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Registro Completo |
Biblioteca(s): |
Embrapa Agroenergia. |
Data corrente: |
04/12/2023 |
Data da última atualização: |
27/02/2024 |
Autoria: |
SALGADO, F. F.; SILVA, T. L. C. da; LEAO, A. P.; TOGAWA, R. C.; SOUSA, C. A. F. de; GRYNBERG, P.; SOUZA JUNIOR, M. T. |
Afiliação: |
FERNANDA FERREIRA SALGADO, FEDERAL UNIVERSITY OF LAVRAS; THALLITON LUIZ CARVALHO DA SILVA, FEDERAL UNIVERSITY OF LAVRAS; ANDRE PEREIRA LEAO, CNPAE; ROBERTO COITI TOGAWA, Cenargen; CARLOS ANTONIO FERREIRA DE SOUSA, CPAMN; PRISCILA GRYNBERG, Cenargen; MANOEL TEIXEIRA SOUZA JUNIOR, CNPAE. |
Título: |
Similarities in the behavior of transcription factors in young oil palm (Elaeis guineensis Jacq.) plants under salt or water stress provide strategies to develop stress-tolerant oil palm plants at once. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Preprints.Org, v. 1, 10 July 2023. Online. |
DOI: |
10.20944/preprints202307.0578.v1 |
Idioma: |
Inglês |
Conteúdo: |
In recent years, many studies have reported that several distinct families of transcription factor (TF) genes play crucial roles in the response of plants to abiotic stress. Although some of these families got systematically studied in many species, little knowledge exists about these genes in oil palm (Elaeis guineensis Jacq.). In this study, 20 genes differentially expressed in the leaves of oil palm plants subjected to salinity or drought stress and encoding TFs belonging to four families of TFs - MYB, HD-ZIP, NF-Y, and HSFF - got selected for further characterization. |
Palavras-Chave: |
Estresse abiótico; Tolerância; Transcriptoma. |
Thesagro: |
Salinidade; Seca. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01458naa a2200265 a 4500 001 2159099 005 2024-02-27 008 2023 bl uuuu u00u1 u #d 024 7 $a10.20944/preprints202307.0578.v1$2DOI 100 1 $aSALGADO, F. F. 245 $aSimilarities in the behavior of transcription factors in young oil palm (Elaeis guineensis Jacq.) plants under salt or water stress provide strategies to develop stress-tolerant oil palm plants at once.$h[electronic resource] 260 $c2023 520 $aIn recent years, many studies have reported that several distinct families of transcription factor (TF) genes play crucial roles in the response of plants to abiotic stress. Although some of these families got systematically studied in many species, little knowledge exists about these genes in oil palm (Elaeis guineensis Jacq.). In this study, 20 genes differentially expressed in the leaves of oil palm plants subjected to salinity or drought stress and encoding TFs belonging to four families of TFs - MYB, HD-ZIP, NF-Y, and HSFF - got selected for further characterization. 650 $aSalinidade 650 $aSeca 653 $aEstresse abiótico 653 $aTolerância 653 $aTranscriptoma 700 1 $aSILVA, T. L. C. da 700 1 $aLEAO, A. P. 700 1 $aTOGAWA, R. C. 700 1 $aSOUSA, C. A. F. de 700 1 $aGRYNBERG, P. 700 1 $aSOUZA JUNIOR, M. T. 773 $tPreprints.Org$gv. 1, 10 July 2023. Online.
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Embrapa Agroenergia (CNPAE) |
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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
Biblioteca(s): |
Embrapa Cerrados; Embrapa Meio Ambiente. |
Data corrente: |
10/01/2024 |
Data da última atualização: |
02/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
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. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Agriculture, Ecosystems and Environment, v. 363, 2024. |
Páginas: |
13 p. |
DOI: |
https://doi.org/10.1016/j.agee.2023.108842 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Emissão de GEE; Tipo de solo. |
Thesagro: |
Mudança Climática; Plantio Direto; Uso da Terra. |
Categoria do assunto: |
-- P Recursos Naturais, Ciências Ambientais e da Terra |
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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