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| Registros recuperados : 10 | |
| 6. |  | BREMNER, J. M.; MCCARTY, G. W.; YEOMANS, J. C.; CHAI, H. S. Effects of phosphoroamides on nitrification, denitrification, and mineralization of organic nitrogen in soil. Commun. Soil Sci. Plant Anal., v. 17, n. 4, p.369-384, 1986.| Biblioteca(s): Embrapa Agrobiologia. |
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| 7. | | MADARI, B. E.; REEVES III, J. B.; MACHADO, P. L. O. A.; GUIMARÃES, C. M.; TORRES, E.; MCCARTY, G. W. Mid- and near-infrared spectroscopic assessment of soil compositional parameters and structural indices in two Ferralsols. Geoderma, v. 136, n. 1/2, p. 245-259, Dec. 2006.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Soja. |
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| 8. | | MADARI, B. E.; REEVES III, J. B.; COELHO, M. R.; MACHADO, P. L. O. de A.; DE-POLLI, H.; COELHO, R. M.; BENITES, V. de M.; SOUZA, L. F. de; McCARTY, G. W. Espectroscopia infravermelha para a determinação de carbono do solo: perspectiva de um método economicamente viável e ambientalmente seguro. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2006. 6 p. (Embrapa Arroz e Feijão. Comunicado Técnico, 126).| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | MADARI, B. E.; REEVES, J. B.; COELHO, M. R.; MACHADO, P. L. O. de A.; DE-POLLI, H.; COELHO, R. M.; BENITES, V. de M.; SOUZA, F. F. de; MCCARTY, G. W. Espectroscopia infravermelha para a determinação de carbono do solo: perspectiva de um método economicamente viável e ambientalmente seguro. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2006. 6 p. (Embrapa Arroz e Feijão. Comunicado Técnico, 126). Parcerias: Embrapa Arroz e Feijão; USDA; Embrapa Solos; IAC.| Biblioteca(s): Embrapa Agrobiologia. |
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| 10. | | MADARI, B. E.; REEVES, J. B.; COELHO, M. R.; MACHADO, P. L. O. A.; DE-POLLI, H.; COELHO, R. M.; BENITES, V. M.; SOUZA, L. F.; McCARTY, G. W. Mid- and near-infrared spectroscopic determination of carbon in a diverse set of soils from the Brazilian national soil collection. Spectroscopy Letters, v. 38, n. 6, p. 721-740, 2005.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Arroz e Feijão; Embrapa Solos. |
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| Registros recuperados : 10 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Soja. |
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Data corrente: |
15/08/2006 |
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Data da última atualização: |
14/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - B |
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Autoria: |
MADARI, B. E.; REEVES III, J. B.; MACHADO, P. L. O. A.; GUIMARÃES, C. M.; TORRES, E.; MCCARTY, G. W. |
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Afiliação: |
BEATA EMOKE MADARI, CNPAF; JAMES B. REEVES III, USDA; PEDRO LUIZ OLIVEIRA DE A MACHADO, CNPAF; CLEBER MORAIS GUIMARAES, CNPAF; ELENO TORRES, CNPSO; GREGORY W. MCCARTY, USDA. |
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Título: |
Mid- and near-infrared spectroscopic assessment of soil compositional parameters and structural indices in two Ferralsols. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Geoderma, v. 136, n. 1/2, p. 245-259, Dec. 2006. |
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Idioma: |
Inglês |
|
Conteúdo: |
Bulk soil samples (BS) (n=120) from long-term tillage experiments and areas covered by secondary natural forest were collected in the Brazilian savanna region (Cerrado) at Santo Antônio de Goiás, and southern Atlantic forest region at Londrina. Bulk soils were separated into 8 aggregate size fractions (ASF) by wet sieving (n=700). Bulk soil samples (BS) and ASF were analyzed for total C, N by dry combustion. BS were also analyzed for sand, silt, and clay by densitometry, and several measures of soil aggregation were determined. All samples were scanned in the mid- and near-infrared (Mid-IR, NIR) by diffuse reflectance of ground, non-KBr diluted samples using a Digilab FTS-7000 FTIR spectrometer equipped with a Pike Auto-Diff auto-sampler. Quantitative calibrations for the various analytes were performed separately for the original set of 120 BS samples and the set of 700 ASF samples using partial least squares regression (PLSR). Results for the set of 120 BS for total C and N were excellent using either spectral range with R2>0.97, except for C by Mid-IR (R2=0.93). Similar results were obtained for determinations of sand and clay (R2>0.94). Silt, determined by difference (100%-%sand-%clay), gave much lower R2 (0.80 and 0.63 for Mid-IR and NIR, respectively). For aggregation indices, R2 of ~0.80 were achieved in the Mid-IR, NIR results were not as good (R2<0.67). Efforts with the 700 ASF samples resulted in R2 of 0.98 and 0.96 for C, and 0.96 and 0.97 