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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
15/01/2019 |
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Data da última atualização: |
21/09/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
PEIXOTO, M. S.; JONSSON, C. M.; PARAIBA, L. C.; BARROS, L. C.; LODWICK, W. A. |
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Afiliação: |
Magda S. Peixoto, UFSCar; CLAUDIO MARTIN JONSSON, CNPMA; LOURIVAL COSTA PARAIBA, CNPMA; Laécio C. Barros, UNICAMP; Weldon A. Lodwick, University of Colorado, Denver. |
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Título: |
Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham. |
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Páginas: |
p. 489-499. |
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Idioma: |
Português |
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Conteúdo: |
Abstract: Agricultural practices that use various xenobiotics can contaminate surface water and groundwater with xenobiotics mixtures concentrations which cause serious risks to water quality and to the health of aquatic organisms that inhabit them. Xenobiotics in water when present as mixtures can exacerbate or reduce the toxic effects in aquatic organisms, when compared to the toxic effects of each individual component concentrations of the xenobiotics mixture. The objective of this study is to develop a mathematical method using ?-level of the fuzzy numbers with less accounts and simpler calculations to sort ecotoxicological effects in aquatic organisms of xenobiotics mixtures concentrations occurring in water, classifying them into antagonistic, additive or synergistic and also establishing the magnitude of the effects of concentrations of mixtures. The proposed method in this paper using fuzzy numbers can be suggested in protocols established by regulatory agencies to classify ecotoxicological effects of xenobiotics mixtures in water. |
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Palavras-Chave: |
Ecotoxicological; Fuzzy numbers. |
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Thesaurus Nal: |
mixtures. |
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Categoria do assunto: |
W Química e Física |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190534/1/CL-JonssonCM-et-al-FuzzyInformation...Springer-2018-p489.pdf
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Marc: |
LEADER 01811naa a2200217 a 4500
001 2104113
005 2023-09-21
008 2018 bl uuuu u00u1 u #d
100 1 $aPEIXOTO, M. S.
245 $aEstimating the xenobiotics mixtures toxicity on aquatic organisms$bthe use of alpha-level of the fuzzy number.$h[electronic resource]
260 $c2018
300 $ap. 489-499.
520 $aAbstract: Agricultural practices that use various xenobiotics can contaminate surface water and groundwater with xenobiotics mixtures concentrations which cause serious risks to water quality and to the health of aquatic organisms that inhabit them. Xenobiotics in water when present as mixtures can exacerbate or reduce the toxic effects in aquatic organisms, when compared to the toxic effects of each individual component concentrations of the xenobiotics mixture. The objective of this study is to develop a mathematical method using ?-level of the fuzzy numbers with less accounts and simpler calculations to sort ecotoxicological effects in aquatic organisms of xenobiotics mixtures concentrations occurring in water, classifying them into antagonistic, additive or synergistic and also establishing the magnitude of the effects of concentrations of mixtures. The proposed method in this paper using fuzzy numbers can be suggested in protocols established by regulatory agencies to classify ecotoxicological effects of xenobiotics mixtures in water.
650 $amixtures
653 $aEcotoxicological
653 $aFuzzy numbers
700 1 $aJONSSON, C. M.
700 1 $aPARAIBA, L. C.
700 1 $aBARROS, L. C.
700 1 $aLODWICK, W. A.
773 $tIn: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
10/03/2016 |
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Data da última atualização: |
16/03/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
KOCHKO, A. de; CROUZILLAT, D.; RIGOREAU, M.; LEPELLEY, M.; BELLANGER, L.; L'ANTHOENE, V. M.; VANDECASTEELE, C.; GUYOT, R.; PONCET, V.; TRANCHANT, C.; HAMON, P.; HAMON, S.; COUTURON, E.; DESCOMBES, P.; MOINE, D.; MUELLER, L.; STRICKLER, S. R.; ANDRADE, A.; PEREIRA, L. F. P.; MARRACCINI, P.; GIULIANO, G.; FIORE, A.; PIETRELLA, M.; APREA, G.; MING, R.; WAI, J.; DOMINGUES, D. S.; PASCHOAL, A.; KUHN, G.; KORLACH, J.; CHIN, J.; SANKOFF, D.; ZHENG, C.; ALBERT, V. A. |
