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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amapá. Para informações adicionais entre em contato com cpafap.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
09/08/2018 |
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Data da última atualização: |
06/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, M. S. B.; SILVA, L. M. A.; PRESTES, L.; TAVARES-DIAS, M. |
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Afiliação: |
M. S. B. OLIVEIRA, UNIFAP; L. M. A. SILVA, Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá; L. PRESTES, Universidade do Estado do Amapá; MARCOS TAVARES DIAS, CPAF-AP. |
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Título: |
Length-weight relationship and condition factor of 11 fish species of the Igarapé Fortaleza basin, a tributary from the Amazon River system in eastern Amazon (Brazil). |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Applied Ichthyology, v. 34, p. 1038-1041, 2018. |
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DOI: |
https://doi.org/10.1111/jai.13679 |
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Idioma: |
Inglês |
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Conteúdo: |
The present study investigated the length-weight relationship (LWR) and allometric condition factor for 11 freshwater fish species of the Igarapé Fortaleza basin (00°02037.5″N; 51°06019.2″W), a tributary from the Amazon River system in the State of Amapá, northern Brazil. The fish were collected in the period from 2012 to 2014 using gillnets with different mesh sizes (10?40 mm between opposite knots). LWR parameters were estimated had angular coefficient (b) varying from 2.055 to 3.158. The allometric condition factor presented interspecific variation. These data complement the efforts to understand the biology of these Amazonian fish species. |
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Palavras-Chave: |
Allometric condition; Condição alométrica. |
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Thesagro: |
Peixe de Água Doce. |
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Thesaurus Nal: |
Freshwater fish. |
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Categoria do assunto: |
S Ciências Biológicas |
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Marc: |
LEADER 01437naa a2200217 a 4500
001 2094039
005 2022-10-06
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/jai.13679$2DOI
100 1 $aOLIVEIRA, M. S. B.
245 $aLength-weight relationship and condition factor of 11 fish species of the Igarapé Fortaleza basin, a tributary from the Amazon River system in eastern Amazon (Brazil).$h[electronic resource]
260 $c2018
520 $aThe present study investigated the length-weight relationship (LWR) and allometric condition factor for 11 freshwater fish species of the Igarapé Fortaleza basin (00°02037.5″N; 51°06019.2″W), a tributary from the Amazon River system in the State of Amapá, northern Brazil. The fish were collected in the period from 2012 to 2014 using gillnets with different mesh sizes (10?40 mm between opposite knots). LWR parameters were estimated had angular coefficient (b) varying from 2.055 to 3.158. The allometric condition factor presented interspecific variation. These data complement the efforts to understand the biology of these Amazonian fish species.
650 $aFreshwater fish
650 $aPeixe de Água Doce
653 $aAllometric condition
653 $aCondição alométrica
700 1 $aSILVA, L. M. A.
700 1 $aPRESTES, L.
700 1 $aTAVARES-DIAS, M.
773 $tJournal of Applied Ichthyology$gv. 34, p. 1038-1041, 2018.
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Embrapa Amapá (CPAF-AP) |
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Biblioteca(s): |
Embrapa Agroenergia; Embrapa Meio-Norte. |
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Data corrente: |
21/07/2022 |
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Data da última atualização: |
21/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 4 |
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Autoria: |
BITTENCOURT, C. B.; SILVA, T. L. C. da; RODRIGUES NETO, J. C.; VIEIRA, L. R.; LEAO, A. P.; RIBEIRO, J. A. de A.; ABDELNUR, P. V.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T. |
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Afiliação: |
CLEITON BARROSO BITTENCOURT, Universidade Federal de Lavras; THALLITON LUIZ CARVALHO DA SILVA, Universidade Federal de Lavras; JORGE CÂNDIDO RODRIGUES NETO; LETÍCIA RIOS VIEIRA, Universidade Federal de Lavras; ANDRE PEREIRA LEAO, CNPAE; JOSE ANTONIO DE AQUINO RIBEIRO, CNPAE; PATRICIA VERARDI ABDELNUR, CNPAE; CARLOS ANTONIO FERREIRA DE SOUSA, CPAMN; MANOEL TEIXEIRA SOUZA JUNIOR, CNPAE. |
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Título: |
Insights from a Multi-Omics Integration (MOI) Study in Oil Palm (Elaeis gineensis Jacq.) Response to Abiotic Stresses: Part One?Salinity. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Plants, 11, n. 1755, 2022. |
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DOI: |
https://doi.org/10.3390/plants11131755 |
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Idioma: |
Inglês |
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Conteúdo: |
