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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá; Embrapa Cerrados; Embrapa Solos. |
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Data corrente: |
15/08/1995 |
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Data da última atualização: |
23/01/2008 |
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Autoria: |
COLWELL, J. D.; SUHET, A. R.; RAIJ, B. van. |
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Título: |
Statistical procedures for developing general soil fertility models for variable regions. |
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Ano de publicação: |
1988 |
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Fonte/Imprenta: |
Australia: CSIRO, 1988. |
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Páginas: |
68p. |
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Série: |
(CSIRO. Division of Soils. Divisional Report, 93). |
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ISSN: |
0725-8526 |
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Idioma: |
Inglês |
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Conteúdo: |
Choice of models for the fertilizer-yeld relationship; Optimal economic rates of fertilizer application; Nature of the yeld variables; Choice of site variables; Computational procedures; Example development of a general model from 1 - fertilizer experiments; Example development of a general model from 2 - fertilizer experiments; Multinutrient models. Analysis of variance for a fertilizer experiment; Designs for fertilizer experiments; Need for orthogonal yeld variables for general models; Relation of yeld variables to orthogonal polynomial trends; The relative yeld device. |
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Palavras-Chave: |
Solos; Statiscal methods; Statistical methods. |
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Thesagro: |
Estatística; Fertilidade; Matemática; Método Estatístico; Modelo Matemático. |
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Thesaurus Nal: |
soil fertility; statistics. |
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Categoria do assunto: |
--
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01374nam a2200289 a 4500
001 1556080
005 2008-01-23
008 1988 bl uuuu 00u1 u #d
022 $a0725-8526
100 1 $aCOLWELL, J. D.
245 $aStatistical procedures for developing general soil fertility models for variable regions.
260 $aAustralia: CSIRO$c1988
300 $a68p.
490 $a(CSIRO. Division of Soils. Divisional Report, 93).
520 $aChoice of models for the fertilizer-yeld relationship; Optimal economic rates of fertilizer application; Nature of the yeld variables; Choice of site variables; Computational procedures; Example development of a general model from 1 - fertilizer experiments; Example development of a general model from 2 - fertilizer experiments; Multinutrient models. Analysis of variance for a fertilizer experiment; Designs for fertilizer experiments; Need for orthogonal yeld variables for general models; Relation of yeld variables to orthogonal polynomial trends; The relative yeld device.
650 $asoil fertility
650 $astatistics
650 $aEstatística
650 $aFertilidade
650 $aMatemática
650 $aMétodo Estatístico
650 $aModelo Matemático
653 $aSolos
653 $aStatiscal methods
653 $aStatistical methods
700 1 $aSUHET, A. R.
700 1 $aRAIJ, B. van.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Voltar
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria de Alimentos. Para informações adicionais entre em contato com ctaa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
08/01/2015 |
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Data da última atualização: |
18/02/2016 |
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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: |
NEVES JUNIOR, A. C. V.; MELO, A.; PINHO, C.; CONEGLIAN, R. C. C.; SOARES, A. G.; FERREIRA, I. M. P. L. V. O. |
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Afiliação: |
AUGUSTO C. V. NEVES JUNIOR, UFRJ; ARMINDO MELO, UNIVERSIDADE DO PORTO; CARINA PINHO, UNIVERSIDADE DO PORTO; REGINA C. C. CONEGLIAN, UFRRJ; ANTONIO GOMES SOARES, CTAA; ISABEL M. P. L. V. O. FERREIRA, UNIVERSIDADE DO PORTO. |
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Título: |
Response surface methodology for optimization of cyanamide analysis by in situ derivatization and dispersive liquid-liquid microextraction. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Journal of chemometrics, v. 28, n. 9, p. 716-724, may 2014. |
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DOI: |
10.1002/cem.2639 |
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Idioma: |
Inglês |
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Conteúdo: |
Cyanamide is widely used for agricultural purposes; therefore, its residues can be found in water. A new method was developed for its quantification usingin situ derivatization with 2,6-dimethyl-4-quinolinecarboxylic acid N-hydroxysuccinimide ester followed by dispersive liquid–liquid microextraction (DLLME) and high-performance liquid chromatography/fluorescence analysis. Multivariate chemometric techniques were successfully used to obtain the optimum conditions for direct derivatization and DLLME extraction. Derivatization parameters and DLLME extraction conditions were optimized by a two-step design, 2k factorial design for screening, and central composite design for optimization. Best derivatization conditions were addition of 600?L of derivatizing reagent, a temperature of 4ºC, and pH 8.5, whereas for optimum extraction 800?L of solvent, 30% NaCl conc. w/v, and pH 3.8 were chosen. The analytical performance of the method for routine analysis was evaluated. Excellent linearity was achieved from 10 to 200?gL -1with a correlation factor of 0.9996. Precision ranged from 3.5% to 5.5% for intraday assays and 8.5% to 8.6% for interday assays. The mean recoveries performed on water from different origins (ground, river,sea, tap, and mineral) at three levels of concentration (20, 75, and 200?gL-1) ranged from 90.2% to 110.2%. |
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Palavras-Chave: |
Análise quimiométrico; Chemometric analyses; Cyanamide; Derivazação in situ; Dispersão líquido-líquido; Dispersive liquid-liquid; In situ derivatization; Microextração. |
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Thesaurus NAL: |
microextraction. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02306naa a2200301 a 4500
001 2004825
005 2016-02-18
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1002/cem.2639$2DOI
100 1 $aNEVES JUNIOR, A. C. V.
245 $aResponse surface methodology for optimization of cyanamide analysis by in situ derivatization and dispersive liquid-liquid microextraction.
260 $c2014
520 $aCyanamide is widely used for agricultural purposes; therefore, its residues can be found in water. A new method was developed for its quantification usingin situ derivatization with 2,6-dimethyl-4-quinolinecarboxylic acid N-hydroxysuccinimide ester followed by dispersive liquid–liquid microextraction (DLLME) and high-performance liquid chromatography/fluorescence analysis. Multivariate chemometric techniques were successfully used to obtain the optimum conditions for direct derivatization and DLLME extraction. Derivatization parameters and DLLME extraction conditions were optimized by a two-step design, 2k factorial design for screening, and central composite design for optimization. Best derivatization conditions were addition of 600?L of derivatizing reagent, a temperature of 4ºC, and pH 8.5, whereas for optimum extraction 800?L of solvent, 30% NaCl conc. w/v, and pH 3.8 were chosen. The analytical performance of the method for routine analysis was evaluated. Excellent linearity was achieved from 10 to 200?gL -1with a correlation factor of 0.9996. Precision ranged from 3.5% to 5.5% for intraday assays and 8.5% to 8.6% for interday assays. The mean recoveries performed on water from different origins (ground, river,sea, tap, and mineral) at three levels of concentration (20, 75, and 200?gL-1) ranged from 90.2% to 110.2%.
650 $amicroextraction
653 $aAnálise quimiométrico
653 $aChemometric analyses
653 $aCyanamide
653 $aDerivazação in situ
653 $aDispersão líquido-líquido
653 $aDispersive liquid-liquid
653 $aIn situ derivatization
653 $aMicroextração
700 1 $aMELO, A.
700 1 $aPINHO, C.
700 1 $aCONEGLIAN, R. C. C.
700 1 $aSOARES, A. G.
700 1 $aFERREIRA, I. M. P. L. V. O.
773 $tJournal of chemometrics$gv. 28, n. 9, p. 716-724, may 2014.
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Embrapa Agroindústria de Alimentos (CTAA) |
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