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Registros recuperados : 53 | |
1. | | LIMA, E. M. B.; MIDDEA, A.; REIS, F. S.; MATEUS, D. N.; AMORIM, R. G. DE; PEREIRA, I. C. S.; MATTOS, M. da C.; MINGUITA, A. P. da S.; ANJOS, M. R. dos; NEUMANN, R.; OLIVEIRA, R. N.; TAVARES, M. I. B. Influence of the microstructure in the biodegradability process of eco-friendly materials based on polylactic acid and mango seed for food packaging to minimize microplastic generation. Journal Of Applied Polymer Science, e55449, 2023. Early View. First published. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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2. | | BERGALLO, H. G.; ROSA, C.; OCHOA, A. C.; MANZATTO, A. G.; GUIMARAES, A. F.; BANHOS, A.; CASTILHO, C. V. de; BARROS, C. F.; NORRIS, D.; DRUCKER, D. P.; RODRIGUES, D. J.; BACCARO, F. B.; LOURENÇO, I. H.; ZUANON, J.; STEGMANN, L. F.; ANJOS, M. R.; SILVEIRA, M.; ARAÚJO, P. S.; BOBROWIEC, P. E.; FADINI, R.; NECKEL-OLIVEIRA, S.; EMILIO, T.; SANTORELLI JUNIOR, S.; MAGNUSSON, W. E. Long-term ecological research: chasing fashions or being prepared for fashion changes? Anais da Academia Brasileira de Ciências, v. 95, n. 3, e20230051, 2023. 15 p. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Roraima. |
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3. | | CASTRO, I. M. de; BASTOS, L. H. P.; ANJOS, M. R. dos; OLIVEIRA, A. C. DE; COSTA, D. M. S. F. DA; CARDOSO, M. H. W. M.; CARVALHO, L. M. J. DE. Multi-residue method of pesticides by UPLC-MS/MS in bivalve mollusks samples as a tool for food quality and safety. Food Science and Technology, v. 43, e116722, 2023. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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4. | | ROSA C.; BACCARO, F.; CRONEMBERGER, C.; HIPÓLITO, J.; BARROS, C. F.; RODRIGUES, D. de J.; NECKEL-OLIVEIRA, S.; OVERBECK, G. E.; DRECHSLER-SANTOS, E. R.; ANJOS, M. R. dos; FERREGUETTI, A. C.; AKAMA, A.; MARTINS, M. B.; TOMAS, W. M.; SANTOS, S. A.; FERREIRA, V. L.; CUNHA, C. N. da; PENHA, J.; PINHO, J. B. de; SALIS, S. M.; DORIA, C. R. da C.; PILLAR, V. D.; PODGAISKI, L. R.; MENIN, M.; BÍGIO, N, C.; ARAGÓN, S.; MANZATTO, A. G.; VÉLEZ-MARTIN, E.; SILVA, A. C. B. L. e; IZZO, T. J.; MORTATI, A. F.; GIACOMIN, L. L.; ALMEIDA, T. E.; ANDRÉ, T.; SILVEIRA, M. A. P. de A.; SILVEIRA, A. L. P. da; MESSIAS, M. R.; MARQUES, M. C. M.; PADIAL, A. A.; MARQUES, R.; BITAR, Y. O. C.; SILVEIRA, M.; MORATO, E. F.; PAGOTTO, R. de C.; STRUSSMANN, C.; MACHADO, R. B.; AGUIAR, L. M. de S.; FERNANDES, G. W.; OKI, Y.; NOVAIS, S.; FERREIRA, G. B.; BARBOSA, F. R.; OCHOA, A. C.; MANGIONE, A. M.; GATICA, A.; CARRIZO, M. C.; RETTA, L. M.; JOFRÉ, L. E.; CASTILLO, L. L.; NEME, A. M.; RUEDA, C.; TOLEDO, J. J. de; GRELLE, C. E. V.; VALE, M. M.; VIEIRA, M. V.; CERQUEIRA, R.; HIGASHIKAWA, E. M.; MENDONÇA, F. P. de; GUERREIRO, Q. L de M.; BANHOS, A.; HERO, JEAN-MARC; KOBLITZ, R.; COLLEVATTI, R. G.; SILVEIRA, L. F.; VASCONCELOS, H. L.; VIEIRA, C. R.; COLLI, G. R.; CECHIN, S. Z.; SANTOS, T. G. dos; FONTANA, C. S.; JARENKOW, J. A.; MALABARBA, L. R.; RUEDA, M. P. R.; ARAUJO, P. A.; PALOMO, L.; ITURRE, M. C.; BERGALLO, H. G.; MAGNUSSON, W. E. The program for biodiversity research in Brazil: The role of regional networks for biodiversity knowledge, dissemination, and conservation. Anais da Academia Brasileira de Ciências, v. 93, n. 2, e20201604, 2021. Biblioteca(s): Embrapa Pantanal. |
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5. | | LIMA, E. M. B.; MIDDEA, A.; MARCONCINI, J. M.; CORRÊA, A. C.; PEREIRA, J. F.; GUIMARÃES, A. V.; LIMA, J. F. de; ANJOS, M. R. dos; CASTRO, I. M. de; OLIVEIRA, R. N.; MOREIRA, C. R.; PAIVA, M. M. de; RANGEL, F. L. C.; NEUMANN, R. Biodegradable PLA based nanocomposites for packaging aplications: The effects of organo-modified bentonite concentration. Journal of Applied Polymer Science, v. 138, n. 36, 2021. 1-17 Biblioteca(s): Embrapa Instrumentação. |
