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1601. | | BORGONOVI, R. A.; GIACOMINI, S. F.; SANTOS, H. L. dos; FERREIRA, A. da S; WAQUIL, J. M.; SILVA, J. B. da; CRUZ, I. Recomendações para o plantio do sorgo sacarino. Lavoura, Rio de Janeiro, p. 38-42, set./out. 1982. Biblioteca(s): Embrapa Milho e Sorgo. |
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1605. | | REZENDE, R. M.; PASQUALOTTO, A. T.; REZENDE, J. C. de; CARVALHO, A. M. de; CARVALHO, G. R.; TASSONE, G. A. T.; FERREIRA, A. D. Reação a doenças e produtividade de progênies de cafeeiro oriundas do cruzamento entre híbrido de Timor e Catuaí. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 8., 2013, Salvador. Sustentabilidade e inclusão Social. Brasília, DF: Embrapa Café, 2013. 5 p. Título em inglês: Reaction to diseases and yield of coffee plant progenies from crossing between Timor hybrid and Catuaí. Biblioteca(s): Embrapa Café. |
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1606. | | GOULART, I. L.; FERREIRA, A. de M.; RAMOS, A. A.; VIANA, J. H. M.; SA, W. F. de; DUCHEMIN, S.; NOGUEIRA, L. A. G. Reposição anual de rebanhos F1 (Hol x Gir) através de embriões produzidos in vitro. In: CONGRESSO BRASILEIRO DE REPRODUÇÃO ANIMAL, 18., 2009, Belo Horizonte. Anais... Belo Horizonte: CBRA, 2009. Biblioteca(s): Embrapa Gado de Leite. |
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1607. | | GOULART, I. L.; FERREIRA, A. M.; CAMARGO, L. S. de A.; SINEDINO, L. D. P.; DOURADO, A. P.; NOGUEIRA, L. A. G. Reposição de rebanho girolando com embriões F1 produzidos in vitro com oócitos de vacas gir e holandesas utilizando sêmen sexado. Acta Scientiae Veterinariae, v. 38, p. 378, 2010. Edição dos resumos da 24a Reunião Anual da Sociedade Brasileira de Tecnologia de Embriões, Porto de Galinhas, 2010. Biblioteca(s): Embrapa Gado de Leite. |
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1608. | | CAMARGO, L. S. de A.; FERREIRA, A. DE M.; VIANA, J. H. M.; SA, W. F. DE; CARVALHO, B. C. de; IGUMA, L. T. Reprodução. In: CAMPOS, O. F. de; MIRANDA, J. E. C. de (ed.). Gado de leite: o produtor pergunta, a Embrapa responde. 3. ed. rev. ampl. Brasília, DF: Embrapa; Juiz de Fora: Embrapa Gado de Leite, 2012. p. 161-184. (Coleção 500 perguntas 500 respostas). Biblioteca(s): Embrapa Gado de Leite. |
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1610. | | MARÇAL, T. de S.; GUILHEN, J. H. S.; OLIVEIRA, W. B. dos S.; FERREIRA, M. F. da S.; RESENDE, M. D. V. de; FERREIRA, A. Repeatability of biometric characteristics of juçara palm fruit. Bioscience Journal, Uberlândia, v. 32, n. 4, p. 890-898, July/Aug. 2016. Biblioteca(s): Embrapa Florestas. |
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1611. | | FERREIRA, A.; BARBOSA, M. H. P.; CRUZ, C. D.; HOFFMANN, H. P.; VIEIRA, M. A. S.; BASSINELLO, A. I.; SILVA, M. F. da. Repetibilidade e número de colheitas para seleção de clones de cana-de-açúcar. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 8, p. 761-767, ago. 2005 Título em inglês: Repeatability and harvest numbers in selecting sugarcane clones. Biblioteca(s): Embrapa Unidades Centrais. |
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1612. | | GOULART, I. L.; FERREIRA, A. M.; CAMARGO, L. S. de A.; SINEDINO, L. D. P.; DOURADO, A. P.; NOGUEIRA, L. A. G. Replacement of girolando herd with f1 embryo produced in vitro with oocytes from Gyr and holstein cows using semen. Acta Scientiae Veterinariae, v. 38, p. s755, 2010. Supl.2.
