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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/01/1999 |
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Data da última atualização: |
19/01/1999 |
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Autoria: |
SHIMABUKURO, Y. E.; RUDORFF, B. F. T.; PONZONI, F. J. |
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Título: |
A cobertura vegetal vista do espaco: uma ferramenta para a preservacao. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
Floresta e Ambiente, Rio de Janeiro, v.5, n.1, p.195-198, 1998. |
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ISSN: |
1415-0980 |
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Idioma: |
Português |
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Conteúdo: |
As imagens AVHRR do satelite NOAA tem sido amplamente utilizadas para estudos globais devido ao baixo custo, bandas espectrais adequadas e alta resolucao temporal. Os dados do sensor AVHRR (bandas 1 e 2) transformados no Indice de Vegetacao de Diferenca Normalizada (NDVI) sao os podutos mais comuns utilizados no estudo global da cobertura vegetal. As bandas 1 e 2 do AVHRR podem tambem ser transformadas em imagens fracoes (vegetacao, solo e sombra) usando o modelo linear de mistura espectral para aprimorar a distincao entre os diferentes tipos de cobertura vegetal. |
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Palavras-Chave: |
AVHRR images; Imagens AVHRR-NOAA; Vegetal cover. |
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Thesagro: |
Cobertura Vegetal; Sensoriamento Remoto. |
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Thesaurus Nal: |
remote sensing. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01220naa a2200229 a 4500
001 1283214
005 1999-01-19
008 1998 bl uuuu u00u1 u #d
022 $a1415-0980
100 1 $aSHIMABUKURO, Y. E.
245 $aA cobertura vegetal vista do espaco$buma ferramenta para a preservacao.
260 $c1998
520 $aAs imagens AVHRR do satelite NOAA tem sido amplamente utilizadas para estudos globais devido ao baixo custo, bandas espectrais adequadas e alta resolucao temporal. Os dados do sensor AVHRR (bandas 1 e 2) transformados no Indice de Vegetacao de Diferenca Normalizada (NDVI) sao os podutos mais comuns utilizados no estudo global da cobertura vegetal. As bandas 1 e 2 do AVHRR podem tambem ser transformadas em imagens fracoes (vegetacao, solo e sombra) usando o modelo linear de mistura espectral para aprimorar a distincao entre os diferentes tipos de cobertura vegetal.
650 $aremote sensing
650 $aCobertura Vegetal
650 $aSensoriamento Remoto
653 $aAVHRR images
653 $aImagens AVHRR-NOAA
653 $aVegetal cover
700 1 $aRUDORFF, B. F. T.
700 1 $aPONZONI, F. J.
773 $tFloresta e Ambiente, Rio de Janeiro$gv.5, n.1, p.195-198, 1998.
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
03/04/2024 |
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Data da última atualização: |
03/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
FREGULIA, P.; DIAS, R. J. P.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; NEVES, A. L. A. |
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Afiliação: |
PRISCILA FREGULIA, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; ROBERTO JÚNIO PEDROSO DIAS, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; MARIANA MAGALHAES CAMPOS, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; ANDRÉ LUIS ALVES NEVES, UNIVERSITY OF COPENHAGEN. |
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Título: |
Composition of the rumen microbiome and its association with methane yield in dairy cattle raised in tropical conditions. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Molecular Biology Reports, v. 51, 447, 2024. |
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DOI: |
https://doi.org/10.1007/s11033-024-09381-0 |
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Idioma: |
Inglês |
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Conteúdo: |
Background- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found to be differentially more abundant in the Low CH4 group, such as K19341, as opposed to the High CH4 group, where K05352 was more prevalent. This study reinforces that identifying the key functional niches within the rumen is vital to understanding the ecological interplay that drives methane production. MenosBackground- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found ... Mostrar Tudo |
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Palavras-Chave: |
Enteric methane. |
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Thesagro: |
Bovino; Efeito Estufa; Gado Leiteiro; Gás; Metano. |
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Thesaurus NAL: |
Greenhouse gases. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02629naa a2200277 a 4500
001 2163280
005 2024-04-03
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11033-024-09381-0$2DOI
100 1 $aFREGULIA, P.
245 $aComposition of the rumen microbiome and its association with methane yield in dairy cattle raised in tropical conditions.$h[electronic resource]
260 $c2024
520 $aBackground- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found to be differentially more abundant in the Low CH4 group, such as K19341, as opposed to the High CH4 group, where K05352 was more prevalent. This study reinforces that identifying the key functional niches within the rumen is vital to understanding the ecological interplay that drives methane production.
650 $aGreenhouse gases
650 $aBovino
650 $aEfeito Estufa
650 $aGado Leiteiro
650 $aGás
650 $aMetano
653 $aEnteric methane
700 1 $aDIAS, R. J. P.
700 1 $aCAMPOS, M. M.
700 1 $aTOMICH, T. R.
700 1 $aPEREIRA, L. G. R.
700 1 $aNEVES, A. L. A.
773 $tMolecular Biology Reports$gv. 51, 447, 2024.
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