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| 2. |  | BALBINO, L. C.; CORDEIRO, L. A. M.; PORFIRIO-DA-SILVA, V.; MORAES, A. de; MARTINEZ, G. B.; ALVARENGA, R. C.; KICHEL, A. N.; FONTANELI, R. S.; SANTOS, H. P. dos; FRANCHINI, J. C.; GALERANI, P. R. Evolução tecnológica e arranjos produtivos de sistemas de integração lavoura-pecuária-floresta no Brasil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 10, p.i-xii, out. 2011.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Florestas; Embrapa Gado de Corte; Embrapa Milho e Sorgo; Embrapa Soja; Embrapa Trigo; Embrapa Unidades Centrais. |
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| 3. | | BROWN, G. G.; DEMETRIO, W.; GABRIAC, Q.; PASINI, A.; KORASAKI, V.; OLIVEIRA, L.; FRANCHINI, J. C.; TORRES, E.; GALERANI, P. R.; GAZZIERO, D. L. P.; BENITO, N. P.; NUNES, D. H.; SANTOS, A.; FERREIRA, T.; NADOLNY, H. S.; BARTZ, M.; MASCHIO, W.; DUDAS, R. T.; ZAGATTO, M.; NIVA, C. C.; CLASEN, L.; SAUTTER, K.; FROUFE, L. C. M.; SEOANE, C. E. S.; MORAES, A. de; JAMES, S.; ALBERTON, O.; JÚNIOR, O. B.; SARAIVA, O. F.; GARCIA, A.; OLIVEIRA, E.; CÉSAR, R.; CORREA-FERREIRA, B. S.; BRUZ, L. S. M.; SILVA, E. da; CARDOSO, G. B. X.; LAVELLE, P.; VELÁSQUEZ, E.; CREMONESI, M.; PARRON, L. M.; BAGGIO, A. J.; NEVES, E. J. M.; HUNGRIA, M.; CAMPOS, T. A.; SILVA, V. L. da; REISSMANN, C. B.; CONRADO, A. C.; BOUILLET, J. D.; GONÇALVES, J. L. M.; BRANDANI, C. B.; VIANI, R. A. G.; PAULA, R. R.; LACLAU, J.; PEÑA-VENEGAS, C. P.; PERES, C.; DECAËNS, T.; PEY, B.; EISENHAUER, N.; COOPER, M.; MATHIEU, J. Soil macrofauna communities in Brazilian land-use systems. Biodiversity Data Journal, v. 12, e115000, 2024.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Soja; Embrapa Unidades Centrais. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
19/12/2023 |
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Data da última atualização: |
19/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARNIER, R.; ABREU, C. A. de; ANDRADE, C. A. de; FERNANDES, A. O.; SILVEIRA, A. P. D.; COSCIONE, A. R. |
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Afiliação: |
RUAN CARNIER, INSTITUTO AGRONÔMICO DE CAMPINAS; CLEIDE APARECIDA DE ABREU, INSTITUTO AGRONÔMICO DE CAMPINAS; CRISTIANO ALBERTO DE ANDRADE, CNPMA; ANA OLIVIA FERNANDES, INSTITUTO AGRONÔMICO DE CAMPINAS; ADRIANA PARADA DIAS SILVEIRA, INSTITUTO AGRONÔMICO DE CAMPINAS; ALINE RENÉE COSCIONE, INSTITUTO AGRONÔMICO DE CAMPINAS. |
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Título: |
Soil quality index as a tool to assess biochars soil quality improvement in a heavy metal-contaminated soil |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Environmental Geochemistry and Health, v. 45, n. 8, p. 6027-6041, 2023. |
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ISSN: |
0269-4042 |
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DOI: |
https://dx.doi.org/10.1007/s10653-023-01602-y |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The assessment of soil quality improvement provided by biochars is complex and rarely examined. In this work, soil quality indices (SQIs) were produced to evaluate coffee industry feedstock biochars improvement on soil quality samples of a heavy metal-multicontaminated soil. Therefore, a 90-day incubation experiment was carried out with the following treatments: contaminated soil (CT), contaminated soil with pH raised to 7.0 (CaCO3), contaminated soil + 5% (m/m) coffee ground biochar, and contaminated soil + 5% (m/m) coffee parchment biochar (PCM). After incubation, chemical and biological attributes were analyzed, and the data were subjected to principal component analysis and Pearson correlation to obtain a minimum dataset (MDS), which explain the majority of the variance of the data. The MDS-selected attributes were dehydrogenase and protease activity, exchangeable Ca content, phytoavailable content of Cu, and organic carbon, which composed the SQI. The resulting SQI ranged from 0.50 to 0.56, with the highest SQI obtained for the PCM treatment and the lowest for the CT. The phytoavailable content Cu was the determining factor for differentiating PCM from the other treatments, which was a biochar original attribute and helped to improve soil quality based on the SQI evaluation, further than heavy metal immobilization due to the soil sample pH increase. Longer-term experiments may illustrate clearer advantages of using biochar to improve heavy metal-contaminated soil quality, as physical attributes may also respond, and more significant contributions to biological attributes could be obtained as biochar ages. MenosAbstract: The assessment of