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1613. | | PACHECO, C. A. P.; FERREIRA, A. da S.; CASELA, C. R.; GUIMARAES, P. E. de O.; GAMA, E. E. G. e; MEIRELLES, W. F.; PARENTONI, S. N. Reciclagem de duas linhagens elites para resistência ao Colletotrichum graminicola. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 4., 2007, São Lourenço. Melhoramento de plantas e agronegócio: Anais... Lavras: UFLA: SBMP, 2007. 1 CD-ROM. Biblioteca(s): Embrapa Milho e Sorgo. |
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1614. | | WASSERMAN, M. A.; SILVA, M. M.; PEREZ, D. V.; ROCHEDO, E. R.; FERREIRA, A. C. M.; MEDEIROS, V.; PADILHA, F. P. Radiological impact of soil biosolid amendment on maize grown in a Brazilian Ferralsol. Radioprotection, v. 44, n. 5, p. 831-836, 2009. Biblioteca(s): Embrapa Solos. |
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1615. | | SIMIONATO, U. R.; FERREIRA, A. S.; WERNER, F.; BABOLIM, R. C. G.; IWASAKI, G. S.; PROCOPIO, S. O.; DEBIASI, H.; FRANCHINI, J. C.; BALBINOT JUNIOR, A. A. Redução do espaçamento entre fileiras na produtividade de duas cultivares de soja sob diferentes densidades de semeadura. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 9., 2014, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2014. p. 82-88. Biblioteca(s): Embrapa Soja. |
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1616. | | FERREIRA, A.; PAULA, F. R. de; FERRAZ, S. F. de B.; GERHARD, P.; KASHIWAQUI, E. A. L.; CYRINO, J. E. P.; MARTINELLI, L. A. Riparian coverage affects diets of characids in neotropical streams. Ecology of Freshwater Fish, v. 21, n. 1, p. 12-22, Jan. 2012. Biblioteca(s): Embrapa Amazônia Oriental. |
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1618. | | FERREIRA, A. L.; MATOS, L. R. de; MATOS, L. R. de; FILIPPI, M. C. C. de; BARBOSA, E. T.; PINHEIRO, P. V. Rizobactérias multifuncionais atuam também no controle da mosca-branca. In: SEMINÁRIO JOVENS TALENTOS, 13., 2019, Santo Antônio de Goiás. Resumos... Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2019. p. 23. Biblioteca(s): Embrapa Arroz e Feijão. |
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1619. | | FERREIRA, A. L.; MATOS, L. R. de; RIBEIRO, W. R.; FILIPPI, M. C. C. de; BARBOSA, E. T.; PINHEIRO, P. V. Rizobactérias multi-funcionais atuam também no controle da mosca branca. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 16., 2019, Londrina. Controle biológico: da academia ao campo, rumo à sustentabilidade: anais. Londrina: Sociedade Entomológica do Brasil, 2019. p. 58. Siconbiol. Biblioteca(s): Embrapa Arroz e Feijão. |
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1620. | | PIZETTA, C. S. R.; RIBEIRO, W. R.; FERREIRA, A. L.; MOURA, M. da C.; BONFIM, K.; PINHEIRO, P. V.; CABRAL, G. B.; ARAGÃO, F. J. L. RNA interference-mediated tolerance to whitefly (Bemisia tabaci) in genetically engineered tomato. Plant Cell, Tissue and Organ Culture, v. 148, p. 281-291, 2022. Na publicação: Kenny Bonfim. Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Semiárido. |
Data corrente: |
21/09/2020 |
Data da última atualização: |
22/09/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
RIBEIRO, R. S.; RODRIGUES, J. P. P.; MAURÍCIO, R. M.; BORGES, A. L. C. C.; REIS E SILVA, R.; BERCHIELLI, T. T.; VALADARES FILHO, S. C.; MACHADO, F. S.; CAMPOS, M. M.; FERREIRA, A. L.; GUIMARAES JUNIOR, R.; AZEVÊDO, J. A. G.; SANTOS, R. D. dos; TOMICH, T. R.; PEREIRA, L. G. R. |
Afiliação: |
FERNANDA SAMARINI MACHADO, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; ROBERTO GUIMARAES JUNIOR, CPAC; RAFAEL DANTAS DOS SANTOS, CPATSA; THIERRY RIBEIRO TOMICH, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL. |
