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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
06/10/2020 |
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Data da última atualização: |
07/10/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NOVOTNY, E. H.; TURETTA, A. P. D.; RESENDE, M. F.; REBELLO, C. M. |
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Afiliação: |
ETELVINO HENRIQUE NOVOTNY, CNPS; ANA PAULA DIAS TURETTA, CNPS; M. F. RESENDE; C. M. REBELLO. |
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Título: |
The quality of soil organic matter, accessed by C-13 solid state nuclear magnetic resonance, is just as important as its content concerning pesticide sorption. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Environmental Pollution, v. 266, pt. 1, 115298, Nov. 2020. |
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DOI: |
https://doi.org/10.1016/j.envpol.2020.115298 |
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Idioma: |
Inglês |
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Conteúdo: |
The global increase of food production has been achieved mainly through the intensive use of inputs such as pesticides. Once released to the soil, sorption (which could be represented by Freundlich solid-water distribution coefficients - KF) and degradation are two governing processes that determine the distribution and persistence of pesticides in the environment. In spite of the huge dataset, the only apparent generalisation is the high correlation between KF and soil organic matter (SOM) content. However, in this work no correlation was observed between KF and organic C content (OC) and so the obtained KOC (KF normalised by OC) spread out in a wide range: 1100 to 11,400 mL g-1 for abamectin; and 30-150 mL g-1 for atrazine, both ranges corroborate with data from literature. These high variabilities indicate that other soil components or SOM quality strongly interfere in the pesticide sorption in addition to SOM content. Seeking to estimate the influence of SOM quality in the abamectin and atrazine KOC values, the humic acids, a fraction of the SOM, was analysed by 13C nuclear magnetic resonance spectroscopy (13C NMR) and Principal Component (PC) Regression. The first PC of 13C NMR spectra presented negative loadings for aliphatic compounds and positive loadings for aryl C, typical of partially oxidised pyrogenic C. Their scores showed strong correlation with the abamectin KOC values (R2 = 0.91, p < 5 10-8) and weaker with atrazine KOC (R2 = 0.63, p < 0.0001), in addition to a smaller standardised slope: 1.01 for abamectin and 0.76 for atrazine. These results could be explained by the higher hydrophobicity of abamectin, being thus more prone to interact with the polycondensed aryl groups from the pyrogenic C. It is also important to highlight that humic acids are useful proxies for understanding the paramount interaction of SOM with pesticides. MenosThe global increase of food production has been achieved mainly through the intensive use of inputs such as pesticides. Once released to the soil, sorption (which could be represented by Freundlich solid-water distribution coefficients - KF) and degradation are two governing processes that determine the distribution and persistence of pesticides in the environment. In spite of the huge dataset, the only apparent generalisation is the high correlation between KF and soil organic matter (SOM) content. However, in this work no correlation was observed between KF and organic C content (OC) and so the obtained KOC (KF normalised by OC) spread out in a wide range: 1100 to 11,400 mL g-1 for abamectin; and 30-150 mL g-1 for atrazine, both ranges corroborate with data from literature. These high variabilities indicate that other soil components or SOM quality strongly interfere in the pesticide sorption in addition to SOM content. Seeking to estimate the influence of SOM quality in the abamectin and atrazine KOC values, the humic acids, a fraction of the SOM, was analysed by 13C nuclear magnetic resonance spectroscopy (13C NMR) and Principal Component (PC) Regression. The first PC of 13C NMR spectra presented negative loadings for aliphatic compounds and positive loadings for aryl C, typical of partially oxidised pyrogenic C. Their scores showed strong correlation with the abamectin KOC values (R2 = 0.91, p < 5 10-8) and weaker with atrazine KOC (R2 = 0.63, p < 0.0001), in addition t... Mostrar Tudo |
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Palavras-Chave: |
Abamectina; Ácidos húmicos; Agricultura conservacionista; Contaminação do solo. |
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Thesagro: |
Atrazina; Solo Tropical. |
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Thesaurus Nal: |
Abamectin; Atrazine; Humic acids; Tropical soils. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02817naa a2200289 a 4500
001 2125305
005 2020-10-07
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.envpol.2020.115298$2DOI
100 1 $aNOVOTNY, E. H.
