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8. | | OLIVEIRA, C. A. de; MUZZI, M. R. S.; PURCINO, H. A.; MARRIEL, I. E.; SÁ, N. M. H. de. Decomposition of Arachis pintoi and Hyparrhenia rufa litters in monoculture and intercropped systems under lowland soil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 38, n. 9, p. 1089-1095, set. 2003 ítulo em português: Decomposição da serrapilheira de Arachis pintoi e Hyparrhenia rufa em sistemasde monocultura e consórcio sob solo de várzea. Biblioteca(s): Embrapa Algodão; Embrapa Unidades Centrais. |
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9. | | OLIVEIRA-PAIVA, C. A.; MUZZI, M. R. S.; PURCINO, H. A.; MARRIEL, I. E.; SA, N. M. H. de. Decomposition of Arachis pintoi and Hyparrhenia rufa litters in monoculture and intercropped systems under lowland soil. Pesquisa Agropecuária Brasileira, Brasília, v. 38, n. 9, p. 1089-1095, set. 2003. Biblioteca(s): Embrapa Milho e Sorgo. |
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10. | | OLIVEIRA JUNIOR, C. S.; CARNEIRO, J. A.; PURCINO, H.; VIANNA, M. C.; VARGAS, M. A.; SA, N. M. H de. Ocorrencia e efetividade de fixacao de N2 de estirpes nativas de rizobio associadas a Arachis pintoi, presentes em solos de cerrado. In: CONGRESSO BRASILEIRO DE CIENCIA DO SOLO, 26., 1997, Rio de Janeiro. Informacao, globalizacao, uso do solo: anais. Rio de Janeiro: SBCS, 1997. p.38-41. Biblioteca(s): Embrapa Cerrados. |
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11. | | OLIVEIRA-PAIVA, C. A.; VASCONCELLOS, C. A.; MARRIEL, I. E.; PEREIRA FILHO, I. A.; SA, N. M. H. de. Efeito da temperatura sobre a fixação de N2 do feijoeiro. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 23.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 7.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 5.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 2., 1998. Caxambu, MG. FertBIO 98: resumos. Lavras: UFLA: SBCS: SBM, 1998. p. 181. Biblioteca(s): Embrapa Milho e Sorgo. |
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12. | | SA, N. M. H. de; SILVA-KATTAH, L da; SELDIN, L.; VASCONCELOS, M. J. V.; PAIVA, E. Genomic heterogeneity within bean nodulating Rhizobium strains isolated from cerrado soils. Soil Biology and Biochemistry, Oxford, v. 29, n. 5/6, p. 1011-1014, 1997. Biblioteca(s): Embrapa Milho e Sorgo. |
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13. | | SA, N. M. H. de; SCOTTI, M. R. M. M. L.; PAIVA, E.; FRANCO, A. A.; DOBEREINER, J. Selection and characterization of Rhizobium spp. strains stable and capable in fixing nitrogen in bean (Phaseolus vulgaris L.). Revista de Microbiologia, São Paulo, v. 24, n. 1, p. 38-48, 1993. Biblioteca(s): Embrapa Milho e Sorgo. |
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14. | | OLIVEIRA, I. A. de; VASCONCELLOS, M. J.; SELDIN, L.; PAIVA, E.; VARGAS, M. A.; SA, N. M. H. de. Random amplified polymorphic DNA analysis of effective Rhizobium sp. associated with beans cultivated in brazilian cerrado soils. Brazilian Journal of Microbiology, Sao Paulo, v. 31, p. 39-44, 2000. Biblioteca(s): Embrapa Cerrados. |
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15. | | OLIVEIRA, I. A. de; VASCONCELOS, M. J.; SELDIN, L.; PAIVA, E.; VARGAS, M. A.; SA, N. M. H. de. Random amplified polymorphic DNA analysis of effective Rhizobium sp. associated with beans cultivated in Brazilian cerrado soils. Brazilian Journal of Microbiology, São Paulo, v.31, n. 1, p. 39-44, 2000. Biblioteca(s): Embrapa Milho e Sorgo. |
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16. | | OLIVEIRA-PAIVA, C. A.; SCHAFFERT, R. E.; SÁ, N. M. H. de; GOMES, E. A.; MARRIEL, I. E.; MUZZI, M. R. S.; RAPOSEIRAS, R.; LANA, U. G. de P.; GUIMARAES, C. T.; ALVES, V. M. C. Analysis of bacterial and mycorrhizal deversity in the rhizosphere of maize lines contrasting in phosphorus efficiency, using denaturing gradient gel electrophoresis. In: INTERNATIONAL PLANT NUTRITION COLLOQUIUM, 15., 2005, Beijing, China. Proceedings... Beijing: Tsinghua University, 2005. p. 856-857. Biblioteca(s): Embrapa Milho e Sorgo. |
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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
05/04/2021 |
Data da última atualização: |
10/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CÔNSOLO, N. R. B.; BUARQUE, V. L. M.; SILVA, J.; POLETI, M. D.; BARBOSA, L. C. G. S.; HIGUERA-PADILLA, A.; GOMEZ, J. F. M.; COLNAGO, L. A.; GERRARD, D. E.; SARAN NETO, A.; SILVA, S. L. |
Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
Título: |
Muscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Animal Feed Science and Technology, v. 271, 114757, 2021. |
ISSN: |
0377-8401 |
DOI: |
https://doi.org/10.1016/j.anifeedsci.2020.114757 |
Idioma: |
Inglês |
Conteúdo: |
Identification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by importance of concentration of citrate, isocitrate, glucose-6-phosphate, nicotinamide adenine dinucleotide + hydrogen and creatine phosphate (in liver) and choline, glycine, glycerol, malonate, glucose-6- phosphate and 3-hydroxybutyrate (in muscle). Moreover, differences on protein metabolism, MenosIdentification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by imp... Mostrar Tudo |
Palavras-Chave: |
Muscle; Residual feed intake. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02667naa a2200289 a 4500 001 2131049 005 2022-06-10 008 2021 bl uuuu u00u1 u #d 022 $a0377-8401 024 7 $ahttps://doi.org/10.1016/j.anifeedsci.2020.114757$2DOI 100 1 $aCÔNSOLO, N. R. B. 245 $aMuscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle.$h[electronic resource] 260 $c2021 520 $aIdentification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by importance of concentration of citrate, isocitrate, glucose-6-phosphate, nicotinamide adenine dinucleotide + hydrogen and creatine phosphate (in liver) and choline, glycine, glycerol, malonate, glucose-6- phosphate and 3-hydroxybutyrate (in muscle). Moreover, differences on protein metabolism, 653 $aMuscle 653 $aResidual feed intake 700 1 $aBUARQUE, V. L. M. 700 1 $aSILVA, J. 700 1 $aPOLETI, M. D. 700 1 $aBARBOSA, L. C. G. S. 700 1 $aHIGUERA-PADILLA, A. 700 1 $aGOMEZ, J. F. M. 700 1 $aCOLNAGO, L. A. 700 1 $aGERRARD, D. E. 700 1 $aSARAN NETO, A. 700 1 $aSILVA, S. L. 773 $tAnimal Feed Science and Technology$gv. 271, 114757, 2021.
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