soil quality improvement provided by biochars is complex and rarely examined. In this work, soil quality indices (SQIs) were produced to evaluate coffee industry feedstock biochars improvement on soil quality samples of a heavy metal-multicontaminated soil. Therefore, a 90-day incubation experiment was carried out with the following treatments: contaminated soil (CT), contaminated soil with pH raised to 7.0 (CaCO3), contaminated soil + 5% (m/m) coffee ground biochar, and contaminated soil + 5% (m/m) coffee parchment biochar (PCM). After incubation, chemical and biological attributes were analyzed, and the data were subjected to principal component analysis and Pearson correlation to obtain a minimum dataset (MDS), which explain the majority of the variance of the data. The MDS-selected attributes were dehydrogenase and protease activity, exchangeable Ca content, phytoavailable content of Cu, and organic carbon, which composed the SQI. The resulting SQI ranged from 0.50 to 0.56, with the highest SQI obtained for the PCM treatment and the lowest for the CT. The phytoavailable content Cu was the determining factor for differentiating PCM from the other treatments, which was a biochar original attribute and helped to improve soil quality based on the SQI evaluation, further than heavy metal immobilization due to the soil sample pH increase. Longer-term experiments may illustrate clearer advantages of using biochar to improve heavy metal-contaminated s... Mostrar Tudo |
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Palavras-Chave: |
Coffee waste; General Environmental Science; Microbial enzymes; Potentially toxic elements; Principal components analysis. |
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Thesagro: |
Café; Melhoramento do Solo; Poluição do Solo; Resíduo Agrícola; Resíduo Industrial. |
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Thesaurus NAL: |
biochar; Coffee beans; Crop residues; Heavy metals; Soil remediation; Soil treatment. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02876naa a2200397 a 4500
001 2160045
005 2023-12-19
008 2023 bl uuuu u00u1 u #d
022 $a0269-4042
024 7 $ahttps://dx.doi.org/10.1007/s10653-023-01602-y$2DOI
100 1 $aCARNIER, R.
245 $aSoil quality index as a tool to assess biochars soil quality improvement in a heavy metal-contaminated soil$h[electronic resource]
260 $c2023
520 $aAbstract: The assessment of soil quality improvement provided by biochars is complex and rarely examined. In this work, soil quality indices (SQIs) were produced to evaluate coffee industry feedstock biochars improvement on soil quality samples of a heavy metal-multicontaminated soil. Therefore, a 90-day incubation experiment was carried out with the following treatments: contaminated soil (CT), contaminated soil with pH raised to 7.0 (CaCO3), contaminated soil + 5% (m/m) coffee ground biochar, and contaminated soil + 5% (m/m) coffee parchment biochar (PCM). After incubation, chemical and biological attributes were analyzed, and the data were subjected to principal component analysis and Pearson correlation to obtain a minimum dataset (MDS), which explain the majority of the variance of the data. The MDS-selected attributes were dehydrogenase and protease activity, exchangeable Ca content, phytoavailable content of Cu, and organic carbon, which composed the SQI. The resulting SQI ranged from 0.50 to 0.56, with the highest SQI obtained for the PCM treatment and the lowest for the CT. The phytoavailable content Cu was the determining factor for differentiating PCM from the other treatments, which was a biochar original attribute and helped to improve soil quality based on the SQI evaluation, further than heavy metal immobilization due to the soil sample pH increase. Longer-term experiments may illustrate clearer advantages of using biochar to improve heavy metal-contaminated soil quality, as physical attributes may also respond, and more significant contributions to biological attributes could be obtained as biochar ages.
650 $abiochar
650 $aCoffee beans
650 $aCrop residues
650 $aHeavy metals
650 $aSoil remediation
650 $aSoil treatment
650 $aCafé
650 $aMelhoramento do Solo
650 $aPoluição do Solo
650 $aResíduo Agrícola
650 $aResíduo Industrial
653 $aCoffee waste
653 $aGeneral Environmental Science
653 $aMicrobial enzymes
653 $aPotentially toxic elements
653 $aPrincipal components analysis
700 1 $aABREU, C. A. de
700 1 $aANDRADE, C. A. de
700 1 $aFERNANDES, A. O.
700 1 $aSILVEIRA, A. P. D.
700 1 $aCOSCIONE, A. R.
773 $tEnvironmental Geochemistry and Health$gv. 45, n. 8, p. 6027-6041, 2023.
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