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| Registros recuperados : 44 | |
| Registros recuperados : 44 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
28/09/2022 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
GÓMEZ, J. F. M.; CÔNSOLO, N. R. B.; ANTONELO, D. S.; BELINE, M.; GAGAOUA, M.; HIGUERA-PADILLA, A.; COLNAGO, L. A.; GERRARD, D. E.; SILVA, S. L. |
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Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
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Título: |
Impact of cattle feeding strategy on the beef metabolome. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Metabolites, v. 12, 640, 2022. |
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Páginas: |
14 p. |
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ISSN: |
2218-1989 |
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DOI: |
https://doi.org/10.3390/metabo12070640 |
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Idioma: |
Inglês |
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Conteúdo: |
The present study explored changes in the meat metabolome of animals subjected to Different finishing systems and growth rates. Thirty-six Angus × Nellore crossbred steers were used in a completely randomized design with four treatments: (1) feedlot system with high average daily gain (ADG; FH); (2) feedlot system with low ADG (FL); (3) pasture system with high ADG (PH); and (4) pasture system with low ADG (PL). After harvest and chilling, Longissimus thoracis (LT) muscle samples were taken for metabolite profile analysis using nuclear magnetic resonance. Spectrum was analyzed using chenomx software, and multi- and mega-variate data analyses were performed. The PLS-DA showed clear separation between FH and PL groups and overlap among treatments with different finishing systems but similar for matching ADG (FL and PH) treatments. Using a VIP cut-off of around 1.0, ATP and fumarate were shown to be greater in meat from PL cattle, while succinate, leucine, AMP, glutamate, carnosine, inosine, methionine, G1P, and choline were greater in meat from FH. Comparing FL and PH treatments, glutamine, carnosine, urea, NAD+, malonate,lactate, isoleucine, and alanine were greater in the meat of PH cattle, while G6P and betaine were elevated in that of FL cattle. Relevant pathways were also identified by differences in growth rate (FH versus PL) and finishing system were also noted. Growth rate caused a clear difference in meat metabolism that was highlighted by energy metabolism and associated pathways, while the feeding system tended to alter protein and lipid metabolism. MenosThe present study explored changes in the meat metabolome of animals subjected to Different finishing systems and growth rates. Thirty-six Angus × Nellore crossbred steers were used in a completely randomized design with four treatments: (1) feedlot system with high average daily gain (ADG; FH); (2) feedlot system with low ADG (FL); (3) pasture system with high ADG (PH); and (4) pasture system with low ADG (PL). After harvest and chilling, Longissimus thoracis (LT) muscle samples were taken for metabolite profile analysis using nuclear magnetic resonance. Spectrum was analyzed using chenomx software, and multi- and mega-variate data analyses were performed. The PLS-DA showed clear separation between FH and PL groups and overlap among treatments with different finishing systems but similar for matching ADG (FL and PH) treatments. Using a VIP cut-off of around 1.0, ATP and fumarate were shown to be greater in meat from PL cattle, while succinate, leucine, AMP, glutamate, carnosine, inosine, methionine, G1P, and choline were greater in meat from FH. Comparing FL and PH treatments, glutamine, carnosine, urea, NAD+, malonate,lactate, isoleucine, and alanine were greater in the meat of PH cattle, while G6P and betaine were elevated in that of FL cattle. Relevant pathways were also identified by differences in growth rate (FH versus PL) and finishing system were also noted. Growth rate caused a clear difference in meat metabolism that was highlighted by energy metabolism and associ... Mostrar Tudo |
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Palavras-Chave: |
Feeding system; Growth rate. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146903/1/P-Impact-of-Cattle-Feeding-Strategy-on-the-Beef-Metabolome.pdf
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Marc: |
LEADER 02338naa a2200277 a 4500
001 2146903
005 2024-01-23
008 2022 bl uuuu u00u1 u #d
022 $a2218-1989
024 7 $ahttps://doi.org/10.3390/metabo12070640$2DOI
100 1 $aGÓMEZ, J. F. M.
245 $aImpact of cattle feeding strategy on the beef metabolome.$h[electronic resource]
260 $c2022
300 $a14 p.
520 $aThe present study explored changes in the meat metabolome of animals subjected to Different finishing systems and growth rates. Thirty-six Angus × Nellore crossbred steers were used in a completely randomized design with four treatments: (1) feedlot system with high average daily gain (ADG; FH); (2) feedlot system with low ADG (FL); (3) pasture system with high ADG (PH); and (4) pasture system with low ADG (PL). After harvest and chilling, Longissimus thoracis (LT) muscle samples were taken for metabolite profile analysis using nuclear magnetic resonance. Spectrum was analyzed using chenomx software, and multi- and mega-variate data analyses were performed. The PLS-DA showed clear separation between FH and PL groups and overlap among treatments with different finishing systems but similar for matching ADG (FL and PH) treatments. Using a VIP cut-off of around 1.0, ATP and fumarate were shown to be greater in meat from PL cattle, while succinate, leucine, AMP, glutamate, carnosine, inosine, methionine, G1P, and choline were greater in meat from FH. Comparing FL and PH treatments, glutamine, carnosine, urea, NAD+, malonate,lactate, isoleucine, and alanine were greater in the meat of PH cattle, while G6P and betaine were elevated in that of FL cattle. Relevant pathways were also identified by differences in growth rate (FH versus PL) and finishing system were also noted. Growth rate caused a clear difference in meat metabolism that was highlighted by energy metabolism and associated pathways, while the feeding system tended to alter protein and lipid metabolism.
653 $aFeeding system
653 $aGrowth rate
700 1 $aCÔNSOLO, N. R. B.
700 1 $aANTONELO, D. S.
700 1 $aBELINE, M.
700 1 $aGAGAOUA, M.
700 1 $aHIGUERA-PADILLA, A.
700 1 $aCOLNAGO, L. A.
700 1 $aGERRARD, D. E.
700 1 $aSILVA, S. L.
773 $tMetabolites$gv. 12, 640, 2022.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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