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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
17/01/2019 |
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Data da última atualização: |
29/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VALENTE, E. C. N.; BROGLIO, S. M. F.; DIAS, N. da S.; LIMA, A. S. T. de; MICHELETTI, L. B. |
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Afiliação: |
Ellen Carine Neves Valente, Universidade Federal de Alagoas; Sônia Maria Forti Broglio, Universidade Federal de Alagoas; NIVIA DA SILVA DIAS PINI, CNPAT; André Suêldo Tavares de Lima, Instituto Federal de Educação, Ciência e Tecnologia de Alagoas; Lígia Broglio Micheletti, Universidade Federal de Alagoas. |
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Título: |
Record of Digonogastra sp. (Hymenoptera: Braconidae) parasitizing Diatraea flavipennella (Lepidoptera: Crambidae) in Alagoas, Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Revista Caatinga, Mossoró, v. 31, n. 2, p. 511-514, 2018. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Idiobionte. |
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Thesagro: |
Cana de Açúcar. |
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Thesaurus Nal: |
Occurrence; Parasitoids; Sugarcane. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/191153/1/ART18113.pdf
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Marc: |
LEADER 00699naa a2200217 a 4500
001 2104468
005 2019-01-29
008 2018 bl uuuu u00u1 u #d
100 1 $aVALENTE, E. C. N.
245 $aRecord of Digonogastra sp. (Hymenoptera$bBraconidae) parasitizing Diatraea flavipennella (Lepidoptera: Crambidae) in Alagoas, Brazil.$h[electronic resource]
260 $c2018
650 $aOccurrence
650 $aParasitoids
650 $aSugarcane
650 $aCana de Açúcar
653 $aIdiobionte
700 1 $aBROGLIO, S. M. F.
700 1 $aDIAS, N. da S.
700 1 $aLIMA, A. S. T. de
700 1 $aMICHELETTI, L. B.
773 $tRevista Caatinga, Mossoró$gv. 31, n. 2, p. 511-514, 2018.
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Meio Ambiente. |
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Data corrente: |
10/01/2024 |
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Data da última atualização: |
02/04/2024 |
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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: |
SILVA, F. A. M. da; OLIVEIRA, A. D. de; CARVALHO, A. M. de; MARCHAO, R. L.; LUIZ, A. J. B.; RIBEIRO, F. P.; MULLER, A. G. |
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Afiliação: |
FERNANDO ANTONIO MACENA DA SILVA, CPAC; ALEXSANDRA DUARTE DE OLIVEIRA, CPAC; ARMINDA MOREIRA DE CARVALHO, CPAC; ROBELIO LEANDRO MARCHAO, CPAC; ALFREDO JOSE BARRETO LUIZ, CNPMA; FABIANA PIONTEKOWSKI RIBEIRO; ARTUR GUSTAVO MULLER, CPAC. |
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Título: |
Effects of agricultural management and of climate change on N2O emissions in an area of the Brazilian Cerrado: Measurements and simulations using the STICS soil-crop model. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Agriculture, Ecosystems and Environment, v. 363, 2024. |
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Páginas: |
13 p. |
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DOI: |
https://doi.org/10.1016/j.agee.2023.108842 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Soil-plant simulation models have been ever more used as predictive tools to evaluate productivity and environmental impacts of agriculture practices. The aims of this work were to evaluate the STICS model’s capacity of simulate the emissions of nitrous oxide (N2O) under different management systems. And, to predict, by applying the calibrated and validated STICS model, the N2O emissions, under different management systems, in the edaphoclimatic conditions of the Brazilian Cerrado. The study was conducted in a long-term experiment at Embrapa Cerrados, located in Planaltina/DF, Brazil. The experiment started in 1995. The following land use systems were evaluated: CT - conventional tillage with disc harrow, and biannual grass/legume rotation; NT1 - No-tillage, with biannual crop rotation – soybean/sorghum; NT2 - No-tillage, with biannual crop rotation – maize/pigeon pea.Closed static chambers and gas sample analysis by gas chromatography were used to measure N2O fluxes. The model was calibrated with the data measured in the CT and NT1 treatments. The attributes used in the calibration were: growth, development and yield of crops and N2O fluxes. To test the model, data from the NT2 treatment was used. Data for all treatments were collected at the same time. After calibration and validation, the STICS model was used to predict the effects of soil management systems, conventional (CT) and no-tillage (NT) on greenhouse gas emissions and on grain and biomass crops production. The simulation was made for the period from 2021 to 2070. The STICS model performed well at simulation of the following parameters: N2O emissions, soil water dynamics, soil temperature; and leaf area, aerial biomass and grain yield of soybean and maize. The performance of the model was good for the conventional soil management system as well as in the no-tillage system. Based on the predicted increase in temperature for the period 2021–2070, we can conclude from the data generated through the STICS model that there is strong evidence that grain yield and