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| Registros recuperados : 356 | |
| 301. |  | MATTA, V. M. da; CABRAL, L. M. C.; DELIZA, R.; GOMES, F. dos S.; SILVA, L. F. M. da; PONTES, S. M.; MATTIETTO, R. de A.; FREITAS, S. P.; DONANGELO, C. M.; DIB TAXI, C. M. A. New products from camu-camu and açaí. Rio de Janeiro: Embrapa Agroindústria de Alimentos, 2009. 1 folder.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Amazônia Oriental. |
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| 302. | | SILVA, G. T. S. T. da; LOPES, O. F.; CATTO, A. C.; PATROCÍNIO, A. O. T.; RODRIGUES, J. E. F. S.; MESQUITA, A.; RIBEIRO, C.; AVANSI JR, W.; SILVA, L. F. da. Long-and short-range structure of SnO2 nanoparticles: Synthesis and photo (electro)catalytic activity. Materials Chemistry and Physics, v. 305, 127989, 2023. 1 - 9| Biblioteca(s): Embrapa Instrumentação. |
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| 303. | | PARADA-PINILLA, M. P.; FERREIRA, M. A.; RONCALLO, J. C.; SANTOS, S. N.; MELO, I. S. de; ASSEF, A. N. B.; WILKE, D. V.; SILVA, L. F.; GARRIDO, L. M.; ARAUJO, W. L.; PADILLA, G. Biopolymer production by halotolerant bacteria isolated from Caatinga biome. Brazilian Journal of Microbiology, v. 52, n. 2, p. 547-559, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 304. | | TAVARES, E. R.; SILVA, L. F. da; MOREY, A. T.; OLIVEIRA, A. G. de; ROCHA, S. P. D. da; RIBEIRO, R. A.; HUNGRIA, M.; THIHARA, I. R. T.; PERUGINI, M. R. E.; YAMAUCHI, L. M.; YAMADA-OGATTA, S. F. Draft Genome Sequence of Vancomycin-Resistant Enterococcus faecium UEL170 (Sequence Type 412), Isolated from a Patient with Urinary Tract Infection in a Tertiary Hospital in Southern Brazil. Microbiology Resource Announcements, v. 8, n. 7, e01365-18, 2019.| Biblioteca(s): Embrapa Soja. |
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| 305. | | ROTTA, P. P.; VALADARES FILHO, S. C.; MACHADO, F. S.; CAMPOS, M. M.; MARCONDES, M. I.; CARVALHO, B. C. de; SILVA, L. F. C.; SILVA, F. A. S.; MENEZES, A. C. B.; SILVA, L. H. R. Dry matter and nutrient intake of pregnant Holstein-gyr cows fed ad libitum or at maintenance level in different stages of gestation. In: BIENNIAL CONFERENCE OF THE AUSTRALIAN SOCIETY OF ANIMAL PRODUCTION, 30., 2014, Canberra. Proceedings... Toowong: The Australian Society of Animal Production, 2014. p. 240.| Biblioteca(s): Embrapa Gado de Leite. |
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| 306. | | COSTA, S. N. de O.; ANDRADE, F. de L.; SILVA, L. F. da; ARAÚJO, P. M.; RIBEIRO, J. M.; CASTRO, J. M. da C. e; MATOS, C. G. G. de; SCORTECCI, K. C.; SALES. K. V. Perfil comparativo do transcriptoma em Psidium guajava L. e Psidium friedrichsthalianum fornece expressão gênica em resposta à resistencia ao Meloidogyne enterolobii. In: CONGRESSO FLUMINENSE DE INICIAÇÃO CIENTÍFICA E TECNOLÓGICA, 15; . CONGRESSO FLUMINENSE DE PÓS-GRADUAÇÃO, 8., 2023, Campos dos Goytacazes. Construindo a universidade do futuro. Campos dos Goytacazes: UENF: ProPPG: Instituto Federal Fluminense: UFF, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 307. | | SILVA, E. F. da; MELO, M. F.; SOMBRA, K. E. S.; SILVA, T. S.; FRETIAS, D. F. de; COSTA, M. E. da; SANTOS, E. P. da S.; SILVA, L. F. da; SERRA, A. P.; NEITZKE, P. R. de M. C. Organic nitrogen in agricultural systems. In: RIGOBELO, E. (Ed.). Nitrogen Fixation. London, UK: IntechOpen, 2019.| Biblioteca(s): Embrapa Gado de Corte. |
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| 308. | | MARTINS, E. C.; VALADARES FILHO, S. DE C.; ROTTA, P. P.; SANTOS, T. R.; MARCONDES, M. I.; MACHADO, F. S.; COSTA E SILVA, L. F.; SILVA, B. C. DA. Medidas biométricas em fetos de vacas leiteiras Holandês x Gir alimentadas ad libitum ou a nível de mantença. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 23., 2013, Foz do Iguaçu. Zootecnia do futuro: Produção Animal Sustentável: [anais]. Foz do Iguaçu: Universidade Estadual do Oeste do Paraná, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 309. | | AZEVEDO, J. A. G.; VALADARES FILHO, S. C.; PINA, D. S.; DETMANN, E.; PEREIRA, L. G. R.; VALADARES, R. F. D.; FERNANDES, H. J.; COSTA E SILVA, L. F.; BENEDETI, P. B. Nutritional diversity of agricultural and agro-industrial by-products for ruminants feeding. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, v. 64, n. 5, p. 1246-1255, 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 310. | | SILVA, L. de O.; BORÉM, R. A. T.; LEITE, G.; SILVA, L. F. M.; VOLPATO, M. M. L.; ALVES, H. M. R.; VIEIRA, T. G. C.; BORÉM, F. M. Mapping of areas for permanent preservation in coffee producing regions of South Minas Gerais, Brazil and identification of land use conflicts In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 2012, San José. Proceedings... [S.l]: Association for Science and Information on Coffee (ASIC), 2012. p. 223. p. 301| Biblioteca(s): Embrapa Café. |
