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| 1. |  | PAIXÃO, J. L. de F.; PRATA, M. C. de A.; FURLONG, J.; TASSINARI, W. de S.; BITTENCOURT, V. R. E. P.; ANGELO, I. da C. Comparison between modified Gordon & Whitlock and Centrifugal Fluctuation techniques for diagnosis of helminths in cattle. Revista Brasileira de Medicina Veterinária, v. 38, Supl. 3, p. 167-174, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 2. | | PORTO, Y. D.; FOGACA, F. H. dos S.; ANDRADE, A. O.; SILVA, L. K. S. DA; LIMA, J. P.; SILVA, J. L.; VIEIRA, B. S.; CUNHA NETO, A.; FIGUEIREDO, E. E. DE S.; TASSINARI, W. DE S. Salmonella spp. in Aquaculture: An Exploratory Analysis (Integrative Review) of Microbiological Diagnoses between 2000 and 2020. Animals, v. 13, n. 27, p. 1-22, 2023. Na publicação: Janine Passos Lima.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| Registros recuperados : 2 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria de Alimentos. Para informações adicionais entre em contato com ctaa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
14/02/2023 |
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Data da última atualização: |
16/06/2023 |
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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: |
PORTO, Y. D.; FOGACA, F. H. dos S.; ANDRADE, A. O.; SILVA, L. K. S. DA; LIMA, J. P.; SILVA, J. L.; VIEIRA, B. S.; CUNHA NETO, A.; FIGUEIREDO, E. E. DE S.; TASSINARI, W. DE S. |
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Afiliação: |
YURI DUARTE PORTO, UFRJ; FABIOLA HELENA DOS SANTOS FOGACA, CTAA; ADRIANA OLIVEIRA ANDRADE, UFRJ; LUCIANA KIMIE SAVAY DA SILVA, UFMT; JANINE PASSOS LIMA DA SILVA, CTAA; JORGE LUIZ DA SILVA, IFMT; BRUNO SERPA VIEIRA, UFU; ADELINO CUNHA NETO, UFMT; EDUARDO EUSTÁQUIO DE SOUZA FIGUEIREDO, UFMT; WAGNER DE SOUZA TASSINARI, UFRJ. |
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Título: |
Salmonella spp. in Aquaculture: An Exploratory Analysis (Integrative Review) of Microbiological Diagnoses between 2000 and 2020. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Animals, v. 13, n. 27, p. 1-22, 2023. |
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DOI: |
https://doi.org/10.3390/ani13010027 |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Janine Passos Lima. |
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Conteúdo: |
The present study aimed to characterize, through descriptive statistics, data from scientific articles selected in a systematic integrative review that performed a microbiological diagnosis of Salmonella spp. in aquaculture. Data were obtained from research articles published in the BVS, Scielo, Science Direct, Scopus and Web of Science databases. The selected studies were published between 2000 and 2020 on samples of aquaculture animal production (fish, shrimp, bivalve mollusks, and other crustaceans) and environmental samples of aquaculture activity (farming water, soil, and sediments). After applying the exclusion criteria, 80 articles were selected. Data such as country of origin, categories of fish investigated, methods of microbiological diagnosis of Salmonella spp., sample units analyzed and most reported serovars were mined. A textual analysis of the word cloud and by similarity and descending hierarchical classification with the application of Reinert’s algorithm was performed using R® and Iramuteq® software. The results showed that a higher percentage of the selected articles came from Asian countries (38.75%). Fish was the most sampled category, and the units of analysis of the culture water, muscle and intestine were more positive. The culture isolation method is the most widespread, supported by more accurate techniques such as PCR. The most prevalent Salmonella serovars reported were S. Typhimurium, S. Weltevreden and S. Newport. The textual analysis showed a strong association of the terms “Salmonella”, “fish” and “water”, and he highest hierarchical class grouped 25.4% of the associated text segments, such as “aquaculture”, “food” and “public health”. The information produced characterizes the occurrence of Salmonella spp. in the aquaculture sector, providing an overview of recent years. Future research focusing on strategies for the control and prevention of Salmonella spp. in fish production are necessary and should be encouraged. MenosThe present study aimed to characterize, through descriptive statistics, data from scientific articles selected in a systematic integrative review that performed a microbiological diagnosis of