for N, for Mid-IR and NIR calibrations, respectively. Calibration efforts to determine the values for the set of 700 ASF samples using set of 120 BS from which they were fractionated gave R2=0.90 and 0.87 in the Mid-IR and NIR, respectively, when 5% of the ASF were added to the set of 120 BS. Spectral discrimination of sample source was easily and very accurately determined for all data sets examined. MenosBulk soil samples (BS) (n=120) from long-term tillage experiments and areas covered by secondary natural forest were collected in the Brazilian savanna region (Cerrado) at Santo Antônio de Goiás, and southern Atlantic forest region at Londrina. Bulk soils were separated into 8 aggregate size fractions (ASF) by wet sieving (n=700). Bulk soil samples (BS) and ASF were analyzed for total C, N by dry combustion. BS were also analyzed for sand, silt, and clay by densitometry, and several measures of soil aggregation were determined. All samples were scanned in the mid- and near-infrared (Mid-IR, NIR) by diffuse reflectance of ground, non-KBr diluted samples using a Digilab FTS-7000 FTIR spectrometer equipped with a Pike Auto-Diff auto-sampler. Quantitative calibrations for the various analytes were performed separately for the original set of 120 BS samples and the set of 700 ASF samples using partial least squares regression (PLSR). Results for the set of 120 BS for total C and N were excellent using either spectral range with R2>0.97, except for C by Mid-IR (R2=0.93). Similar results were obtained for determinations of sand and clay (R2>0.94). Silt, determined by difference (100%-%sand-%clay), gave much lower R2 (0.80 and 0.63 for Mid-IR and NIR, respectively). For aggregation indices, R2 of ~0.80 were achieved in the Mid-IR, NIR results were not as good (R2<0.67). Efforts with the 700 ASF samples resulted in R2 of 0.98 and 0.96 for C, and 0.96 and 0.97 for N, for Mid-IR and NI... Mostrar Tudo |
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Palavras-Chave: |
Mid-infrared; Near-infrared; PLSR. |
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Thesagro: |
Carbono; Espectrometria; Solo. |
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Thesaurus NAL: |
Carbon; Chemometrics; Near-infrared spectroscopy; soil; spectroscopy. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02768naa a2200313 a 4500
001 1205174
005 2022-05-14
008 2006 bl uuuu u00u1 u #d
100 1 $aMADARI, B. E.
245 $aMid- and near-infrared spectroscopic assessment of soil compositional parameters and structural indices in two Ferralsols.$h[electronic resource]
260 $c2006
520 $aBulk soil samples (BS) (n=120) from long-term tillage experiments and areas covered by secondary natural forest were collected in the Brazilian savanna region (Cerrado) at Santo Antônio de Goiás, and southern Atlantic forest region at Londrina. Bulk soils were separated into 8 aggregate size fractions (ASF) by wet sieving (n=700). Bulk soil samples (BS) and ASF were analyzed for total C, N by dry combustion. BS were also analyzed for sand, silt, and clay by densitometry, and several measures of soil aggregation were determined. All samples were scanned in the mid- and near-infrared (Mid-IR, NIR) by diffuse reflectance of ground, non-KBr diluted samples using a Digilab FTS-7000 FTIR spectrometer equipped with a Pike Auto-Diff auto-sampler. Quantitative calibrations for the various analytes were performed separately for the original set of 120 BS samples and the set of 700 ASF samples using partial least squares regression (PLSR). Results for the set of 120 BS for total C and N were excellent using either spectral range with R2>0.97, except for C by Mid-IR (R2=0.93). Similar results were obtained for determinations of sand and clay (R2>0.94). Silt, determined by difference (100%-%sand-%clay), gave much lower R2 (0.80 and 0.63 for Mid-IR and NIR, respectively). For aggregation indices, R2 of ~0.80 were achieved in the Mid-IR, NIR results were not as good (R2<0.67). Efforts with the 700 ASF samples resulted in R2 of 0.98 and 0.96 for C, and 0.96 and 0.97 for N, for Mid-IR and NIR calibrations, respectively. Calibration efforts to determine the values for the set of 700 ASF samples using set of 120 BS from which they were fractionated gave R2=0.90 and 0.87 in the Mid-IR and NIR, respectively, when 5% of the ASF were added to the set of 120 BS. Spectral discrimination of sample source was easily and very accurately determined for all data sets examined.
650 $aCarbon
650 $aChemometrics
650 $aNear-infrared spectroscopy
650 $asoil
650 $aspectroscopy
650 $aCarbono
650 $aEspectrometria
650 $aSolo
653 $aMid-infrared
653 $aNear-infrared
653 $aPLSR
700 1 $aREEVES III, J. B.
700 1 $aMACHADO, P. L. O. A.
700 1 $aGUIMARÃES, C. M.
700 1 $aTORRES, E.
700 1 $aMCCARTY, G. W.
773 $tGeoderma$gv. 136, n. 1/2, p. 245-259, Dec. 2006.
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