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| 311. | | SILVA, E. de B.; LIMA, R. C.; GAURAT, J. O.; BRAGA NETO, A. M.; CRUZ, M. do C. M. da; BIÉ, D. C. A.; GONÇALVES, E. D.; SILVA, L. F. de O.; MOURA, P. H. A.; SOUZA, S. M. de. Soil acidity levels for blackberry liming recommendation and yield increase. Pesquisa Agropecuária Brasileira, v. 59, e03398, 2024. Título em português: Níveis de acidez do solo para recomendação de calagem e aumento de produção da amora-preta.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 312. | | SILVA, L. F. F. da; CASTRO, A. R. S. de; OLIVEIRA, R. S.; SILVA, S. S. da; PAMPLONA, V. M. S.; BARROS, D. de S.; NOBRE, J. R. C.; NUMAZAWA, S. Seleção de espécie, temperatura e tempo de carbonização na produção de carvão vegetal com resíduos madeireiros da Amazônia. Pesquisa Florestal Brasileira, Colombo, v. 40, e201801737, 2020. 11 p.| Biblioteca(s): Embrapa Florestas. |
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| 313. | | SILVA, B. S. G. DA; TORREZAN, R.; FREITAS, D. de G. C.; OLIVEIRA, A. H.; TEIXEIRA, N. S.; MATTOS, C. T. G. B.; FERREIRA, J. C. S.; SILVA, L. F. M. da; ARAUJO, F. P. de; MATTA, V. M. da. Sensory evaluation of a Caatinga passion fruit based chutney. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS, 11., 2015, Campinas. Ciência de alimentos: qualidade de vida e envelhecimento saudáve. Campinas: SLACA: Unicamp, 2015.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Semiárido. |
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| 314. | | REIS, L. P.; SOUZA, A. L. de; REIS, P. C. M. dos; FREITAS, L. J. M. de; SOARES, C. P. B.; TORRES, C. M. M. E.; SILVA, L. F. da; RUSCHEL, A. R.; RÊGO, L. J. S.; LEITE, H. G. Estimation of mortality and survival of individual trees after harvesting wood using artificial neural networks in the amazon rain forest. Ecological Engineering, v. 112, p. 140-147, Mar. 2018.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 315. | | MENEZES, A. C. B.; VALADARES FILHO, S. DE C.; ROTTA, P. P.; SANTOS, T. R.; MACHADO, F. S.; MARCONDES, M. I.; VILLADIEGO, F. A. C.; COSTA E SILVA, L. F. Deposição de gordura em vacas gestantes (Holandês x Gir) alimentada à nível de mantença ou ad litium. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 23., 2013, Foz do Iguaçu. Zootecnia do futuro: Produção Animal Sustentável: [anais]. Foz do Iguaçu: Universidade Estadual do Oeste do Paraná, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 316. | | SILVA, M. A. S.; RIBEIRO JUNIOR, V.; SILVA, C. M.; SILVA, L. F. C.; DEL VESCO, A. P.; OLIVEIRA JUNIOR, G. M.; CALDERANO, A. A.; TAVERNARI, F. de C.; CORASSA, A.; BRITO, C. O. Effect of mannanrich fractions and a mixture of sodium butyrate and zinc proteinate on performance, intestinal morphometry, and gene expression in broilers. Italian Journal of Animal Science, v. 22, n. 1, p. 728-738, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 317. | | ROTTA, P. P.; VALADARES FILHO, S. C.; MACHADO, F. S.; CAMPOS, M. M.; MARCONDES, M. I.; CARVALHO, B. C. de; SILVA, L. F. C.; MENEZES, A. C. B.; SILVA, L. H. R. Effect of diet and stage of gestation on maternal digestive tract in crossbred (Holstein-Gyr) dairy cattle. In: BIENNIAL CONFERENCE OF THE AUSTRALIAN SOCIETY OF ANIMAL PRODUCTION, 30., 2014, Canberra. Proceedings... Toowong: The Australian Society of Animal Production, 2014. p. 243| Biblioteca(s): Embrapa Gado de Leite. |