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Afiliação: |
ALEXANDRE DE KOCHKO, IRD/UMR/DIADE; DOMINIQUE CROUZILLAT, Centre R&D Nestlé Tours; MICHEL RIGOREAU, Centre R&D Nestlé Torus; MAUD LEPELLEY, Centre R&D Nestlé Torus; LAURENCE BELLANGER, Centre R&D Nestlé Torus; VIRGINIE MEROT L'ANTHOENE, Centre R&D Nestlé Torus; CELINE VANDECASTEELE, Centre R&D Nestlé Torus; ROMAIN GUYOT, IRD/UMR/DIADE; VALERIE PONCET, IRD/UMR/DIAD; CHRISTINE TRANCHANT, IRD/UMR/DIADE; PERLA HAMON, IRD/UMR/DIADE; SERGE HAMON, IRD/UMR/DIADE; EMMANUEL COUTURON, IRD/UMR/DIADE; PATRICK DESCOMBES, NIHS; DEBORAH MOINE, NIHS; LUKAS MUELLER, Boyce Thompson Institute for Plant Research; SUSAN R. STRICKLER, Boyce Thompson Institute for Plant Research; ALAN CARVALHO ANDRADE, SAPC; LUIZ FILIPE PROTASIO PEREIRA, SAPC; PIERRE MARRACCINI, CIRAD; GIOVANNI GIULIANO, ENEA; ALESSIA FIORE, ENEA; MARCO PIETRELLA, ENEA; GIUSEPPE APREA, ENEA; RAY MING, University of Illinois Urbana; JENNIFER WAI, University of Illinois Urbana; DOUGLAS S. DOMINGUES, IAPAR; ALEXANDRE PASCHOAL, UFL; GERRIT KUHN, Pacific Biosciences; JONAS KORLACH, Pacific Biosciences; JASON CHIN, Pacific Biosciences; DAVID SANKOFF, University of Ottawa; CHUNFANG ZHENG, University of Ottawa; VICTOR A. ALBERT, University of Buffalo. |
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Título: |
Dihaploid Coffea arabica genome sequencing and assembly. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: PLANT AND ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA, USA. [Annals...]. [s.l], 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
Coffea arabica which accounts for 70% of world coffee production is an allotetraploid with a genome size of approximately 1.3 Gb and is derived from the hybridization of C. canephora (710 Mb) and C. eugenioides (670 Mb). To elucidate the evolutionary history of C. arabica, and generate critical information for breeding programs, a sequencing project is underway to finalize a reference genome using a dihaploid line and a set of Menu Abstract: Dihaploid Coffea arabica Genome Sequencing and Assembly (Plant and Animal Genome XXIII Conference) https://pag.confex.com/pag/xxiii/webprogram/Paper16983.html [25/02/2015 15:00:12] 30 C. arabica accessions. |
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Palavras-Chave: |
Conferência. |
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Thesagro: |
Café; Coffea Arábica. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/140934/1/Dihaploid-coffea.pdf
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Marc: |
LEADER 02074nam a2200541 a 4500
001 2040385
005 2016-03-16
008 2015 bl uuuu u00u1 u #d
100 1 $aKOCHKO, A. de
245 $aDihaploid Coffea arabica genome sequencing and assembly.$h[electronic resource]
260 $aIn: PLANT AND ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA, USA. [Annals...]. [s.l]$c2015
520 $aCoffea arabica which accounts for 70% of world coffee production is an allotetraploid with a genome size of approximately 1.3 Gb and is derived from the hybridization of C. canephora (710 Mb) and C. eugenioides (670 Mb). To elucidate the evolutionary history of C. arabica, and generate critical information for breeding programs, a sequencing project is underway to finalize a reference genome using a dihaploid line and a set of Menu Abstract: Dihaploid <em>Coffea arabica</Em> Genome Sequencing and Assembly (Plant and Animal Genome XXIII Conference) https://pag.confex.com/pag/xxiii/webprogram/Paper16983.html [25/02/2015 15:00:12] 30 C. arabica accessions.
650 $aCafé
650 $aCoffea Arábica
653 $aConferência
700 1 $aCROUZILLAT, D.
700 1 $aRIGOREAU, M.
700 1 $aLEPELLEY, M.
700 1 $aBELLANGER, L.
700 1 $aL'ANTHOENE, V. M.
700 1 $aVANDECASTEELE, C.
700 1 $aGUYOT, R.
700 1 $aPONCET, V.
700 1 $aTRANCHANT, C.
700 1 $aHAMON, P.
700 1 $aHAMON, S.
700 1 $aCOUTURON, E.
700 1 $aDESCOMBES, P.
700 1 $aMOINE, D.
700 1 $aMUELLER, L.
700 1 $aSTRICKLER, S. R.
700 1 $aANDRADE, A.
700 1 $aPEREIRA, L. F. P.
700 1 $aMARRACCINI, P.
700 1 $aGIULIANO, G.
700 1 $aFIORE, A.
700 1 $aPIETRELLA, M.
700 1 $aAPREA, G.
700 1 $aMING, R.
700 1 $aWAI, J.
700 1 $aDOMINGUES, D. S.
700 1 $aPASCHOAL, A.
700 1 $aKUHN, G.
700 1 $aKORLACH, J.
700 1 $aCHIN, J.
700 1 $aSANKOFF, D.
700 1 $aZHENG, C.
700 1 $aALBERT, V. A.
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Embrapa Café (CNPCa) |
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