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| Registros recuperados : 13 | |
| 1. |  | MATOS, A.; TORREZAN, R.; DEL AGUILA, E. M.; OLIVEIRA, E. M. M.; PASCHOALIN, V. M. F. Evaluación de soya geneticamente modificada por Q-PCR en el procesamiento de leche de soya. In: CONGRESO IBEROAMERICANO DE INGENIERÍA DE ALIMENTOS, 9., 2014, Valencia. Libro de actas. Valencia: Universitat Politècnia de València, 2014. v. 2, p. 505-511.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 3. | | BARROS, N. E. F.; OLIVEIRA, E. M. M.; FREITAS-SILVA, O.; SILVA, J. T.; PASCHOALIN, V. M. F. Assessment of genetically modified soybean in Brazilian processed foods. In: WORLD CONGRESS OF FOOD SCIENCE & TECHNOLOGY, 13., 2006, Nates, France. Abstracts... Nates: [s. n.], 2006. 1 CD-ROM.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 4. | | PINTO JUNIOR, W. R.; DEL AGUILA, E. M.; SILVA, J. M.; SILVA, J. T.; ROSENTAL, A.; PASCHOALIN, V. M. F. Determination of proteolytic activity of metalloproteinase from industrial strains isolated from the a dairy industry-plant. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 27., 2013, Natal. Anais... São Paulo: Sociedade Brasileira de Microbiologia, 2013.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 6. | | BARROS, N. E. F. de; OLIVEIRA, E. M. M.; SILVA, O. F.; SILVA, J. T.; PASCHOALIN, V. M. F. Qualitative and quantitative assessment of genetically modified soy in enteral nutrition formulas by polymerase chain reaction based methods. Revista de Nutrição, Campinas, v. 23, n. 1, p. 49-55, jan./fev. 2010.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 8. | | NUNES, R. S. C.; PINHATI, F. R.; GOLINELLI, L. P.; REBOUÇAS, T. N. H.; PASCHOALIN, V. M. F.; SILVA, J. T. da. Polymorphic microsatellites of analysis in cultivars of taro. Horticultura Brasileira, Brasilia, DF, v. 30, n. 1, p. 106-111, jan./mar. 2012.| Biblioteca(s): Embrapa Hortaliças. |
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| 9. | | MATOS, A.; DEL AGUILA, E. M.; COSTA, S. D. O.; PENTEADO, A. L.; PENTEADO, M. S.; TORREZAN, R.; DELIZA, R.; OLIVEIRA, E. M. M.; PASCHOALIN, V. M. F. Quality assessment of soy milk: RR® event traceability, detection of Salmonella enteritidis and sensory analysis. In: CHEM RIO SYMPOSIUM, 14., 2014, Rio de Janeiro. Anais... Rio de Janeiro: UFRJ, Instituto de Química, 2014.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 10. | | GOLINELLI, L. P.; CARVALHO, A. C.; CASAES, R. S.; LOPES, C. S. C.; DELIZA, R.; PASCHOALIN, V. M. F.; SILVA, J. T. Sensory analysis and species-specific PCR detect bovine milk adulteration of frescal (fresh) goat cheese. Journal of Dairy Science, v. 97, n. 11, p. 6693-6699, Nov., 2014.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 11. | | PINTO JUNIOR, W. R.; PEREIRA, P. R.; SILVA, J. M.; DEL AGUILA, E. M.; SILVA, J. T.; PASCHOALIN, V. M. F.; ROSENTHAL, A. Uso de los tra amientos termico e no termico (alta presion hidrostatica) para la inactivación de enzimas bacterianas metaloproteases presentes en la degradación de leche. In: CONGRESO IBEROAMERICANO DE INGENIERÍA DE ALIMENTOS, 9., 2014, Valencia. Libro de actas. Valencia: Universitat Politècnia de València, 2014. v. 2, p. 497-504.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 12. | | SANTOS, A. M. dos; LIMA, I.; DEL AGUILA, E. M.; COSTA, S. D. de O.; PENTEADO, A. L.; STEPHAN, M. P.; TORREZAN, R.; DELIZA, R.; OLIVEIRA, E. M. M.; PASCHOALIN, V. M. F. Quality assessment of soy milk: RR® event traceability, detection of Salmonella Enteritidis and sensory analysis. In: CHEM RIO SYMPOSIUM, 14., 2014, Rio de Janeiro. Anais...Rio de Janeiro: Instituto de Química/UFRJ, 2014.| Biblioteca(s): Embrapa Solos. |
