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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
06/09/2017 |
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Data da última atualização: |
05/01/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CLARO, F. C.; MATOS, M. de; MAGALHAES, W. L. E. |
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Afiliação: |
Francine C. Claro, UFPR; Mailson de Matos, Estudantes PHD, UFPR; WASHINGTON LUIZ ESTEVES MAGALHAES, CNPF. |
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Título: |
Effect of the hemicellulose in the properties of nanopaper. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON WOOD, FIBRE AND PULPING CHEMISTRY, 19., 2017, Porto Seguro. Proceedings. Viçosa, MG: UFV, 2017. |
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Páginas: |
p. 393-397. |
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Idioma: |
Inglês |
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Conteúdo: |
The foldable, low thermal expansion, and optically transparent are main properties of paper produced with cellulose nanofibers (nanopaper), being able to be used ifl the development of flexible circuit technologies. In this context, this work evaluates the importance of hemicellulose in the properties of nanofiber paper (NFP). The hemicellulose extraction from Pinus sp bleached cellulose pulp was performed with NaOH 17.5% for 1.5 h. Thereafter, the pulp was washed with 8.3% NaOH, then was add 10% acetic acid until neutralization, and washed with water. The nanofibrils were obtained by mechanical defibrillation in a Super Masscoloider Masuko Sangyo mill. The NFP with the grammage of 40 and 50 g/m2 were produced by filtration and drying under pressure. The extraction process reduced 80% of xylose, 40% of mannose and 40% of galactose compared of the bleached cellulosic pulp. The NFPs with around 15% of hemicellulose are homogeneous and transparent, the interstices between the fibers, observed by scanning electron microscopy, are small enough to avoid light scattering, making the cellulosic material transparent. The NFP of 40 and 50 g/m2 had a thickness of 45 J..Im,water absorption of 63 and 34 g/m2, respectively. They did not present air permeability. NFP of 40 and 50 g/m2 without hemicellulose had a thickness of 76 and 87 um, water absorption of 128 g/m2 and air permeability of 202 and 384 s/100 em", respectively. The spaces created by the coalescence of the cellulose nanofibrils after the extraction of the hemicellulose result in the dispersion of the light and consequently in the opacity of the NFP. Extraction of hemicellulose reduced the tensile and bursting strength by 80%. Therefore, hemicellulose acts as an inhibitor of the coalescence of microfibrils, providing adhesion and increase of the mechanical properties. MenosThe foldable, low thermal expansion, and optically transparent are main properties of paper produced with cellulose nanofibers (nanopaper), being able to be used ifl the development of flexible circuit technologies. In this context, this work evaluates the importance of hemicellulose in the properties of nanofiber paper (NFP). The hemicellulose extraction from Pinus sp bleached cellulose pulp was performed with NaOH 17.5% for 1.5 h. Thereafter, the pulp was washed with 8.3% NaOH, then was add 10% acetic acid until neutralization, and washed with water. The nanofibrils were obtained by mechanical defibrillation in a Super Masscoloider Masuko Sangyo mill. The NFP with the grammage of 40 and 50 g/m2 were produced by filtration and drying under pressure. The extraction process reduced 80% of xylose, 40% of mannose and 40% of galactose compared of the bleached cellulosic pulp. The NFPs with around 15% of hemicellulose are homogeneous and transparent, the interstices between the fibers, observed by scanning electron microscopy, are small enough to avoid light scattering, making the cellulosic material transparent. The NFP of 40 and 50 g/m2 had a thickness of 45 J..Im,water absorption of 63 and 34 g/m2, respectively. They did not present air permeability. NFP of 40 and 50 g/m2 without hemicellulose had a thickness of 76 and 87 um, water absorption of 128 g/m2 and air permeability of 202 and 384 s/100 em", respectively. The spaces created by the coalescence of the cellulose nanofibr... Mostrar Tudo |
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Palavras-Chave: |
Air permeability; Bleached pulp; Nanofibra; Permeabilidade do ar. |
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Thesagro: |
Hemicelulose. |
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Thesaurus Nal: |
Hemicellulose; Nanofibers; Tensile strength. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163592/1/2017-Washington-ISWFPC-Effect.pdf
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Marc: |
LEADER 02596nam a2200241 a 4500
001 2075217
005 2018-01-05
008 2017 bl uuuu u00u1 u #d
100 1 $aCLARO, F. C.
