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| Registros recuperados : 57 | |
| 23. |  | MALAGODI-BRAGA, K. S.; MORICONI, W.; QUEIROGA, J. L. de; URCHEI, M. A.; PAZIANOTTO, R. A. A.; RONCON, K. Active phloem sap collection by Trigona spinipes (Fabricius) (Hymenoptera, Apidae) in Artemisia annua Linn (Asteraceae). Acta Scientiarum. Biological Sciences, v. 41, e47548, 2019.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 25. | | PARAIBA, L. C.; PAZIANOTTO, R. A. A.; LUIZ, A. J. B.; MAIA, A. de H. N.; JONSSON, C. M. A mathematical model to estimate the volume of grey water of pesticide mixtures. In: REUNIÃO ANUAL DA REGIÃO BRASILEIRA DA SOCIEDADE INTERNACIONAL DE BIOMETRIA, 58.; SIMPÓSIO DE ESTATÍSTICA APLICADA À EXPERIMENTAÇÃO AGRONÔMICA, 15., 2013, Campina Grande. Modelagem estatística em áreas multidisciplinares: impactos causados pelas mudanças climáticas na Região Nordeste: anais. Campina Grande: Sociedade Internacional de Biometria, 2013. 1 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 26. | | PARAIBA, L. C.; PAZIANOTTO, R. A. A.; LUIZ, A. J. B.; MAIA, A. de H. N.; JONSSON, C. M. A mathematical model to estimate the volume of grey water of pesticide mixtures. Spanish Journal of Agricultural Research, Madrid, v. 12, n. 2, p. 509-518, 2014.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 28. | | HOLTZ, A. M.; MARINHO-PRADO, J. S.; PALLINI, A.; CLFLER, T. P.; ROCHA, TATIANE MARTINS; PAZIANOTTO, R. A. A. Host plant and the predator Podisus nigrispinus: when the defense compounds of the plant affect the third trophic level. Entomologia Experimentalis et Applicata, v. 167, n. 4, p. 306-312, 2019. Special issue: Host Plant Selection and feeding Ecology.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 29. | | MAIA, A. de H. N.; PAZIANOTTO, R. A. A.; LUIZ, A. J. B.; PRADO, J. S. M.; PERVEZ, A. Inference on arthropod demographic parameters: computational advances using R. Journal of Economic Entomology, College Park, v. 107, n. 1, p. 432-439, 2014.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 31. | | PENTEADO, L. F.; NOGUEIRA, S. F.; ANDRADE, C. A. de; RAMOS, N. P.; PAZIANOTTO, R. A. A.; GAROFALO, D. T. N2O emission factors for nitrogen fertilizers and animal excreta in pastures: a meta-analysis for Brazil. In: SEMINAR ON NATURE BASED SOLUTIONS IN AGRICULTURE AND FORESTRY, 1., 2023, São Paulo. Strategies for carbon capture and reduction of GHG emissions in Brasil: book of abstracts. São Paulo: USP/RCGI, 2023. Evento on-line. 2 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 35. | | SOUZA, D. R. C. de; PARAIBA, L. C.; PAZIANOTTO, R. A. A.; FERRACINI, V. L.; FERREIRA, J. M. S.; TALAMINI, V. Coeficiente de partição e fator de retardamento de pesticidas em estipe de coqueiros. In: ENCONTRO NACIONAL DE QUÍMICA ANALÍTICA, 19.; CONGRESSO IBERO-AMERICANO DE QUÍMICA ANALÍTICA, 7., 2018, Caldas Novas, GO. Inovação para a química analítica sustentável: livro de resumos... Caldas Novas: SBQ: UFG: UnB, 2018. p. 400.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 36. | | RAKOCEVIC, M.; BATISTA, E. R.; PAZIANOTTO, R. A. A.; SCHOLZ, M. B. S.; SOUZA, G. A. R.; CAMPOSTRINI, E.; RAMALHO, J. C. Leaf gas exchange and bean quality fluctuations over the whole canopy vertical profile of Arabic coffee cultivated under elevated CO2. Functional Plant Biology, v. 48, n. 5, p. 469-482, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 37. | | SILVA, M. G. da; PACKER, A. P.; SAMPAIO, F. G.; MARANI, L.; MARIANO, E. V. C.; PAZIANOTTO, R. A. A.; FERREIRA, W. J.; ALVALÁ, P. C. Impact of intensive fish farming on methane emission in a tropical hydropower reservoir. Climatic Change, v. 150, n. 3-4, p. 150-195, 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 39. | | NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; BRANDÃO, M.; ALVES, B. J. R.; MAY, A.; MATSUURA, M. I. da S. F. Estimating 20-year land-use change and derived CO2 emissions associated to crops, pasture and forestry in Brazil and each of its 27 states. Global Change Biology, v. 23, n. 9, p. 3716-3728, 2017.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
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| 40. | | SANTOS, M. S. dos; VILELA, E. S. D.; PAZIANOTTO, R. A. A.; REYNALDO, E. F.; SILVA, E. H. F. M. da; BUENO, A. C. S. O.; MAY, A. Evaluation of microbial and enzymatic communities in soil and rizosphere from soybean plants. African Crop Science Journal, v. 26, n. 1, p. 79-92, 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 57 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
29/01/2015 |
|
Data da última atualização: |
16/10/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