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6. | | LIMA, E. M. B.; MIDDEA, A.; MARCONCINI, J. M.; CORRÊA, A. C.; PEREIRA, J. F.; GUIMARÃES, A. V.; LIMA, J. F. de; ANJOS, M. R. dos; CASTRO, I. M. de; OLIVEIRA, R. N.; MOREIRA, C. R.; PAIVA, M. M. de; RANGEL, F. L. C.; NEUMANN, R. Biodegradable PLA based nanocomposites for packaging applications: The effects of organo-modified bentoniteconcentration. Journal of Applied Polymer Science, v. 138, e50907, p.1-17, 2021. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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7. | | CORRÊA, C. L. O.; PENHA, E. das M.; ANJOS, M. R. dos; PACHECO, S.; FREITAS-SILVA, O.; LUNA, A. S.; GOTTSCHALK, L. M. F. Use of asparaginase for acrylamide mitigation in coffee and its influence on the content of caffeine, chlorogenic acid, and caffeic acid. Food Chemistry, v. 338, 128045, 6 p., fev. 2021. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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8. | | SANTIAGO, M. C. P. de A.; ANJOS, M. R. dos; JESUS, M. S. C. de; SOUZA, M. de L. M. de; PACHECO, S.; BIZZO, H. R. Análise e caracterização de taninos condensados por cromatografia líquida. Brazilian Journal of Development, Curitiba, v. 6, n. 8, p. 61446-61462, ago. 2020. Analysis and characterization of condensed tannins by liquid chromatography. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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9. | | MIRANDA, J. A. T. DE; CARVALHO, L. M. J. DE; CASTRO, I. M. de; ANJOS, M. R. dos; CARVALHO, J. L. V. de; VIEIRA, A. C. DE M. Heating, Identification, and Determination of Pesticides Residues in Black Bean Samples. Chemical Engineering Transactions, v. 80, 2020. p. 337-342 Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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13. | | ANJOS, M. R. dos; TEIXEIRA, A. da S.; CASTRO, I. M. de. Recovery Test for Simultaneous Analysis of Thirteen Mycotoxins in Maize by UPLC-MSMS. In: BRAZILIAN CONFERENCE ON MASS SPECTROMETRY, 7.; BRAZILIAN PROTEOMICS SOCIETY CONFERENECE, 4., 2018, Rio de Janeiro. Conference Book... Rio de Janeiro: Sociedade Brasileira de Espectrometria de Massas, 2018. p. 21. Ref. 95925. BrMass, BrProt. December 8th to 12th, 2018. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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14. | | SOUZA, M. S. de; SALMAN, A. K. D.; ANJOS, M. R. dos; SAUSEN, D.; PEDERSOLI, M. A.; PEDERSOLI, N. R. N. B. Serviços ecológicos de insetos e outros artrópodes em sistemas agroflorestais. Revista EDUCAmazônia: Educação Sociedade e Meio Ambiente, v. 10, n. 1, p. 22-35, Jan-Jun 2018. Biblioteca(s): Embrapa Rondônia. |
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15. | | CASTRO, I. M. de; ANJOS, M. R. dos; CALIXTO, F. A. A.; MACHADO, E. S.; CRUZ FILHO, A. G. da; FREITAS, S. C. de. Determinação multirresíduo de agrotóxicos organoclorados em pescado de captura por CG-DCE. In: ENCONTRO NACIONAL, 20.; CONGRESSO LATINO AMERICANO DE ANALISTAS DE ALIMENTOS, 6., 2017. Belém. Segurança e qualidade de alimentos. Belém, PA: LACEN: UFPA, 2017. p. 1-3. 1 CD-ROM. ENAAL. Seção Trabalhos. Ref. 2889. Promoção: SBAAL. 13 a 16 de agosto. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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16. | | MIRANDA, J. A. T. de; CARVALHO, L. M. J. de; CASTRO, I. M. de; VIERA, A. C. de M.; FIGUEIREDO, V. de O.; ANJOS, M. R. dos; DELLA MORA ORTIZ, G. M. Validation of a method for determination of organophosphates in black bean samples. International Journal of Current Research, v. 9, n. 3, p. 48261-48263, march, 2017. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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19. | | ANJOS, M. R. dos; CASTRO, I. M. de; SOUZA, M. de L. M. de; LIMA, V. V. DE; AQUINO-NETO, F. R. DE. Multiresidue method for simultaneous analysis of aflatoxin M1, avermectins, organophosphate pesticides and milbemycin in milk by ultra-performance liquid chromatography coupled to tandem mass spectrometry. Food Additives & Contaminants. Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment, v. 33, n. 6, p. 995-1002, jun. 2016. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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20. | | MIRANDA, J. A. T.; CARVALHO, L. M. J.; CASTRO, I. M. de; FIGUEIREDO, V.; TEIXEIRA, A. S.; ANJOS, M. R. Influence of heat treatment on the degradation of organophosphates in cooked beans (Phaseolus vulgaris). In: LATIN AMERICAN PESTICIDE RESIDUE WORKSHOP FOOD AND ENVIROMENT, 5., 2015, Santiago, Chile. Book of abstracts... Santiago: Pontificia Universidad Católica de Chile, 2015. 1 CD-ROM. p. 245. In: LATIN AMERICAN PESTICIDE RESIDUE WORKSHOP, 5., 2015, Santiago, Chile. Food and enviroment. Santiago: Pontificia Universidad Católica de Chile, 2015. 1 CD-ROM. LAPRW 2015. Cód. PO10. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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Registros recuperados : 53 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