245 $aEffect of the hemicellulose in the properties of nanopaper.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON WOOD, FIBRE AND PULPING CHEMISTRY, 19., 2017, Porto Seguro. Proceedings. Viçosa, MG: UFV$c2017
300 $ap. 393-397.
520 $aThe foldable, low thermal expansion, and optically transparent are main properties of paper produced with cellulose nanofibers (nanopaper), being able to be used ifl the development of flexible circuit technologies. In this context, this work evaluates the importance of hemicellulose in the properties of nanofiber paper (NFP). The hemicellulose extraction from Pinus sp bleached cellulose pulp was performed with NaOH 17.5% for 1.5 h. Thereafter, the pulp was washed with 8.3% NaOH, then was add 10% acetic acid until neutralization, and washed with water. The nanofibrils were obtained by mechanical defibrillation in a Super Masscoloider Masuko Sangyo mill. The NFP with the grammage of 40 and 50 g/m2 were produced by filtration and drying under pressure. The extraction process reduced 80% of xylose, 40% of mannose and 40% of galactose compared of the bleached cellulosic pulp. The NFPs with around 15% of hemicellulose are homogeneous and transparent, the interstices between the fibers, observed by scanning electron microscopy, are small enough to avoid light scattering, making the cellulosic material transparent. The NFP of 40 and 50 g/m2 had a thickness of 45 J..Im,water absorption of 63 and 34 g/m2, respectively. They did not present air permeability. NFP of 40 and 50 g/m2 without hemicellulose had a thickness of 76 and 87 um, water absorption of 128 g/m2 and air permeability of 202 and 384 s/100 em", respectively. The spaces created by the coalescence of the cellulose nanofibrils after the extraction of the hemicellulose result in the dispersion of the light and consequently in the opacity of the NFP. Extraction of hemicellulose reduced the tensile and bursting strength by 80%. Therefore, hemicellulose acts as an inhibitor of the coalescence of microfibrils, providing adhesion and increase of the mechanical properties.
650 $aHemicellulose
650 $aNanofibers
650 $aTensile strength
650 $aHemicelulose
653 $aAir permeability
653 $aBleached pulp
653 $aNanofibra
653 $aPermeabilidade do ar
700 1 $aMATOS, M. de
700 1 $aMAGALHAES, W. L. E.
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Registro original: |
Embrapa Florestas (CNPF) |
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Classificação |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
31/08/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
GUEVARA, M.; OLMEDO, G. F.; STELL, E.; YIGINI, Y.; AGUILAR DUARTE, Y.; ARELLANO HERNÁNDEZ, C.; ARÉVALO, G. E.; ARROYO-CRUZ, C. E.; BOLIVAR, A.; BUNNING, S.; BUSTAMANTE CAÑAS, N.; CRUZ-GAISTARDO, C. O.; DAVILLA, F.; DELL ACQUA, M.; ENCINA, A.; FIGUEREDO TACONA, H.; FONTES, F.; HERNÁNDEZ HERRERA, J. A.; IBELLES NAVARRO, A. R.; LOAYZA, V.; MANUELES, A. M.; MENDOZA JARA, F.; OLIVERA, C.; OSORIO HERMOSILLA, R.; PEREIRA, G.; PIETRO, P.; RAMOS, I. A.; REY BRINA, J. C.; RIVERA, R.; RODRÍGUEZ-RODRÍGUEZ, J.; ROOPNARINE, R.; ROSALES IBARRA, A.; ROSALES RIVEIRO, K. A.; SCHULZ, G. A.; SPENCE, A.; VASQUES, G. de M.; VARGAS, R. R.; VARGAS, R. |
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Afiliação: |
MARIO GUEVARA, University of Delaware; GUILLERMO FEDERICO OLMEDO, INTA EEA Mendoza/FAO; EMMA STELL, University of Delaware; YUSUF YIGINI, FAO; YAMELI AGUILAR DUARTE, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Mérida, Mexico; CARLOS ARELLANO HERNÁNDEZ, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico; GLORIA E. ARÉVALO, Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo, Tegucigalpa, Honduras; CARLOS EDUARDO ARROYO-CRUZ, National Commission for the Knowledge and Use of Biodiversity, Mexico City, Mexico; ADRIANA BOLIVAR, Subdirección Agrología, Instituto Geográfico Agustín Codazzi, Bogotá, Colombia; SALLY BUNNING, Oficina Regional de la FAO para América Latina y el Caribe, Santiago de Chile, Chile; NELSON BUSTAMANTE CAÑAS, Servicio Agrícola y Ganadero, Santiago de Chile, Chile; CARLOS OMAR CRUZ-GAISTARDO, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico; FABIAN DAVILLA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay; MARTIN DELL ACQUA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay; ARNULFO ENCINA, Facultad de Ciencias Agrarias de la Universidad Nacional de Asunción, Asunción, Paraguay; HERNÁN FIGUEREDO TACONA, Land Viceministry, Ministry of Rural Development and Land, La Paz, Bolivia; FERNANDO FONTES, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay; JOSÉ ANTONIO HERNÁNDEZ HERRERA, Universidad