly. Herbage intake was estimated from fecal output and indigestibility of the pasture dry matter. Fecal output was estimated by the external indicator LIPE®, and dry matter digestibility was estimated by the internal indicator NDFi. Enteric methane emissions were estimated by the SF6 tracer gas technique. Data were collected in three sampling periods to characterize the rainy season, the transition from the rainy season to the dry season and the dry season. Data were analyzed in split plots, with animals within the system as the plot and seasons as the subplot. Statistical significance was considered at P < 0.05. The herbage crude protein content was 35.9% higher on average in the CLFI than in the CLI. In vitro dry matter digestibility was 16.7% lower in the CLI than in the CLFI in the rainy season. Milk yield and feed efficiency were similar between systems and seasons. The total dry matter intake in the rainy season was 34.6% higher in the CLFI than in the CLI. The energy loss, production and yield of methane were 29.8%, 35.0% and 31.3%, respectively, lower in the rainy season than in the other seasons. Enteric methane emissions, milk yield and feed efficiency were similar between the integrated CLI and CLFI systems in the Brazilian Cerrado region.
650 $aGreenhouse gases
650 $aTropical pastures
650 $aEfeito Estufa
650 $aEficiência Nutricional
650 $aGado Leiteiro
650 $aGado Zebu
650 $aGás
650 $aPastagem
653 $aCrop-livestock integration
653 $aCrop-livestock-forest integration
653 $aEficência alimentar
653 $aGás de efeito estufa
653 $aIntegração lavoura pecuária floresta
653 $aPastagem tropical
653 $aSistema integado
700 1 $aOLIVEIRA, A. F. de
700 1 $aFERREIRA, I. C.
700 1 $aPEREIRA, L. G. R.
700 1 $aTOMICH, T. R.
700 1 $aMENEZES, G. L.
700 1 $aVILELA, L.
700 1 $aLANA, A. M. Q.
773 $tLivestock Science$gv. 263, 105038, 2022.
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Embrapa Cerrados (CPAC) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
15/01/2014 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PEREIRA, U. de P.; SANTOS, A. R. dos; HASSAN, S. S.; ABURJAILE, F. F.; SOARES, S. de C.; RAMOS, R. T. J.; CARNEIRO, A. R.; GUIMARÃES, L. C.; ALMEIDA, S. S. de; DINIZ, C. A. A.; BARBOSA, M. S.; SÁ, P. G. de; ALI, A.; BAKHTIAR, S. M.; DORELLA, F. A.; ZERLOTINI, A.; ARAÚJO, F. M. G.; LEITE, L. R.; OLIVEIRA, G.; MIYOSHI, A.; SILVA, A.; AZEVEDO, V.; FIGUEIREDO, H. C. P. |
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Afiliação: |
ULISSES DE PÁDUA PEREIRA, UFMG, Ufla; ANDERSON RODRIGUES DOS SANTOS, UFMG; SYED SHAH HASSAN, UFMG; FLÁVIA FIGUEIRA ABURJAILE, UFMG; SIOMAR DE CASTRO SOARES, UFMG; ROMMEL THIAGO JUCÁ RAMOS, UFPA; ADRIANA RIBEIRO CARNEIRO, UFPA; LUÍS CARLOS GUIMARÃES, UFMG; SINTIA SILVA DE ALMEIDA, UFMG; CARLOS AUGUSTO ALMEIDA DINIZ, UFMG; MARIA SILVANIRA BARBOSA, UFPA; PABLO GOMES DE SÁ, UFPA; AMJAD ALI, UFMG; SYEDA MARRIAM BAKHTIAR, UFMG; FERNANDA ALVES DORELLA, UFMG; ADHEMAR ZERLOTINI NETO, Fiocruz, CNPTIA; FLÁVIO MARCOS GOMES ARAÚJO, Fiocruz; LAURA RABELO LEITE, Fiocruz; GUILHERME OLIVEIRA, Fiocruz; ANDERSON MIYOSHI, UFMG; ARTUR SILVA, UFPA; VASCO AZEVEDO, UFMG; HENRIQUE CÉSAR PEREIRA FIGUEIREDO, UFMG. |
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Título: |
