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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrossilvipastoril. Para informações adicionais entre em contato com cpamt.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
08/07/2019 |
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Data da última atualização: |
04/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDREA, M. C. da S.; VIEIRA, F. F.; DALLACORT, R.; BARBIERI, J. D.; FREITAS, P. S. L. de; TIEPPO, R. C.; ZOLIN, C. A.; KRAUSE, W.; DANIEL, D. F. |
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Afiliação: |
MARIA CAROLINA DA SILVA ANDREA, UNEMAT, Tangará da Serra, MT; FRANCIELLE FREITAS VIEIRA, UNEMAT, Tangará da Serra, MT; RIVANILDO DALLACORT, UNEMAT, Tangará da Serra, MT; JOÃO DANILO BARBIERI, UEM, Maringa, PR; PAULO SÉRGIO LOURENÇO DE FREITAS, UEM, Maringa, PR; RAFAEL CESAR TIEPPO, UNEMAT, Tangará da Serra, MT; CORNELIO ALBERTO ZOLIN, CPAMT; WILLIAN KRAUSE, UNEMAT, Tangará da Serra, MT; DIEGO FERNANDO DANIEL, UNEMAT, Tangará da Serra, MT. |
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Título: |
Effect of soil coverage on dual crop coefficient of maize in a region of Mato Grosso, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 11, n. 14, p. 143-155, 2019. |
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ISSN: |
1916-9752 |
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Idioma: |
Inglês |
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Conteúdo: |
With the objective of determining maize?s specific water requirements in different soil cover conditions in a Cerrado region of Mato Grosso, Brazil, this study used the dual?s crop coefficient (Kc dual) approach, according to FAO methods. An experiment was carried out in 2016, with three treatments: without vegetation soil cover; soil cover of 4 t ha-1 and soil cover of 8 t ha-1 dry matter of brachiaria grass. The used methodology accounts for crop?s transpiration component (through its basal coefficient, Kcb) and soil evaporation component (through its coefficient, Ke), which were determined for initial, intermediate and final phases of crop development. Experiments were carried in lysimeters to determine crop?s evapotranspiration, and in microlysimeters to determine soil evaporation. Crop?s transpiration, on three soil coverage treatments, showed overall highest values for the treatment with greater coverage (Kcb maximum values of 0.88, 1.00 and 1.03 from the lowest to greater soil coverage), while between crop?s phases, coefficient values were always higher at the intermediate stage, presenting decreases with crop senescence. Soil evaporation was highest on treatment without coverage in all crop?s stages (Ke = 0.37-0.78) and lowest in the treatment with greater coverage (Ke = 0.11-0.35). Yields were higher on treatments with coverage (9929.18 and 9939.52 kg ha-1 for treatments with 4 and 8 t ha-1) and lower when cultivated in soil without cover (8264.67 kg ha-1). Despite relatively higher crop?s transpiration with greater soil coverage, this treatment was identified as the best management option in the assessed tropical region of Brazilian Cerrado, in terms of rational use of water, due to lowest losses through evaporation, as also providing the highest grain yields. MenosWith the objective of determining maize?s specific water requirements in different soil cover conditions in a Cerrado region of Mato Grosso, Brazil, this study used the dual?s crop coefficient (Kc dual) approach, according to FAO methods. An experiment was carried out in 2016, with three treatments: without vegetation soil cover; soil cover of 4 t ha-1 and soil cover of 8 t ha-1 dry matter of brachiaria grass. The used methodology accounts for crop?s transpiration component (through its basal coefficient, Kcb) and soil evaporation component (through its coefficient, Ke), which were determined for initial, intermediate and final phases of crop development. Experiments were carried in lysimeters to determine crop?s evapotranspiration, and in microlysimeters to determine soil evaporation. Crop?s transpiration, on three soil coverage treatments, showed overall highest values for the treatment with greater coverage (Kcb maximum values of 0.88, 1.00 and 1.03 from the lowest to greater soil coverage), while between crop?s phases, coefficient values were always higher at the intermediate stage, presenting decreases with crop senescence. Soil evaporation was highest on treatment without coverage in all crop?s stages (Ke = 0.37-0.78) and lowest in the treatment with greater coverage (Ke = 0.11-0.35). Yields were higher on treatments with coverage (9929.18 and 9939.52 kg ha-1 for treatments with 4 and 8 t ha-1) and lower when cultivated in soil without cover (8264.67 kg ha-1). Despite ... Mostrar Tudo |
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Thesagro: |
Cerrado; Milho; Zea Mays. |
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Thesaurus Nal: |
Cerrado soils; Crop coefficient; Evaporation; Lysimeters; Soil water. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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Marc: |
LEADER 02697naa a2200325 a 4500
001 2110476
005 2019-12-04
008 2019 bl uuuu u00u1 u #d
022 $a1916-9752
100 1 $aANDREA, M. C. da S.