Autónoma Agraria Antonio Narro Unidad Laguna, Torreón, Mexico; ALEJANDRO ROBERTO IBELLES NAVARRO, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico; VERONICA LOAYZA, Ministerio de Agricultura y Ganaderia, Quito, Ecuador; ALEXANDRA M. MANUELES, Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo, Tegucigalpa, Honduras; FERNANDO MENDOZA JARA, Universidad Nacional Agraria, Managua, Nicaragua; CAROLINA OLIVERA, Oficina Regional de la FAO para América Latina y el Caribe, Bogotá, Colombia; RODRIGO OSORIO HERMOSILLA, Servicio Agrícola y Ganadero, Santiago de Chile, Chile; GONZALO PEREIRA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay; PABLO PIETRO, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay; IVÁN ALEXIS RAMOS, Instituto de Investigación Agropecuaria de Panamá, Panamá; JUAN CARLOS REY BRINA, Sociedad Venezolana de la Ciencia del Suelo, Caracas, Venezuela; RAFAEL RIVERA, Ministerio de Medio Ambiente, Santo Domingo, Dominican Republic; JAVIER RODRÍGUEZ-RODRÍGUEZ, National Commission for the Knowledge and Use of Biodiversity, Mexico City, Mexico; RONALD ROOPNARINE, Department of Natural and Life Sciences, COSTAATT, Port of Spain, Trinidad an Tobago/University of the West Indies, St. Augustine Campus, Trinidad and Tobago; ALBÁN ROSALES IBARRA, Instituto de Innovación en Transferencia y Tecnología Agropecuaria, San José, Costa Rica; KENSET AMAURY ROSALES RIVEIRO, Ministerio de Ambiente y Recursos Naturales de Guatemala, Ciudad Guatemala, Guatemala; GUILLERMO ANDRÉS SCHULZ, INTA CNIA, Buenos Aires, Argentina; ADRIAN SPENCE, International Centre for Environmental and Nuclear Sciences, University of the West Indies, Kingston, Jamaica; GUSTAVO DE MATTOS VASQUES, CNPS; RONALD R. VARGAS, FAO, Vialle de Terme di Caracalla, Rome, Italy; RODRIGO VARGAS, University of Delaware, Department of Plant and Soil Sciences, Newark, DE, USA. |
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Título: |
No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Soil, v. 4, n. 1, p. 173-193, 2018. |
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DOI: |
https://doi.org/10.5194/soil-4-173-2018 |
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Idioma: |
Inglês |
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Conteúdo: |
Country-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capacities for digital soil mapping (DSM).We identified country-specific predictors for SOC and tested the performance of five predictive algorithms for mapping SOC across Latin America. The algorithms included support vector machines (SVMs), random forest (RF), kernel-weighted nearest neighbors (KK), partial least squares regression (PL), and regression kriging based on stepwise multiple linear models (RK). Country-specific training data and SOC predictors (5 x 5 km pixel resolution) were obtained from ISRIC - World Soil Information. Temperature, soil type, vegetation indices, and topographic constraints were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. We compared a large diversity of country-specific datasets and models, and were able to explain SOC variability in a range between ~ 1 and ~ 60 %, with no universal predictive algorithm among countries. A regional (n = 11 268 SOC estimates) ensemble of these five algorithms was able to explain ~ 39% of SOC variability from repeated 5-fold cross-validation.We report a combined SOC stock of 77.8 +- 43.6 Pg (uncertainty represented by the full conditional response of independent model residuals) across Latin America. SOC stocks were higher in tropical forests (30 +- 16.5 Pg) and croplands (13 +- 8.1 Pg). Country-specific and regional ensembles revealed spatial discrepancies across geopolitical borders, higher elevations, and coastal plains, but provided similar regional stocks (77.8 +- 42.2 and 76.8 +- 45.1 Pg, respectively). These results are conservative compared to global estimates (e.g., SoilGrids250m 185.8 Pg, the Harmonized World Soil Database 138.4 Pg, or the GSOCmap-GSP 99.7 Pg). Countries with large area (i.e., Brazil, Bolivia, Mexico, Peru) and large spatial SOC heterogeneity had lower SOC stocks per unit area and larger uncertainty in their predictions. We highlight that expert opinion is needed to set boundary prediction limits to avoid unrealistically high modeling estimates. For maximizing explained variance while minimizing prediction bias, the selection of predictive algorithms for SOC mapping should consider density of available data and variability of country-specific environmental gradients. This study highlights the large degree of spatial uncertainty in SOC estimates across Latin America. We provide