Complete genome sequence of Streptococcus agalactiae strain SA20-06, a fish pathogen associated to meningoencephalitis outbreaks. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Standards in Genomic Sciences, v. 8, n. 2, p.188-197, 2013. |
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DOI: |
10.4056/sigs.3687314 |
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Idioma: |
Inglês |
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Conteúdo: |
Streptococcus agalactiae (Lancefield group B; GBS) is the causative agent of meningoencephalitis in fish, mastitis in cows, and neonatal sepsis in humans. Meningoencephalitis is a major health problem for tilapia farming and is responsible for high economic losses worldwide. Despite its importance, the genomic characteristics and the main molecular mechanisms involved in virulence of S. agalactiae isolated from fish are still poorly understood. Here, we present the genomic features of the 1,820,886 bp long complete genome sequence of S. agalactiae SA20-06 isolated from a meningoencephalitis outbreak in Nile tilapia (Oreochromis niloticus) from Brazil, and its annotation, consisting of 1,710 protein-coding genes (excluding pseudogenes), 7 rRNA operons, 79 tRNA genes and 62 pseudogenes. |
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Palavras-Chave: |
Meningoencefalite; Patógeno em peixe; Sequenciamento de genoma. |
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Thesaurus NAL: |
Genome; Meningoencephalitis; Streptococcus agalactiae. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02169naa a2200469 a 4500
001 1976152
005 2020-01-08
008 2013 bl uuuu u00u1 u #d
024 7 $a10.4056/sigs.3687314$2DOI
100 1 $aPEREIRA, U. de P.
245 $aComplete genome sequence of Streptococcus agalactiae strain SA20-06, a fish pathogen associated to meningoencephalitis outbreaks.$h[electronic resource]
260 $c2013
520 $aStreptococcus agalactiae (Lancefield group B; GBS) is the causative agent of meningoencephalitis in fish, mastitis in cows, and neonatal sepsis in humans. Meningoencephalitis is a major health problem for tilapia farming and is responsible for high economic losses worldwide. Despite its importance, the genomic characteristics and the main molecular mechanisms involved in virulence of S. agalactiae isolated from fish are still poorly understood. Here, we present the genomic features of the 1,820,886 bp long complete genome sequence of S. agalactiae SA20-06 isolated from a meningoencephalitis outbreak in Nile tilapia (Oreochromis niloticus) from Brazil, and its annotation, consisting of 1,710 protein-coding genes (excluding pseudogenes), 7 rRNA operons, 79 tRNA genes and 62 pseudogenes.
650 $aGenome
650 $aMeningoencephalitis
650 $aStreptococcus agalactiae
653 $aMeningoencefalite
653 $aPatógeno em peixe
653 $aSequenciamento de genoma
700 1 $aSANTOS, A. R. dos
700 1 $aHASSAN, S. S.
700 1 $aABURJAILE, F. F.
700 1 $aSOARES, S. de C.
700 1 $aRAMOS, R. T. J.
700 1 $aCARNEIRO, A. R.
700 1 $aGUIMARÃES, L. C.
700 1 $aALMEIDA, S. S. de
700 1 $aDINIZ, C. A. A.
700 1 $aBARBOSA, M. S.
700 1 $aSÁ, P. G. de
700 1 $aALI, A.
700 1 $aBAKHTIAR, S. M.
700 1 $aDORELLA, F. A.
700 1 $aZERLOTINI, A.
700 1 $aARAÚJO, F. M. G.
700 1 $aLEITE, L. R.
700 1 $aOLIVEIRA, G.
700 1 $aMIYOSHI, A.
700 1 $aSILVA, A.
700 1 $aAZEVEDO, V.
700 1 $aFIGUEIREDO, H. C. P.
773 $tStandards in Genomic Sciences$gv. 8, n. 2, p.188-197, 2013.
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