PARAIBA, L. C.; PAZIANOTTO, R. A. A.; LUIZ, A. J. B.; MAIA, A. de H. N.; JONSSON, C. M. |
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Afiliação: |
LOURIVAL COSTA PARAIBA, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; ALFREDO JOSE BARRETO LUIZ, CNPMA; ALINE DE HOLANDA NUNES MAIA, CNPMA; CLAUDIO MARTIN JONSSON, CNPMA. |
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Título: |
A mathematical model to estimate the volume of grey water of pesticide mixtures. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2014. São Carlos. Anais... São Carlos, SP: Embrapa Instrumentação, 2014. |
|
Páginas: |
p. 493-496. |
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Idioma: |
Inglês |
|
Conteúdo: |
Abstract: We propose a model to estimate the grey water footprint of crops by calculating the volume of water necessary to dilute pesticide mixtures reaching freshwaters. The model requires short-term toxicity data from aquatic organisms based on EC50 values, soil pesticide half-life and soil sorption coefficient values, and does not require maximum concentration limit acceptable in water. The lixiviation rate and runoff rate of each pesticide was estimated by attenuation factor and by Soilfug model, respectively. The usefulness of the proposed model was illustrated by estimating the volume of grey water required to dilute the 17 most widely used herbicides in sugarcane crops of Brazil. The grey water footprint corresponding to the recommended agronomic dose for each herbicide varied between 4.20×106 m3 yr-1 and 1.20×1012 m3 yr-1 and the grey water footprint of the mixture of herbicides was 2.36×1012 m3 yr-1 in a cultivated area of 8.4×106 ha. These results establish the ranking position of each herbicide in the composition of the grey water footprint of mixture of herbicides. The rank of each herbicide could be used to create a label to be placed on the package of the pesticide, thus informing farmers about the volume of grey water per hectare due to the use of this herbicide. |
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Palavras-Chave: |
Cana-de-açúcar; Herbicide. |
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Thesagro: |
Agrotóxico; Herbicida; Modelo matemático; Qualidade da água. |
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Thesaurus NAL: |
Environmental impact; Herbicides; Mathematical models; sugarcane; toxicity; water footprint; Water quality. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/116924/1/2014AA43.pdf
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|
Marc: |
LEADER 02299nam a2200325 a 4500
001 2007175
005 2015-10-16
008 2014 bl uuuu u00u1 u #d
100 1 $aPARAIBA, L. C.
245 $aA mathematical model to estimate the volume of grey water of pesticide mixtures.$h[electronic resource]
260 $aIn: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2014. São Carlos. Anais... São Carlos, SP: Embrapa Instrumentação$c2014
300 $ap. 493-496.
520 $aAbstract: We propose a model to estimate the grey water footprint of crops by calculating the volume of water necessary to dilute pesticide mixtures reaching freshwaters. The model requires short-term toxicity data from aquatic organisms based on EC50 values, soil pesticide half-life and soil sorption coefficient values, and does not require maximum concentration limit acceptable in water. The lixiviation rate and runoff rate of each pesticide was estimated by attenuation factor and by Soilfug model, respectively. The usefulness of the proposed model was illustrated by estimating the volume of grey water required to dilute the 17 most widely used herbicides in sugarcane crops of Brazil. The grey water footprint corresponding to the recommended agronomic dose for each herbicide varied between 4.20×106 m3 yr-1 and 1.20×1012 m3 yr-1 and the grey water footprint of the mixture of herbicides was 2.36×1012 m3 yr-1 in a cultivated area of 8.4×106 ha. These results establish the ranking position of each herbicide in the composition of the grey water footprint of mixture of herbicides. The rank of each herbicide could be used to create a label to be placed on the package of the pesticide, thus informing farmers about the volume of grey water per hectare due to the use of this herbicide.
650 $aEnvironmental impact
650 $aHerbicides
650 $aMathematical models
650 $asugarcane
650 $atoxicity
650 $awater footprint
650 $aWater quality
650 $aAgrotóxico
650 $aHerbicida
650 $aModelo matemático
650 $aQualidade da água
653 $aCana-de-açúcar
653 $aHerbicide
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aLUIZ, A. J. B.
700 1 $aMAIA, A. de H. N.
700 1 $aJONSSON, C. M.
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Embrapa Meio Ambiente (CNPMA) |
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