a framework for improving country-specific mapping efforts and reducing current discrepancy of global, regional, and country-specific SOC estimates. MenosCountry-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capacities for digital soil mapping (DSM).We identified country-specific predictors for SOC and tested the performance of five predictive algorithms for mapping SOC across Latin America. The algorithms included support vector machines (SVMs), random forest (RF), kernel-weighted nearest neighbors (KK), partial least squares regression (PL), and regression kriging based on stepwise multiple linear models (RK). Country-specific training data and SOC predictors (5 x 5 km pixel resolution) were obtained from ISRIC - World Soil Information. Temperature, soil type, vegetation indices, and topographic constraints were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. We compared a large diversity of country-specific datasets and models, and were able to explain SOC variability in a range between ~ 1 and ~ 60 %, with no universal predictive algorithm among countries. A regional (n = 11 268 SOC estimates) ensemble of these five algorithms was able to explain ~ 39% of SOC variability from repeated 5-fold cross-validation.We report a combined SOC stock of 77.8 +- 43.6 Pg (uncertainty represented by the full conditional response of i... Mostrar Tudo |
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Palavras-Chave: |
Carbono orgânico do solo; Mapeamento digital do solo. |
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Thesagro: |
Carbono. |
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Thesaurus NAL: |
Soil map; Soil organic carbon. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182258/1/2018-032.pdf
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Marc: |
LEADER 04629naa a2200637 a 4500
001 2094880
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.5194/soil-4-173-2018$2DOI
100 1 $aGUEVARA, M.
245 $aNo silver bullet for digital soil mapping$bcountry-specific soil organic carbon estimates across Latin America.$h[electronic resource]
260 $c2018
520 $aCountry-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capacities for digital soil mapping (DSM).We identified country-specific predictors for SOC and tested the performance of five predictive algorithms for mapping SOC across Latin America. The algorithms included support vector machines (SVMs), random forest (RF), kernel-weighted nearest neighbors (KK), partial least squares regression (PL), and regression kriging based on stepwise multiple linear models (RK). Country-specific training data and SOC predictors (5 x 5 km pixel resolution) were obtained from ISRIC - World Soil Information. Temperature, soil type, vegetation indices, and topographic constraints were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. We compared a large diversity of country-specific datasets and models, and were able to explain SOC variability in a range between ~ 1 and ~ 60 %, with no universal predictive algorithm among countries. A regional (n = 11 268 SOC estimates) ensemble of these five algorithms was able to explain ~ 39% of SOC variability from repeated 5-fold cross-validation.We report a combined SOC stock of 77.8 +- 43.6 Pg (uncertainty represented by the full conditional response of independent model residuals) across Latin America. SOC stocks were higher in tropical forests (30 +- 16.5 Pg) and croplands (13 +- 8.1 Pg). Country-specific and regional ensembles revealed spatial discrepancies across geopolitical borders, higher elevations, and coastal plains, but provided similar regional stocks (77.8 +- 42.2 and 76.8 +- 45.1 Pg, respectively). These results are conservative compared to global estimates (e.g., SoilGrids250m 185.8 Pg, the Harmonized World Soil Database 138.4 Pg, or the GSOCmap-GSP 99.7 Pg). Countries with large area (i.e., Brazil, Bolivia, Mexico, Peru) and large spatial SOC heterogeneity had lower SOC stocks per unit area and larger uncertainty in their predictions. We highlight that expert opinion is needed to set boundary prediction limits to avoid unrealistically high modeling estimates. For maximizing explained variance while minimizing prediction bias, the selection of predictive algorithms for SOC mapping should consider density of available data and variability of country-specific environmental gradients. This study highlights the large degree of spatial uncertainty in SOC estimates across Latin America. We provide a framework for improving country-specific mapping efforts and reducing current discrepancy of global, regional, and country-specific SOC estimates.