245 $aEffect of soil coverage on dual crop coefficient of maize in a region of Mato Grosso, Brazil.$h[electronic resource]
260 $c2019
520 $aWith the objective of determining maize?s specific water requirements in different soil cover conditions in a Cerrado region of Mato Grosso, Brazil, this study used the dual?s crop coefficient (Kc dual) approach, according to FAO methods. An experiment was carried out in 2016, with three treatments: without vegetation soil cover; soil cover of 4 t ha-1 and soil cover of 8 t ha-1 dry matter of brachiaria grass. The used methodology accounts for crop?s transpiration component (through its basal coefficient, Kcb) and soil evaporation component (through its coefficient, Ke), which were determined for initial, intermediate and final phases of crop development. Experiments were carried in lysimeters to determine crop?s evapotranspiration, and in microlysimeters to determine soil evaporation. Crop?s transpiration, on three soil coverage treatments, showed overall highest values for the treatment with greater coverage (Kcb maximum values of 0.88, 1.00 and 1.03 from the lowest to greater soil coverage), while between crop?s phases, coefficient values were always higher at the intermediate stage, presenting decreases with crop senescence. Soil evaporation was highest on treatment without coverage in all crop?s stages (Ke = 0.37-0.78) and lowest in the treatment with greater coverage (Ke = 0.11-0.35). Yields were higher on treatments with coverage (9929.18 and 9939.52 kg ha-1 for treatments with 4 and 8 t ha-1) and lower when cultivated in soil without cover (8264.67 kg ha-1). Despite relatively higher crop?s transpiration with greater soil coverage, this treatment was identified as the best management option in the assessed tropical region of Brazilian Cerrado, in terms of rational use of water, due to lowest losses through evaporation, as also providing the highest grain yields.
650 $aCerrado soils
650 $aCrop coefficient
650 $aEvaporation
650 $aLysimeters
650 $aSoil water
650 $aCerrado
650 $aMilho
650 $aZea Mays
700 1 $aVIEIRA, F. F.
700 1 $aDALLACORT, R.
700 1 $aBARBIERI, J. D.
700 1 $aFREITAS, P. S. L. de
700 1 $aTIEPPO, R. C.
700 1 $aZOLIN, C. A.
700 1 $aKRAUSE, W.
700 1 $aDANIEL, D. F.
773 $tJournal of Agricultural Science$gv. 11, n. 14, p. 143-155, 2019.
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Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
26/10/2022 |
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Data da última atualização: |
01/11/2022 |
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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: |
AIRES, U. R. V.; SILVA, D. D. da; FERNANDES FILHO, E. I.; RODRIGUES, L. N.; ULIANA, E. M.; AMORIM, R. S. S.; RIBEIRO, C. B. de M.; CAMPOS, J. A. |
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Afiliação: |
UILSON RICARDO VENANCIO AIRES; DEMETRIUS DAVID DA SILVA; ELPÍDIO INACIO FERNANDES FILHO; LINEU NEIVA RODRIGUES, CPAC; EDUARDO MORGAN ULIANA; RICARDO SANTOS SILVA AMORIM; CELSO BANDEIRA DE MELO RIBEIRO; JASMINE ALVES CAMPOS. |
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Título: |
Modeling of surface sediment concentration in the Doce River basin using satellite remote sensing. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of Environmental Management, v. 323, 2022. |
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Páginas: |
15 p. |
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DOI: |
https://doi.org/10.1016/j.jenvman.2022.116207 |
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Idioma: |
Inglês |
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Conteúdo: |
A B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC reduction in the Doce river channel in recent years, indicating that part of the material from the Fund?ao tailings dam rupture may have been transported through sediment resuspension and transport processes. MenosA B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC ... Mostrar Tudo |
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Thesagro: |
Barragem; Satélite; Sedimento. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02504naa a2200265 a 4500
001 2147819
005 2022-11-01
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jenvman.2022.116207$2DOI
100 1 $aAIRES, U. R. V.
245 $aModeling of surface sediment concentration in the Doce River basin using satellite remote sensing.$h[electronic resource]
260 $c2022
300 $a15 p.
520 $aA B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC reduction in the Doce river channel in recent years, indicating that part of the material from the Fund?ao tailings dam rupture may have been transported through sediment resuspension and transport processes.
650 $aBarragem
650 $aSatélite
650 $aSedimento
700 1 $aSILVA, D. D. da
700 1 $aFERNANDES FILHO, E. I.
700 1 $aRODRIGUES, L. N.
700 1 $aULIANA, E. M.
700 1 $aAMORIM, R. S. S.
700 1 $aRIBEIRO, C. B. de M.
700 1 $aCAMPOS, J. A.
773 $tJournal of Environmental Management$gv. 323, 2022.
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