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| 318. | | ROTTA, P. P.; VALADARES FILHO, S. C.; SANTOS, T. R.; COSTA E SILVA, L. F.; MARCONDES, M. I.; CAMPOS, M. M.; SILVA, F. A. S.; OLIVEIRA, J. R.; MENEZES, A. C. B.; MARTINS, E. C.; VILLADIEGO, F. A. C. Effects of stage of gestation and diet on dairy cow placentomes. Journal of Dairy Science, v. 96, p. 22, 2013. Suppl. 1. Edição dos abstracts do ASAS Joint Annual Meeting, 2013, Indianápolis. | Biblioteca(s): Embrapa Gado de Leite. |
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| 319. | | ROTTA, P. P.; VALADARES FILHO, S. C.; ENGLE, T. E.; COSTA E SILVA, L. F.; MARCONDES, M. I.; MACHADO, F. S.; GIONBELLI, T. R.; SILVA, B. C.; SILVA, F. A. S. Effects of stage of gestation and feeding regime on intake and apparent total tract digestibility in Holstein x Gyr dairy cows. Journal of Animal Science, v. 92, p. 574, 2014. Supplement. Edição dos abstracts do Joint Annual Meeting, 2014, Kansas City.| Biblioteca(s): Embrapa Gado de Leite. |
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| 320. | | LIMA, R. B. de; FERREIRA, R. L. C.; SILVA, J. A. A. da; GUEDES, M. C.; SILVA, D. A. S. da; OLIVEIRA, C. P. de; RABELO, F. G.; SILVA, L. F. da C. Effect of species and log diameter on the volumetric yield of lumber in northern Brazilian Amazonia: preliminary results. Journal of Sustainable Forestry, v. 38, n. 6, p. 1-17, Jun. 2019.| Biblioteca(s): Embrapa Amapá. |
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| Registros recuperados : 356 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
21/06/2016 |
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Data da última atualização: |
21/06/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
OLIVEIRA, H. R.; SILVA, F. F.; SIQUEIRA, O. H. G. B. D.; SOUZA, N. O.; JUNQUEIRA, V. S.; RESENDE, M. D. V. de; BORQUIS, R. R. A.; RODRIGUES, M. T. |
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Afiliação: |
H. R. Oliveira, UFV; F. F. Silva, UFV; O. H. G. B. D. Siqueira, UFV; N. O. Souza, UFV; V. S. Junqueira, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; R. R. A. Borquis, UNESP; M. T. Rodrigues, UFV. |
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Título: |
Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 94 n. 5, p. 1865-1874, May 2016. |
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DOI: |
10.2527/jas2015-0150 |
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Idioma: |
Inglês |
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Conteúdo: |
We proposed multiple-trait random regression models (MTRRM) combining different functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat genetic evaluation by using Bayesian inference. A total of 3,856 MY, FP, and PP test-day records, measured between 2000 and 2014, from 535 first lactations of Saanen and Alpine goats, including their cross, were used in this study. The initial analyses were performed using the following single-trait random regression models (STRRM): third- and fifth-order Legendre polynomials (Leg3 and Leg5), linear B-splines with 3 and 5 knots, the Ali and Schaeffer function (Ali), and Wilmink function. Heterogeneity of residual variances was modeled considering 3 classes. After the selection of the best STRRM to describe each trait on the basis of the deviance information criterion (DIC) and posterior model probabilities (PMP), the functions were combined to compose the MTRRM. All combined MTRRM presented lower DIC values and higher PMP, showing the superiority of these models when compared to other MTRRM based only on the same function assumed for all traits. Among the combined MTRRM, those considering Ali to describe MY and PP and Leg5 to describe FP (Ali_Leg5_Ali model) presented the best fit. From the Ali_Leg5_Ali model, heritability estimates over time for MY, FP. and PP ranged from 0.25 to 0.54, 0.27 to 0.48, and 0.35 to 0.51, respectively. Genetic correlation between MY and FP, MY and PP, and FP and PP ranged from −0.58 to 0.03, −0.46 to 0.12, and 0.37 to 0.64, respectively. We concluded that combining different functions under a MTRRM approach can be a plausible alternative for joint genetic evaluation of milk yield and milk constituents in goats. MenosWe proposed multiple-trait random regression models (MTRRM) combining different functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat genetic evaluation by using Bayesian inference. A total of 3,856 MY, FP, and PP test-day records, measured between 2000 and 