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Registro Completo |
Biblioteca(s): |
Embrapa Clima Temperado. |
Data corrente: |
05/07/2013 |
Data da última atualização: |
16/05/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
JABLONOWSKI, N. D.; KRUTZ, J. L.; MARTINAZZO, R.; ZAJKOSKA, P.; HAMACHER, G.; BORCHARD, N.; BURAUEL, P. |
Afiliação: |
Nicolai David Jablonowski, IBG-2: Plant Sciences, Institute of Bio- and Geosciences, Germany; Jason L. Krutz, Delta Research and Extension Service, Mississippi State University, United States; ROSANE MARTINAZZO, CPACT; Petra Zajkoska, Institute of Biotechnology and Food Science, Faculty of Chemical and Food Technology, Slovak University of Technology, Slovak Republic; Georg Hamacher, Carpus+Partner AG, Germany; Nils Borchard, IBG-3: Agrosphere, Institute of Bio- and Geosciences, Germany; Peter Burauel, Sustainable Campus, Germany. |
Título: |
Transfer of Atrazine degradation capability to mineralize aged 14C - Labeled Atrazine residues in soils. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Journal of Agricultural and Food Chemistry, Washington, DC, v. 61, p. 6161-6166, 2013. |
ISSN: |
1520-5118 |
DOI: |
dx.doi.org/10.1021/jf4010059 |
Idioma: |
Português |
Conteúdo: |
The degradation of environmentally long-term aged (22 years) 14C-labeled atrazine residues in soil stimulated by inoculation with atrazine-adapted soil from Belgium, the United States (U.S.), and Brazil at two different moisture regimes (50% WHCmax/slurried conditions) was evaluated. Inoculation of the soil containing the aged 14C-labeled atrazine residues with 5, 50, and 100% (w/w) Belgian, U.S., or Brazilian atrazine-adapted soil increased 14C-atrazine residue mineralization by a factor of 3.1? 13.9, depending upon the amount of atrazine-adapted soil inocula and the moisture conditions. Aged 14C-atrazine residue mineralization varied between 2 and 8% for Belgian and between 1 and 2% for U.S. and Brazilian soil inoculum at 50% WHCmax but was increased under slurried conditions, accounting for 8?10% (Belgian soil), 2?7% (Brazilian soil), and 3% (American soil). The results show that an increased degradation of long-term aged 14C-labeled atrazine residues is possible by the transfer of atrazine-adapted soil microflora from different soils and regions to non-adapted soil. |
Palavras-Chave: |
Bélgica; Brasil; Degradação do Solo; Estados Unidos; Soils. |
Thesagro: |
Agrotoxico; Defensivo; Mineralogia; Residuo Quimico; Solo. |
Thesaurus Nal: |
atrazine; Belgium; Brazil; Herbicides; Mineralization; Pesticide residues; Pesticides; Soil degradation; United States. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02306naa a2200445 a 4500 001 1961422 005 2017-05-16 008 2013 bl uuuu u00u1 u #d 022 $a1520-5118 024 7 $adx.doi.org/10.1021/jf4010059$2DOI 100 1 $aJABLONOWSKI, N. D. 245 $aTransfer of Atrazine degradation capability to mineralize aged 14C - Labeled Atrazine residues in soils.$h[electronic resource] 260 $c2013 520 $aThe degradation of environmentally long-term aged (22 years) 14C-labeled atrazine residues in soil stimulated by inoculation with atrazine-adapted soil from Belgium, the United States (U.S.), and Brazil at two different moisture regimes (50% WHCmax/slurried conditions) was evaluated. Inoculation of the soil containing the aged 14C-labeled atrazine residues with 5, 50, and 100% (w/w) Belgian, U.S., or Brazilian atrazine-adapted soil increased 14C-atrazine residue mineralization by a factor of 3.1? 13.9, depending upon the amount of atrazine-adapted soil inocula and the moisture conditions. Aged 14C-atrazine residue mineralization varied between 2 and 8% for Belgian and between 1 and 2% for U.S. and Brazilian soil inoculum at 50% WHCmax but was increased under slurried conditions, accounting for 8?10% (Belgian soil), 2?7% (Brazilian soil), and 3% (American soil). The results show that an increased degradation of long-term aged 14C-labeled atrazine residues is possible by the transfer of atrazine-adapted soil microflora from different soils and regions to non-adapted soil. 650 $aatrazine 650 $aBelgium 650 $aBrazil 650 $aHerbicides 650 $aMineralization 650 $aPesticide residues 650 $aPesticides 650 $aSoil degradation 650 $aUnited States 650 $aAgrotoxico 650 $aDefensivo 650 $aMineralogia 650 $aResiduo Quimico 650 $aSolo 653 $aBélgica 653 $aBrasil 653 $aDegradação do Solo 653 $aEstados Unidos 653 $aSoils 700 1 $aKRUTZ, J. L. 700 1 $aMARTINAZZO, R. 700 1 $aZAJKOSKA, P. 700 1 $aHAMACHER, G. 700 1 $aBORCHARD, N. 700 1 $aBURAUEL, P. 773 $tJournal of Agricultural and Food Chemistry, Washington, DC$gv. 61, p. 6161-6166, 2013.
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
03/02/2021 |
Data da última atualização: |
03/02/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FERREIRA, J. S. de A.; FERREIRA, A. P. L.; PEREZ, N. B. |
Afiliação: |
Jean Samarone de Almeida Ferreira, UNIPAMPA; Ana Paula Lüdtke Ferreira, UNIPAMPA; NAYLOR BASTIANI PEREZ, CPPSUL. |
Título: |
A hidden Markov chain approach to crop yield forecasting. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
International Journal on Computer Science and Information Systems, v. 15, n. 2, p. 148-160, 2020. |
ISSN: |
1646-3692 |
Idioma: |
Inglês |
Conteúdo: |
Prediction of harvest yield is an important and challenging problem. Attempts to solve this problem rely usually rely on regression techniques highly dependent on local factors. This paper presents a hidden Markov model approach for forecasting weight production. The model can deal with any culture or provided data. Results show that the model can capture both spatial and temporal harvest variability. Model analysis can help determine causes of variability, differently from regression or more straightforward Markov chain approaches. The resulting structure can benefit from statistical techniques for model tuning and model fitting. |
Palavras-Chave: |
Cadeia de Markov. |
Thesagro: |
Agricultura de Precisão; Colheita. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01236naa a2200193 a 4500 001 2129773 005 2021-02-03 008 2020 bl uuuu u00u1 u #d 022 $a1646-3692 100 1 $aFERREIRA, J. S. de A. 245 $aA hidden Markov chain approach to crop yield forecasting.$h[electronic resource] 260 $c2020 520 $aPrediction of harvest yield is an important and challenging problem. Attempts to solve this problem rely usually rely on regression techniques highly dependent on local factors. This paper presents a hidden Markov model approach for forecasting weight production. The model can deal with any culture or provided data. Results show that the model can capture both spatial and temporal harvest variability. Model analysis can help determine causes of variability, differently from regression or more straightforward Markov chain approaches. The resulting structure can benefit from statistical techniques for model tuning and model fitting. 650 $aAgricultura de Precisão 650 $aColheita 653 $aCadeia de Markov 700 1 $aFERREIRA, A. P. L. 700 1 $aPEREZ, N. B. 773 $tInternational Journal on Computer Science and Information Systems$gv. 15, n. 2, p. 148-160, 2020.
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