30/11/2016 |
Data da última atualização: |
07/11/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
GIGLIOTI, R.; OLIVEIRA, H. N. de; SANTANA, C. H.; IBELLI, A. M. G.; NEO, T. A.; BILHASSI, T. B.; RABELO, M. D.; MACHADO, R. Z.; BRITO, L. G.; OLIVEIRA, M. C. de S. |
Afiliação: |
Rodrigo Giglioti, UNESP; Henrique Nunes de Oliveira, UNESP; Clarissa Helena Santana, UNESP; ADRIANA MERCIA GUARATINI IBELLI, CNPSA; Thalita Athiê Néo, UFSCAR; Talita Barban Bilhassi, UNESP; MARCIO DIAS RABELO, CPPSE; Rosângela Zacarias Machado, UNESP; LUCIANA GATTO BRITO, CPAF-Rondonia; MARCIA CRISTINA DE SENA OLIVEIRA, CPPSE. |
Título: |
Babesia bovis and Babesia bigemina infection levels estimated by qPCR in Angus cattle from an endemic area of São Paulo state, Brazil. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Ticks and Tick-borne Diseases, v. 7, n. 5, p. 657-662, jul. 2016. |
ISSN: |
1877-959X |
Idioma: |
Inglês |
Conteúdo: |
The levels of infection by Babesia bovis and Babesia bigemina were estimated by absolute quantification through the quantitative PCR technique (qPCR). Fifty-one contemporaneous Angus cattle were evaluated on two occasions. The number of standard female Rhipicephalus microplus ticks present on the left side of the body was counted and blood samples were drawn from the tail vein into tubes containing the anticoagulant EDTA. The blood samples were submitted to DNA extraction and used to quantify the number of copies (NC) of DNA from B. bovis and B. bigemina by qPCR. The data on tick count and number of DNA copies were transformed for normalization and analyzed by a mixed model method. A multivariate model with repeated measures of the same animal, including the effects of collection, parasite species and their interaction, was used. The repeatability values were obtained from the matrix of (co)variances and were expressed for each species. The correlations between the counts of different species on the same animal, in the same collection or different collections, were also estimated. The results showed the qPCR could distinguish the two between infection by the two Babesia species. Infection levels by B. bovis and B. bigemina were detected in 100% and 98% of the animals, respectively. Significant differences were found (P<0.05) between the NC of the two Babesia species, B. bovis 1.49±0.07 vs. B. bigemina 0.82±0.06. Low repeatabilities were found for the counts of R. microplus and NC of B. bovis and B. bigemina: 0.05, 0.10 and 0.02, respectively. The correlations between R. microplus count and NC of B. bovis and B. bigemina were both very near zero. However, an association was observed between the NC of the two species, with a correlation coefficient of 0.30 for measures from the same collection. The absence of associations between the quantity of DNA from B. bovis and B. bigemina and the tick counts suggests that the variation of parasitemia by the hemoparasites did not depend on the tick infestation levels at the moment of each collection. The repeatability values estimated indicate that under the study conditions, the variations in the tick infestation levels and of parasitemia by B. bovis and B. bigemina depend more on factors related to each collection than on intrinsic factors of the animal. MenosThe levels of infection by Babesia bovis and Babesia bigemina were estimated by absolute quantification through the quantitative PCR technique (qPCR). Fifty-one contemporaneous Angus cattle were evaluated on two occasions. The number of standard female Rhipicephalus microplus ticks present on the left side of the body was counted and blood samples were drawn from the tail vein into tubes containing the anticoagulant EDTA. The blood samples were submitted to DNA extraction and used to quantify