Oil palm (Elaeis guineensis Jacq.) is the number one source of consumed vegetable oil nowadays. It is cultivated in areas of tropical rainforest, where it meets its natural condition of high rainfall throughout the year. The palm oil industry faces criticism due to a series of practices that was considered not environmentally sustainable, and it finds itself under pressure to adopt new and innovative procedures to reverse this negative public perception. Cultivating this oilseed crop outside the rainforest zone is only possible using artificial irrigation. Close to 30% of the world?s irrigated agricultural lands also face problems due to salinity stress. Consequently, the research community must consider drought and salinity together when studying to empower breeding programs in order to develop superior genotypes adapted to those potential new areas for oil palm cultivation. Multi-Omics Integration (MOI) offers a new window of opportunity for the non-trivial challenge of unraveling the mechanisms behind multigenic traits, such as drought and salinity tolerance. The current study carried out a comprehensive, large-scale, single-omics analysis (SOA), and MOI study on the leaves of young oil palm plants submitted to very high salinity stress. Taken together, a total of 1239 proteins were positively regulated, and 1660 were negatively regulated in transcriptomics and proteomics analyses. Meanwhile, the metabolomics analysis revealed 37 metabolites that were upregulated and 92 that were downregulated. After performing SOA, 436 differentially expressed (DE) full-length transcripts, 74 DE proteins, and 19 DE metabolites ffected by this stress, with at least one DE molecule in all three omics platforms used. The Cysteine and methionine metabolism (map00270) and Glycolysis/Gluconeogenesis (map00010) pathways were the most affected ones, each one with 20 DE molecules. MenosOil palm (Elaeis guineensis Jacq.) is the number one source of consumed vegetable oil nowadays. It is cultivated in areas of tropical rainforest, where it meets its natural condition of high rainfall throughout the year. The palm oil industry faces criticism due to a series of practices that was considered not environmentally sustainable, and it finds itself under pressure to adopt new and innovative procedures to reverse this negative public perception. Cultivating this oilseed crop outside the rainforest zone is only possible using artificial irrigation. Close to 30% of the world?s irrigated agricultural lands also face problems due to salinity stress. Consequently, the research community must consider drought and salinity together when studying to empower breeding programs in order to develop superior genotypes adapted to those potential new areas for oil palm cultivation. Multi-Omics Integration (MOI) offers a new window of opportunity for the non-trivial challenge of unraveling the mechanisms behind multigenic traits, such as drought and salinity tolerance. The current study carried out a comprehensive, large-scale, single-omics analysis (SOA), and MOI study on the leaves of young oil palm plants submitted to very high salinity stress. Taken together, a total of 1239 proteins were positively regulated, and 1660 were negatively regulated in transcriptomics and proteomics analyses. Meanwhile, the metabolomics analysis revealed 37 metabolites that were upregulated and 92 t... Mostrar Tudo |
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Palavras-Chave: |
African oil palm; Integratomics. |
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Thesaurus NAL: |
Abiotic stress; Metabolomics; Proteomics; Transcriptomics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144868/1/MANOEL-SEG-12.15.00.007.00.19-Bittencourt-et-al-2022.pdf
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Marc: |
LEADER 02819naa a2200301 a 4500
001 2144868
005 2022-07-21
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/plants11131755$2DOI
100 1 $aBITTENCOURT, C. B.
245 $aInsights from a Multi-Omics Integration (MOI) Study in Oil Palm (Elaeis gineensis Jacq.) Response to Abiotic Stresses$bPart One?Salinity.$h[electronic resource]
260 $c2022
520 $aOil palm (Elaeis guineensis Jacq.) is the number one source of consumed vegetable oil nowadays. It is cultivated in areas of tropical rainforest, where it meets its natural condition of high rainfall throughout the year. The palm oil industry faces criticism due to a series of practices that was considered not environmentally sustainable, and it finds itself under pressure to adopt new and innovative procedures to reverse this negative public perception. Cultivating this oilseed crop outside the rainforest zone is only possible using artificial irrigation. Close to 30% of the world?s irrigated agricultural lands also face problems due to salinity stress. Consequently, the research community must consider drought and salinity together when studying to empower breeding programs in order to develop superior genotypes adapted to those potential new areas for oil palm cultivation. Multi-Omics Integration (MOI) offers a new window of opportunity for the non-trivial challenge of unraveling the mechanisms behind multigenic traits, such as drought and salinity tolerance. The current study carried out a comprehensive, large-scale, single-omics analysis (SOA), and MOI study on the leaves of young oil palm plants submitted to very high salinity stress. Taken together, a total of 1239 proteins were positively regulated, and 1660 were negatively regulated in transcriptomics and proteomics analyses. Meanwhile, the metabolomics analysis revealed 37 metabolites that were upregulated and 92 that were downregulated. After performing SOA, 436 differentially expressed (DE) full-length transcripts, 74 DE proteins, and 19 DE metabolites ffected by this stress, with at least one DE molecule in all three omics platforms used. The Cysteine and methionine metabolism (map00270) and Glycolysis/Gluconeogenesis (map00010) pathways were the most affected ones, each one with 20 DE molecules.
650 $aAbiotic stress
650 $aMetabolomics
650 $aProteomics
650 $aTranscriptomics
653 $aAfrican oil palm
653 $aIntegratomics
700 1 $aSILVA, T. L. C. da
700 1 $aRODRIGUES NETO, J. C.
700 1 $aVIEIRA, L. R.
700 1 $aLEAO, A. P.
700 1 $aRIBEIRO, J. A. de A.
700 1 $aABDELNUR, P. V.
700 1 $aSOUSA, C. A. F. de
700 1 $aSOUZA JUNIOR, M. T.
773 $tPlants, 11$gn. 1755, 2022.
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