Título: |
Predicting enteric methane production from cattle in the tropics. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Animal, 2020. |
Páginas: |
15 p. |
Idioma: |
Inglês Português |
Conteúdo: |
Accurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-out cross-validation. The Intergovernmental Panel on Climate Change (2006) Tier 2 method performed better for GEN and GCNL than LAC and overpredicted CH4 production for all datasets. Increasing complexity of the newly developed models resulted in greater performance. The GCNL had a greater number of equations with expanded possibilities to correct for diet characteristics such as EE and NDF concentrations and dietary proportion of concentrate. For the LAC dataset, equations based on intake and animal characteristics were developed. The equations developed in the present study can be useful for accurate and precise estimation of CH4 emissions from cattle in tropical conditions. These equations could improve accuracy of greenhouse gas inventories for tropical countries. The results provide a better understanding of the dietary and animal characteristics that influence the production of enteric CH4 in tropical production systems. MenosAccurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-o... Mostrar Tudo |
Palavras-Chave: |
Carne bovina; Emissões gases. |
Thesagro: |
Bovino; Carne; Digestibilidade; Efeito Estufa; Gado; Gado Leiteiro; Gás; Laticínio; Metano; Nutrição Animal. |
Thesaurus NAL: |
Animal nutrition; Dairy cattle. |
Categoria do assunto: |
-- L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 03649naa a2200469 a 4500 001 2125038 005 2020-09-22 008 2020 bl uuuu u00u1 u #d 100 1 $aRIBEIRO, R. S. 245 $aPredicting enteric methane production from cattle in the tropics.$h[electronic resource] 260 $c2020 300 $a15 p. 520 $aAccurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-out cross-validation. The Intergovernmental Panel on Climate Change (2006) Tier 2 method performed better for GEN and GCNL than LAC and overpredicted CH4 production for all datasets. Increasing complexity of the newly developed models resulted in greater performance. The GCNL had a greater number of equations with expanded possibilities to correct for diet characteristics such as EE and NDF concentrations and dietary proportion of concentrate. For the LAC dataset, equations based on intake and animal characteristics were developed. The equations developed in the present study can be useful for accurate and precise estimation of CH4 emissions from cattle in tropical conditions. These equations could improve accuracy of greenhouse gas inventories for tropical countries. The results provide a better understanding of the dietary and animal characteristics that influence the production of enteric CH4 in tropical production systems. 650 $aAnimal nutrition 650 $aDairy cattle 650 $aBovino 650 $aCarne 650 $aDigestibilidade 650 $aEfeito Estufa 650 $aGado 650 $aGado Leiteiro 650 $aGás 650 $aLaticínio 650 $aMetano 650 $aNutrição Animal 653 $aCarne bovina 653 $aEmissões gases 700 1 $aRODRIGUES, J. P. P. 700 1 $aMAURÍCIO, R. M. 700 1 $aBORGES, A. L. C. C. 700 1 $aREIS E SILVA, R. 700 1 $aBERCHIELLI, T. T. 700 1 $aVALADARES FILHO, S. C. 700 1 $aMACHADO, F. S. 700 1 $aCAMPOS, M. M. 700 1 $aFERREIRA, A. L. 700 1 $aGUIMARAES JUNIOR, R. 700 1 $aAZEVÊDO, J. A. G. 700 1 $aSANTOS, R. D. dos 700 1 $aTOMICH, T. R. 700 1 $aPEREIRA, L. G. R. 773 $tAnimal, 2020.
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