the number of copies (NC) of DNA from B. bovis and B. bigemina by qPCR. The data on tick count and number of DNA copies were transformed for normalization and analyzed by a mixed model method. A multivariate model with repeated measures of the same animal, including the effects of collection, parasite species and their interaction, was used. The repeatability values were obtained from the matrix of (co)variances and were expressed for each species. The correlations between the counts of different species on the same animal, in the same collection or different collections, were also estimated. The results showed the qPCR could distinguish the two between infection by the two Babesia species. Infection levels by B. bovis and B. bigemina were detected in 100% and 98% of the animals, respectively. Significant differences were found (P<0.05) between the NC of the two Babesia species, B. bovis 1.49±0.07 vs. B. bigemina 0.82±0.06. Low repeatabilities were found for the counts of R. microplus a... Mostrar Tudo |
Palavras-Chave: |
QPCR; R microplus; Resistance. |
Thesagro: |
Babesia Bovis; Bovino. |
Thesaurus NAL: |
babesiosis. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 03252naa a2200313 a 4500 001 2057560 005 2018-11-07 008 2016 bl uuuu u00u1 u #d 022 $a1877-959X 100 1 $aGIGLIOTI, R. 245 $aBabesia bovis and Babesia bigemina infection levels estimated by qPCR in Angus cattle from an endemic area of São Paulo state, Brazil.$h[electronic resource] 260 $c2016 520 $aThe levels of infection by Babesia bovis and Babesia bigemina were estimated by absolute quantification through the quantitative PCR technique (qPCR). Fifty-one contemporaneous Angus cattle were evaluated on two occasions. The number of standard female Rhipicephalus microplus ticks present on the left side of the body was counted and blood samples were drawn from the tail vein into tubes containing the anticoagulant EDTA. The blood samples were submitted to DNA extraction and used to quantify the number of copies (NC) of DNA from B. bovis and B. bigemina by qPCR. The data on tick count and number of DNA copies were transformed for normalization and analyzed by a mixed model method. A multivariate model with repeated measures of the same animal, including the effects of collection, parasite species and their interaction, was used. The repeatability values were obtained from the matrix of (co)variances and were expressed for each species. The correlations between the counts of different species on the same animal, in the same collection or different collections, were also estimated. The results showed the qPCR could distinguish the two between infection by the two Babesia species. Infection levels by B. bovis and B. bigemina were detected in 100% and 98% of the animals, respectively. Significant differences were found (P<0.05) between the NC of the two Babesia species, B. bovis 1.49±0.07 vs. B. bigemina 0.82±0.06. Low repeatabilities were found for the counts of R. microplus and NC of B. bovis and B. bigemina: 0.05, 0.10 and 0.02, respectively. The correlations between R. microplus count and NC of B. bovis and B. bigemina were both very near zero. However, an association was observed between the NC of the two species, with a correlation coefficient of 0.30 for measures from the same collection. The absence of associations between the quantity of DNA from B. bovis and B. bigemina and the tick counts suggests that the variation of parasitemia by the hemoparasites did not depend on the tick infestation levels at the moment of each collection. The repeatability values estimated indicate that under the study conditions, the variations in the tick infestation levels and of parasitemia by B. bovis and B. bigemina depend more on factors related to each collection than on intrinsic factors of the animal. 650 $ababesiosis 650 $aBabesia Bovis 650 $aBovino 653 $aQPCR 653 $aR microplus 653 $aResistance 700 1 $aOLIVEIRA, H. N. de 700 1 $aSANTANA, C. H. 700 1 $aIBELLI, A. M. G. 700 1 $aNEO, T. A. 700 1 $aBILHASSI, T. B. 700 1 $aRABELO, M. D. 700 1 $aMACHADO, R. Z. 700 1 $aBRITO, L. G. 700 1 $aOLIVEIRA, M. C. de S. 773 $tTicks and Tick-borne Diseases$gv. 7, n. 5, p. 657-662, jul. 2016.
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