total aerial biomass of plants will decrease. The data show that there is a rising tendency in N2O emissions over the simulated period. This is expected to occur for the two soil management systems studied (NT and CT). We believe this increase in emissions along the years is related to temperature increase and to the reduction of crop cycle. MenosAbstract: Soil-plant simulation models have been ever more used as predictive tools to evaluate productivity and environmental impacts of agriculture practices. The aims of this work were to evaluate the STICS model’s capacity of simulate the emissions of nitrous oxide (N2O) under different management systems. And, to predict, by applying the calibrated and validated STICS model, the N2O emissions, under different management systems, in the edaphoclimatic conditions of the Brazilian Cerrado. The study was conducted in a long-term experiment at Embrapa Cerrados, located in Planaltina/DF, Brazil. The experiment started in 1995. The following land use systems were evaluated: CT - conventional tillage with disc harrow, and biannual grass/legume rotation; NT1 - No-tillage, with biannual crop rotation – soybean/sorghum; NT2 - No-tillage, with biannual crop rotation – maize/pigeon pea.Closed static chambers and gas sample analysis by gas chromatography were used to measure N2O fluxes. The model was calibrated with the data measured in the CT and NT1 treatments. The attributes used in the calibration were: growth, development and yield of crops and N2O fluxes. To test the model, data from the NT2 treatment was used. Data for all treatments were collected at the same time. After calibration and validation, the STICS model was used to predict the effects of soil management systems, conventional (CT) and no-tillage (NT) on greenhouse gas emissions and on grain and biomass crops product... Mostrar Tudo |
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Palavras-Chave: |
Emissão de GEE; Tipo de solo. |
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Thesagro: |
Mudança Climática; Plantio Direto; Uso da Terra. |
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Categoria do assunto: |
--
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03330naa a2200277 a 4500
001 2160687
005 2024-04-02
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agee.2023.108842$2DOI
100 1 $aSILVA, F. A. M. da
245 $aEffects of agricultural management and of climate change on N2O emissions in an area of the Brazilian Cerrado$bMeasurements and simulations using the STICS soil-crop model.$h[electronic resource]
260 $c2024
300 $a13 p.
520 $aAbstract: Soil-plant simulation models have been ever more used as predictive tools to evaluate productivity and environmental impacts of agriculture practices. The aims of this work were to evaluate the STICS model’s capacity of simulate the emissions of nitrous oxide (N2O) under different management systems. And, to predict, by applying the calibrated and validated STICS model, the N2O emissions, under different management systems, in the edaphoclimatic conditions of the Brazilian Cerrado. The study was conducted in a long-term experiment at Embrapa Cerrados, located in Planaltina/DF, Brazil. The experiment started in 1995. The following land use systems were evaluated: CT - conventional tillage with disc harrow, and biannual grass/legume rotation; NT1 - No-tillage, with biannual crop rotation – soybean/sorghum; NT2 - No-tillage, with biannual crop rotation – maize/pigeon pea.Closed static chambers and gas sample analysis by gas chromatography were used to measure N2O fluxes. The model was calibrated with the data measured in the CT and NT1 treatments. The attributes used in the calibration were: growth, development and yield of crops and N2O fluxes. To test the model, data from the NT2 treatment was used. Data for all treatments were collected at the same time. After calibration and validation, the STICS model was used to predict the effects of soil management systems, conventional (CT) and no-tillage (NT) on greenhouse gas emissions and on grain and biomass crops production. The simulation was made for the period from 2021 to 2070. The STICS model performed well at simulation of the following parameters: N2O emissions, soil water dynamics, soil temperature; and leaf area, aerial biomass and grain yield of soybean and maize. The performance of the model was good for the conventional soil management system as well as in the no-tillage system. Based on the predicted increase in temperature for the period 2021–2070, we can conclude from the data generated through the STICS model that there is strong evidence that grain yield and total aerial biomass of plants will decrease. The data show that there is a rising tendency in N2O emissions over the simulated period. This is expected to occur for the two soil management systems studied (NT and CT). We believe this increase in emissions along the years is related to temperature increase and to the reduction of crop cycle.
650 $aMudança Climática
650 $aPlantio Direto
650 $aUso da Terra
653 $aEmissão de GEE
653 $aTipo de solo
700 1 $aOLIVEIRA, A. D. de
700 1 $aCARVALHO, A. M. de
700 1 $aMARCHAO, R. L.
700 1 $aLUIZ, A. J. B.
700 1 $aRIBEIRO, F. P.
700 1 $aMULLER, A. G.
773 $tAgriculture, Ecosystems and Environment$gv. 363, 2024.
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