650 $aSoil map
650 $aSoil organic carbon
650 $aCarbono
653 $aCarbono orgânico do solo
653 $aMapeamento digital do solo
700 1 $aOLMEDO, G. F.
700 1 $aSTELL, E.
700 1 $aYIGINI, Y.
700 1 $aAGUILAR DUARTE, Y.
700 1 $aARELLANO HERNÁNDEZ, C.
700 1 $aARÉVALO, G. E.
700 1 $aARROYO-CRUZ, C. E.
700 1 $aBOLIVAR, A.
700 1 $aBUNNING, S.
700 1 $aBUSTAMANTE CAÑAS, N.
700 1 $aCRUZ-GAISTARDO, C. O.
700 1 $aDAVILLA, F.
700 1 $aDELL ACQUA, M.
700 1 $aENCINA, A.
700 1 $aFIGUEREDO TACONA, H.
700 1 $aFONTES, F.
700 1 $aHERNÁNDEZ HERRERA, J. A.
700 1 $aIBELLES NAVARRO, A. R.
700 1 $aLOAYZA, V.
700 1 $aMANUELES, A. M.
700 1 $aMENDOZA JARA, F.
700 1 $aOLIVERA, C.
700 1 $aOSORIO HERMOSILLA, R.
700 1 $aPEREIRA, G.
700 1 $aPIETRO, P.
700 1 $aRAMOS, I. A.
700 1 $aREY BRINA, J. C.
700 1 $aRIVERA, R.
700 1 $aRODRÍGUEZ-RODRÍGUEZ, J.
700 1 $aROOPNARINE, R.
700 1 $aROSALES IBARRA, A.
700 1 $aROSALES RIVEIRO, K. A.
700 1 $aSCHULZ, G. A.
700 1 $aSPENCE, A.
700 1 $aVASQUES, G. de M.
700 1 $aVARGAS, R. R.
700 1 $aVARGAS, R.
773 $tSoil$gv. 4, n. 1, p. 173-193, 2018.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 1.130 | |
| 141. |  | 0900417, AGRICULTOR (VITORIA), Empresa de Assistencia Tecnica e Extensao Rural-EMATER-ES, Vitoria, ES
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental; Embrapa Meio-Norte. |   |
| 142. | | 5200004, AGRICULTOR VENEZOLANO, Ministerio de Agricultura y Cria, Caracas, VE
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental; Embrapa Mandioca e Fruticultura; Embrapa Trigo. | |
| 143. | | 0900763, AGRICULTURA (PIRACICABA), Fundacao de Estudos Agrarios Luiz de Queiroz-FEALQ, Piracicaba, SP
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Trigo. | |
| 144. | | 4150008, AGRICULTURA (LISBOA), Servico de Informacao Agricola, Lisboa, PT
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Mandioca e Fruticultura. | |
| 145. | | 0750001, AGRICULTURA (LOUVAIN), Association des Anciens Etudiants. Institut Agronomique de l'Universite Catholique de Louvain, Louvain, Franca, FR
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental. | |
| 146. | | 0901321, AGRICULTURA BIODINAMICA, Instituto Biodinamico de Desenvolvimento Rural, Botucatu, SP
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Hortaliças; Embrapa Meio Ambiente; Embrapa Uva e Vinho. | |
| 147. | | 0900046, AGRICULTURA BRASILEIRA, Cooperativa Brasil, Sao Paulo, SP
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| 148. | | 0901270, AGRICULTURA DE HOJE, Bloch, Rio de Janeiro, RJ
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agrobiologia; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Hortaliças; Embrapa Mandioca e Fruticultura; Embrapa Meio Ambiente; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Rondônia; Embrapa Semiárido; Embrapa Soja; Embrapa Solos; Embrapa Tabuleiros Costeiros; Embrapa Trigo; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agrobiologia; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados... Mostrar Todas | |
| 149. | | 5150067, AGRICULTURA DE LAS AMERICAS, Intertec Publishing Corp., Overland Park, Kan., US
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Instrumentação; Embrapa Mandioca e Fruticultura; Embrapa Meio Ambiente; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Rondônia; Embrapa Semiárido; Embrapa Soja; Embrapa Solos; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros; Embrapa Trigo; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados... Mostrar Todas | |
| 150. | | 0900047, AGRICULTURA E ABASTECIMENTO-MERCADO, Secretaria de Agricultura e Abastecimento do Estado do Rio de Janeiro, Rio de Janeiro, RJ
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Trigo. | |
| 151. | | 0901513, AGRICULTURA E COOPERATIVISMO, Federacao das Cooperativas Brasileiras de Trigo e Soja Ltda-FECOTRIGO, Porto Alegre, RS