245 $aThe quality of soil organic matter, accessed by C-13 solid state nuclear magnetic resonance, is just as important as its content concerning pesticide sorption.$h[electronic resource]
260 $c2020
520 $aThe global increase of food production has been achieved mainly through the intensive use of inputs such as pesticides. Once released to the soil, sorption (which could be represented by Freundlich solid-water distribution coefficients - KF) and degradation are two governing processes that determine the distribution and persistence of pesticides in the environment. In spite of the huge dataset, the only apparent generalisation is the high correlation between KF and soil organic matter (SOM) content. However, in this work no correlation was observed between KF and organic C content (OC) and so the obtained KOC (KF normalised by OC) spread out in a wide range: 1100 to 11,400 mL g-1 for abamectin; and 30-150 mL g-1 for atrazine, both ranges corroborate with data from literature. These high variabilities indicate that other soil components or SOM quality strongly interfere in the pesticide sorption in addition to SOM content. Seeking to estimate the influence of SOM quality in the abamectin and atrazine KOC values, the humic acids, a fraction of the SOM, was analysed by 13C nuclear magnetic resonance spectroscopy (13C NMR) and Principal Component (PC) Regression. The first PC of 13C NMR spectra presented negative loadings for aliphatic compounds and positive loadings for aryl C, typical of partially oxidised pyrogenic C. Their scores showed strong correlation with the abamectin KOC values (R2 = 0.91, p < 5 10-8) and weaker with atrazine KOC (R2 = 0.63, p < 0.0001), in addition to a smaller standardised slope: 1.01 for abamectin and 0.76 for atrazine. These results could be explained by the higher hydrophobicity of abamectin, being thus more prone to interact with the polycondensed aryl groups from the pyrogenic C. It is also important to highlight that humic acids are useful proxies for understanding the paramount interaction of SOM with pesticides.
650 $aAbamectin
650 $aAtrazine
650 $aHumic acids
650 $aTropical soils
650 $aAtrazina
650 $aSolo Tropical
653 $aAbamectina
653 $aÁcidos húmicos
653 $aAgricultura conservacionista
653 $aContaminação do solo
700 1 $aTURETTA, A. P. D.
700 1 $aRESENDE, M. F.
700 1 $aREBELLO, C. M.
773 $tEnvironmental Pollution$gv. 266, pt. 1, 115298, Nov. 2020.
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Registro original: |
Embrapa Solos (CNPS) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
31/10/2016 |
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Data da última atualização: |
09/02/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
JARDINE, J. G.; NESHICH, I. A. P.; MAZONI, I.; YANO, I. H.; MORAES, F. R. de; SALIM, J. A; BORRO, L.; NISHIMURA, L. S.; NESHICH, G. |
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Afiliação: |
JOSÉ GILBERTO JARDINE, CNPTIA; IZABELLA AGOSTINHO PENA NESHICH, Unicamp; IVAN MAZONI, CNPTIA; INÁCIO HENRIQUE YANO, CNPTIA; FÁBIO ROGÉRIO DE MORAES, Unesp; JOSÉ AUGUSTO SALIM, FEEC/Unicamp; LUIZ BORRO, Unicamp; LETÍCIA SAYURI NISHIMURA, Unicamp; GORAN NESHICH, CNPTIA. |
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Título: |
Computational Molecular Biology and its applications in agriculture. |
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Título original: |
Biologia computacional molecular e suas aplicações na agricultura. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; LUCHIARI JUNIOR, A.; ROMANI, L. A. S. (Ed.). Information and communication technologies and their relations with agriculture. Brasília, DF: Embrapa, 2016. ch. 6, |
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Páginas: |
p. 103-118. |
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ISBN: |
978-85-7035-582-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Computational Biology, a new applied science. Rational design of drugs, pharmaceuticals and agrochemicals. Computational Biology at Embrapa. |
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Palavras-Chave: |
Bioinformática; Biologia computacional. |
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Thesagro: |
Agricultura. |
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Thesaurus NAL: |
Agriculture; Bioinformatics. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01184naa a2200313 a 4500
001 2055668
005 2017-02-09
008 2016 bl uuuu u00u1 u #d
020 $a978-85-7035-582-9
100 1 $aJARDINE, J. G.
240 $aBiologia computacional molecular e suas aplicações na agricultura.
245 $aComputational Molecular Biology and its applications in agriculture.
260 $c2016
300 $ap. 103-118.
520 $aComputational Biology, a new applied science. Rational design of drugs, pharmaceuticals and agrochemicals. Computational Biology at Embrapa.
650 $aAgriculture
650 $aBioinformatics
650 $aAgricultura
653 $aBioinformática
653 $aBiologia computacional
700 1 $aNESHICH, I. A. P.
700 1 $aMAZONI, I.
700 1 $aYANO, I. H.
700 1 $aMORAES, F. R. de
700 1 $aSALIM, J. A
700 1 $aBORRO, L.
700 1 $aNISHIMURA, L. S.
700 1 $aNESHICH, G.
773 $tIn: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; LUCHIARI JUNIOR, A.; ROMANI, L. A. S. (Ed.). Information and communication technologies and their relations with agriculture. Brasília, DF: Embrapa, 2016. ch. 6
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