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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
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Data corrente: |
27/02/2024 |
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Data da última atualização: |
12/03/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LEMES, S. V. da R.; CAVALCANTE, R. dos S.; SÁ, M. E. L. de; MORGANTE, C. V.; SA, M. F. G. de. |
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Afiliação: |
SARA VITORINO DA ROCHA LEMES, UnB; RAÍRE DOS SANTOS CAVALCANTE; MARIA EUGÊNIA LISEI DE SÁ, EPAMIG; CAROLINA VIANNA MORGANTE, CPATSA; MARIA FATIMA GROSSI DE SA, Cenargen. |
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Título: |
Development of cotton plants with reduced susceptibility to Meloidogyne incognita through RNA interference approach. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia, 2023. |
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Páginas: |
p. 585. |
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Idioma: |
Inglês |
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Conteúdo: |
In this work, we used a biotechnological approach based on RNA interference (RNAi) to silence an essential gene of Meloidogyne incognita to develop a RKN-tolerant cotton plant. It was previously demonstrated that the knockdown of the pre-mRNA splicing factor (SF) gene was lethal to the nematode Caenorhabditis elegans. |
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Palavras-Chave: |
Nematoide das galhas; RNAi. |
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Thesagro: |
Algodão; Doença; Meloidogyne Incognita; Planta Transgênica. |
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Thesaurus Nal: |
Cotton; Root-knot nematodes; Transgenic plants. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162323/1/Development-of-cotton-plants-with-reduced-susceptibility-to-Meloidogyne-incognita-through-RNA-interference-approach.-2023.pdf
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Marc: |
LEADER 01235nam a2200277 a 4500
001 2162323
005 2024-03-12
008 2023 bl uuuu u00u1 u #d
100 1 $aLEMES, S. V. da R.
245 $aDevelopment of cotton plants with reduced susceptibility to Meloidogyne incognita through RNA interference approach.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 53., 2023, Brasília, DF. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia$c2023
300 $ap. 585.
520 $aIn this work, we used a biotechnological approach based on RNA interference (RNAi) to silence an essential gene of Meloidogyne incognita to develop a RKN-tolerant cotton plant. It was previously demonstrated that the knockdown of the pre-mRNA splicing factor (SF) gene was lethal to the nematode Caenorhabditis elegans.
650 $aCotton
650 $aRoot-knot nematodes
650 $aTransgenic plants
650 $aAlgodão
650 $aDoença
650 $aMeloidogyne Incognita
650 $aPlanta Transgênica
653 $aNematoide das galhas
653 $aRNAi
700 1 $aCAVALCANTE, R. dos S.
700 1 $aSÁ, M. E. L. de
700 1 $aMORGANTE, C. V.
700 1 $aSA, M. F. G. de
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
10/11/2022 |
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Data da última atualização: |
10/11/2022 |
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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: |
GENEROSO, T. N.; SILVA, D. D. da; AMORIM, R. S. S.; RODRIGUES, L. N.; SANTOS, E. P. dos. |
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Afiliação: |
TARCILA NEVES GENEROSO; DEMETRIUS DAVID DA SILVA; RICARDO SANTOS SILVA AMORIM; LINEU NEIVA RODRIGUES, CPAC; ERLI PINTO DOS SANTOS. |
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Título: |
Methodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Water Resources Management, 2022. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.1007/s11269-022-03259-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Both water balance (WB) and rating curve (RC) are methods for estimating streamflow. The first is mostly used to estimate reservoir outflows, while the second is usually adopted in hydrometeorological network streamflow gauges. While WB uses hourly collected data, the RC estimates streamflow using current water level and extrapolation techniques. The objective of this study was to analyze variations in the reservoir?s hourly outflow at Queimado Hydroelectric Power Plant (HPP Queimado) and to propose a method to evaluate whether the estimate of the daily outflows, obtained by the WB method, is similar to the flow values obtained at a conventional station. The logistic regression (LR) model was used because it is a method that adopts binary, categorically dependent variables to identify the event of interest. The results showed that the values of streamflow, obtained from an average of two daily readings, were a good representation of the flows in the region. The LR was able to identify atypical data, especially in the rainy season. This means that data consistency analysis can be faster and safer, when adequately employed and considering the proposed conditions, contributing to both management policies and the management of water resources. |
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Palavras-Chave: |
Estação medidora de vazão; Extrapolação; Modelagem. |
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Thesagro: |
Balanço Hídrico; Vazão. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02027naa a2200253 a 4500
001 2148189
005 2022-11-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11269-022-03259-1$2DOI
100 1 $aGENEROSO, T. N.
245 $aMethodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression.$h[electronic resource]
260 $c2022
300 $a14 p.
520 $aBoth water balance (WB) and rating curve (RC) are methods for estimating streamflow. The first is mostly used to estimate reservoir outflows, while the second is usually adopted in hydrometeorological network streamflow gauges. While WB uses hourly collected data, the RC estimates streamflow using current water level and extrapolation techniques. The objective of this study was to analyze variations in the reservoir?s hourly outflow at Queimado Hydroelectric Power Plant (HPP Queimado) and to propose a method to evaluate whether the estimate of the daily outflows, obtained by the WB method, is similar to the flow values obtained at a conventional station. The logistic regression (LR) model was used because it is a method that adopts binary, categorically dependent variables to identify the event of interest. The results showed that the values of streamflow, obtained from an average of two daily readings, were a good representation of the flows in the region. The LR was able to identify atypical data, especially in the rainy season. This means that data consistency analysis can be faster and safer, when adequately employed and considering the proposed conditions, contributing to both management policies and the management of water resources.
650 $aBalanço Hídrico
650 $aVazão
653 $aEstação medidora de vazão
653 $aExtrapolação
653 $aModelagem
700 1 $aSILVA, D. D. da
700 1 $aAMORIM, R. S. S.
700 1 $aRODRIGUES, L. N.
700 1 $aSANTOS, E. P. dos
773 $tWater Resources Management, 2022.
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