Salmonella spp. in aquaculture. Data were obtained from research articles published in the BVS, Scielo, Science Direct, Scopus and Web of Science databases. The selected studies were published between 2000 and 2020 on samples of aquaculture animal production (fish, shrimp, bivalve mollusks, and other crustaceans) and environmental samples of aquaculture activity (farming water, soil, and sediments). After applying the exclusion criteria, 80 articles were selected. Data such as country of origin, categories of fish investigated, methods of microbiological diagnosis of Salmonella spp., sample units analyzed and most reported serovars were mined. A textual analysis of the word cloud and by similarity and descending hierarchical classification with the application of Reinert’s algorithm was performed using R® and Iramuteq® software. The results showed that a higher percentage of the selected articles came from Asian countries (38.75%). Fish was the most sampled category, and the units of analysis of the culture water, muscle and intestine were more positive. The culture isolation method is the most widespread, supported by more accurate techniques such as PCR. The most prevalent Salmonella serovars reported were S. Typhimurium, S. Weltevreden and S. Newport. The textual analysis showed a s... Mostrar Tudo |
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Palavras-Chave: |
Fish farming; Reinert’s algorithm; Similarity; Word cloud. |
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Thesagro: |
Salmonella. |
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Thesaurus NAL: |
Food safety; Food technology; Public health. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03066naa a2200349 a 4500
001 2151734
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008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/ani13010027$2DOI
100 1 $aPORTO, Y. D.
245 $aSalmonella spp. in Aquaculture$bAn Exploratory Analysis (Integrative Review) of Microbiological Diagnoses between 2000 and 2020.$h[electronic resource]
260 $c2023
500 $aNa publicação: Janine Passos Lima.
520 $aThe present study aimed to characterize, through descriptive statistics, data from scientific articles selected in a systematic integrative review that performed a microbiological diagnosis of Salmonella spp. in aquaculture. Data were obtained from research articles published in the BVS, Scielo, Science Direct, Scopus and Web of Science databases. The selected studies were published between 2000 and 2020 on samples of aquaculture animal production (fish, shrimp, bivalve mollusks, and other crustaceans) and environmental samples of aquaculture activity (farming water, soil, and sediments). After applying the exclusion criteria, 80 articles were selected. Data such as country of origin, categories of fish investigated, methods of microbiological diagnosis of Salmonella spp., sample units analyzed and most reported serovars were mined. A textual analysis of the word cloud and by similarity and descending hierarchical classification with the application of Reinert’s algorithm was performed using R® and Iramuteq® software. The results showed that a higher percentage of the selected articles came from Asian countries (38.75%). Fish was the most sampled category, and the units of analysis of the culture water, muscle and intestine were more positive. The culture isolation method is the most widespread, supported by more accurate techniques such as PCR. The most prevalent Salmonella serovars reported were S. Typhimurium, S. Weltevreden and S. Newport. The textual analysis showed a strong association of the terms “Salmonella”, “fish” and “water”, and he highest hierarchical class grouped 25.4% of the associated text segments, such as “aquaculture”, “food” and “public health”. The information produced characterizes the occurrence of Salmonella spp. in the aquaculture sector, providing an overview of recent years. Future research focusing on strategies for the control and prevention of Salmonella spp. in fish production are necessary and should be encouraged.
650 $aFood safety
650 $aFood technology
650 $aPublic health
650 $aSalmonella
653 $aFish farming
653 $aReinert’s algorithm
653 $aSimilarity
653 $aWord cloud
700 1 $aFOGACA, F. H. dos S.
700 1 $aANDRADE, A. O.
700 1 $aSILVA, L. K. S. DA
700 1 $aLIMA, J. P.
700 1 $aSILVA, J. L.
700 1 $aVIEIRA, B. S.
700 1 $aCUNHA NETO, A.
700 1 $aFIGUEIREDO, E. E. DE S.
700 1 $aTASSINARI, W. DE S.
773 $tAnimals$gv. 13, n. 27, p. 1-22, 2023.
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