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| 13. | | CARVALHO, R. C. T.; VASCONCELLOS, S. E. G.; ISSA, M. de A.; SOARES FILHO, P. M.; MOTA, P. M. P. C.; ARAUJO, F. R.; CARVALHO, A. C. da S.; GOMES, H. M.; SUFFYS, P. N.; FIGUEIREDO, E. E. de S.; PASCHOALIN, V. M. F. Molecular typing of mycobacterium bovis from cattle reared in Midwest Brazil. PlOs ONE, v. 11, n. 9, p. 1-16, Sept. 2016.| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 13 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Amapá; Embrapa Meio Ambiente; Embrapa Rondônia; Embrapa Roraima. |
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Data corrente: |
19/05/2022 |
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Data da última atualização: |
19/05/2022 |
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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: |
HACKET-PAIN, A.; FOEST, J. J.; PEARSE, I. S.; LAMONTAGNE, J. M.; KOENIG, W. D.; VACCHIANO, G.; BOGDZIEWICZ, M.; CAIGNARD, T.; CELEBIAS, P.; VAN DORMOLEN, J.; FERNANDEZ-MARTINEZ, M.; MORIS, J. V.; PALAGHIANU, C.; PESENDORFER, M.; SATAKE, A.; SCHERMER, E.; TANENTZAP, A. J.; THOMAS, P. A.; VECCHIO, D.; WION, A. P.; WOHLGEMUTH, T.; XUE, T. T.; ABERNETHY, K.; ACUNA, M. C. A.; BARRERA, M. D.; BARTON, J. H.; BOUTIN, S.; BUSH, E. R.; CALDERON, S. D.; CAREVIC, F. S.; CASTILHO, C. V. de; CELLINI, J. M.; CHAPMAN, C. A.; CHAPMAN, H.; CHIANUCCI, F.; COSTA, P. da; CROISE, L.; CUTINI, A.; DANTZER, B.; DEROSE, R. J.; DIKANGADISSI, J. T.; DIMOTO, E.; FONSECA, F. L. da; GALLO, L.; GRATZER, G.; GREENE, D. F.; HADAD, M. A.; HERRERA, A. H.; JEFFERY, K. J.; JOHNSTONE, J. F.; KALBITZER, U.; KANTOROWICZ, W.; KLIMAS, C. A.; LAGEARD, J. G. A.; LANE, J.; LAPIN, K.; LEDWON, M.; LEEPER, A. C.; LENCINAS, M. V.; LIRA-GUEDES, A. C.; LORDON, M. C.; MARCHELLI, P.; MARINO, S.; VAN MARLE, H. S.; MCADAM, A. G.; MOMONT, L. R. W.; NICOLAS, M.; WADT, L. H. de O.; PANAHI, P.; PASTUR, G. M.; PATTERSON, T.; PERI, P. L.; PIECHNIK, L.; POURHASHEMI, M.; QUEZADA, C. E.; ROIG, F. A.; ROJAS, K. P.; ROSAS, Y. M.; SCHUELER, S.; SEGET, B.; SOLER, R.; STEELE, M. A.; TORO-MANRIQUEZ, M.; TUTIN, C. E. G.; UKIZINTAMBARA, T.; WHITE, L.; YADOK, B.; WILLIS, J. L.; ZOLLES, A.; ZYWIEC, M.; ASCOLI, D. |
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Afiliação: |
CAROLINA VOLKMER DE CASTILHO, CPAF-RR; PATRICIA DA COSTA, CNPMA; FERNANDA LOPES DA FONSECA, CPAF-AC; ANA CLAUDIA LIRA GUEDES, CPAF-AP; LUCIA HELENA DE OLIVEIRA WADT, CPAF-RO. |
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Título: |
MASTREE+: Time-series of plant reproductive effort from six continents. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Global Change Biology, v. 28, n. 9, p. 3066-3082, 2022. |
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ISSN: |
1354-1013 |
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DOI: |
10.1111/gcb.16130 |
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Idioma: |
Inglês |
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Conteúdo: |
Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics. |
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Palavras-Chave: |
General flowering; Seed production. |
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Thesaurus NAL: |
Demography; Flowering; Plant reproduction; Regeneration (biological). |
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Categoria do assunto: |
--
B Sociologia Rural |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1143250/1/Global-Change-Biology-2022-Hacket8208Pain-MASTREE-Time8208series-of-plant-reproductive-effort-from-six-continents-1.pdf
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Marc: |
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260 $c2022
520 $aSignificant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.
650 $aDemography
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700 1 $aZYWIEC, M.
700 1 $aASCOLI, D.
773 $tGlobal Change Biology$gv. 28, n. 9, p. 3066-3082, 2022.
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Registro original: |
Embrapa Roraima (CPAF-RR) |
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