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agrobiologia; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Mandioca e Fruticultura; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Semiárido; Embrapa Soja; Embrapa Trigo; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agrobiologia; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Mandioca e Fruticultura; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte... Mostrar Todas | |
| 152. | | 0901273, AGRICULTURA E PECUARIA (RIO DE JANEIRO. 1929), Associacao de Criadores de Gado Schwys e Jersey, Rio de Janeiro, RJ
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental; Embrapa Mandioca e Fruticultura; Embrapa Meio-Norte; Embrapa Semiárido; Embrapa Trigo. | |
| 153. | | 0900085, AGRICULTURA EM SAO PAULO, Instituto de Economia Agricola. Secretaria da Agricultura do Estado de Sao Paulo, Sao Paulo, SP
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agricultura Digital; Embrapa Agrobiologia; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Clima Temperado; Embrapa Florestas; Embrapa Gado de Corte; Embrapa Gado de Leite; Embrapa Instrumentação; Embrapa Mandioca e Fruticultura; Embrapa Meio Ambiente; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Pecuária Sudeste; Embrapa Semiárido; Embrapa Soja; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros; Embrapa Trigo; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agricultura Digital; Embrapa Agrobiologia; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental... Mostrar Todas |  |
| 154. | | 5800003, AGRICULTURA EN EL SALVADOR, Ministerio de Agricultura y Ganaderia, San Salvador, SV
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Semiárido. | |
| 155. | | 0905139, AGRICULTURA IRRIGADA, Provarzeas Nacional-Ministerio da Agricultura, Brasilia, DF
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Agrobiologia; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Semiárido. | |
| 156. | | 0901271, AGRICULTURA NOTICIAS, Ministerio da Agricultura, Brasilia, DF
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Meio-Norte. | |
| 157. | | 0901385, AGRICULTURA SUSTENTAVEL, Embrapa Meio Ambiente, Jaguariúna, SP
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Hortaliças; Embrapa Instrumentação; Embrapa Meio Ambiente; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Pantanal; Embrapa Pecuária Sudeste; Embrapa Rondônia; Embrapa Semiárido; Embrapa Soja; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros; Embrapa Trigo; Embrapa Unidades Centrais; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Gado de Leite... Mostrar Todas | |
| 158. | | 1250002, AGRICULTURA TECNICA, Ministerio da Agricultura.Instituto de Investigaciones Agropecuarias, Santiago de Chile, CL
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Semiárido; Embrapa Soja; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros; Embrapa Trigo; Embrapa Uva e Vinho. MenosCatálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio-Norte... Mostrar Todas | |
| 159. | | 3600004, AGRICULTURA TECNICA EM MEXICO, Instituto Nacional de Investigaciones.Secretaria de Agricultura y Recursos Hidraulicos, Mexico, MX
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Agropecuária Oeste; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Mandioca e Fruticultura; Embrapa Meio Norte / UEP-Parnaíba; Embrapa Semiárido; Embrapa Soja; Embrapa Trigo. | |
| 160. | | 1350008, AGRICULTURA TROPICAL (BOGOTA), Asociacion Colombiana de Ingenieros Agronomos, Bogota, CO
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Amazônia Oriental. | |
| Registros recuperados : 1.130 | |
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