2014, from 535 first lactations of Saanen and Alpine goats, including their cross, were used in this study. The initial analyses were performed using the following single-trait random regression models (STRRM): third- and fifth-order Legendre polynomials (Leg3 and Leg5), linear B-splines with 3 and 5 knots, the Ali and Schaeffer function (Ali), and Wilmink function. Heterogeneity of residual variances was modeled considering 3 classes. After the selection of the best STRRM to describe each trait on the basis of the deviance information criterion (DIC) and posterior model probabilities (PMP), the functions were combined to compose the MTRRM. All combined MTRRM presented lower DIC values and higher PMP, showing the superiority of these models when compared to other MTRRM based only on the same function assumed for all traits. Among the combined MTRRM, those considering Ali to describe MY and PP and Leg5 to describe FP (Ali_Leg5_Ali model) presented the best fit. From the Ali_Leg5_Ali model, heritability estimates over time for MY, FP. and PP ranged from 0.25 to 0.54, 0.27 to 0.48, and 0.35 to 0.51, respectively. Genetic correlation between MY and FP, MY and PP, and FP and PP ranged fro... Mostrar Tudo |
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Palavras-Chave: |
Ali and Schaeffer function; B-splines; Deviance information criterion; Legendre polynomials; Posterior model probabilities; Wilmink function. |
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Thesagro: |
Cabra leiteira; Leite; Método estatístico. |
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Thesaurus NAL: |
Dairy goats; Milk yield; Statistical analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02889naa a2200361 a 4500
001 2047576
005 2016-06-21
008 2016 bl uuuu u00u1 u #d
024 7 $a10.2527/jas2015-0150$2DOI
100 1 $aOLIVEIRA, H. R.
245 $aCombining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models.$h[electronic resource]
260 $c2016
520 $aWe proposed multiple-trait random regression models (MTRRM) combining different functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat genetic evaluation by using Bayesian inference. A total of 3,856 MY, FP, and PP test-day records, measured between 2000 and 2014, from 535 first lactations of Saanen and Alpine goats, including their cross, were used in this study. The initial analyses were performed using the following single-trait random regression models (STRRM): third- and fifth-order Legendre polynomials (Leg3 and Leg5), linear B-splines with 3 and 5 knots, the Ali and Schaeffer function (Ali), and Wilmink function. Heterogeneity of residual variances was modeled considering 3 classes. After the selection of the best STRRM to describe each trait on the basis of the deviance information criterion (DIC) and posterior model probabilities (PMP), the functions were combined to compose the MTRRM. All combined MTRRM presented lower DIC values and higher PMP, showing the superiority of these models when compared to other MTRRM based only on the same function assumed for all traits. Among the combined MTRRM, those considering Ali to describe MY and PP and Leg5 to describe FP (Ali_Leg5_Ali model) presented the best fit. From the Ali_Leg5_Ali model, heritability estimates over time for MY, FP. and PP ranged from 0.25 to 0.54, 0.27 to 0.48, and 0.35 to 0.51, respectively. Genetic correlation between MY and FP, MY and PP, and FP and PP ranged from −0.58 to 0.03, −0.46 to 0.12, and 0.37 to 0.64, respectively. We concluded that combining different functions under a MTRRM approach can be a plausible alternative for joint genetic evaluation of milk yield and milk constituents in goats.
650 $aDairy goats
650 $aMilk yield
650 $aStatistical analysis
650 $aCabra leiteira
650 $aLeite
650 $aMétodo estatístico
653 $aAli and Schaeffer function
653 $aB-splines
653 $aDeviance information criterion
653 $aLegendre polynomials
653 $aPosterior model probabilities
653 $aWilmink function
700 1 $aSILVA, F. F.
700 1 $aSIQUEIRA, O. H. G. B. D.
700 1 $aSOUZA, N. O.
700 1 $aJUNQUEIRA, V. S.
700 1 $aRESENDE, M. D. V. de
700 1 $aBORQUIS, R. R. A.
700 1 $aRODRIGUES, M. T.
773 $tJournal of Animal Science$gv. 94 n. 5, p. 1865-1874, May 2016.
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