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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
20/09/2023 |
Data da última atualização: |
03/10/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
DIAS, H. B.; CUADRA, S. V.; BOOTE, K. J.; LAMPARELLI, R. A. C.; FIGUEIREDO, G. K. D. A.; SUYKER, A. E.; MAGALHÃES, P. S. G.; HOOGENBOOM, G. |
Afiliação: |
HENRIQUE BORIOLO DIAS, UNIVERSIDADE ESTADUAL DE CAMPINAS; SANTIAGO VIANNA CUADRA, CNPTIA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; RUBENS AUGUSTO CAMARGO LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANDREW E. SUYKER, UNIVERSITY OF NEBRASKA; PAULO SÉRGIO GRAZIANO MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA. |
Título: |
Coupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model: an evaluation with data from an AmeriFlux site. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 342, 109697, 2023. |
ISSN: |
0168-1923 |
DOI: |
http://dx.doi.org/10.1016/j.agrformet.2023.109697 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchange, evapotranspiration and soil water balance. The crop model coupling into ECOSMOS preserves the known high skill of the CROPGRO-Soybean model in simulating soybean phenology and growth dynamics. The simulated yields were consistent with the observations at field level. Although the ECOSMOS-CROPGRO-Soybean model is sufficiently robust to simulate surface fluxes and crop performance of soybean agroecosystems at field scale for the environments of eastern Nebraska, further evaluation for a wide range of climatic and soil conditions and management practices is warranted. MenosAbstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchan... Mostrar Tudo |
Palavras-Chave: |
CO2 exchange; Crop modelling. |
Thesagro: |
Dióxido de Carbono; Evapotranspiração; Fenologia; Modelo de Simulação; Produtividade; Soja. |
Thesaurus Nal: |
Crop models; Eddy covariance; Evapotranspiration; Plant growth; Simulation models; Soybeans. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 03263naa a2200397 a 4500 001 2156796 005 2023-10-03 008 2023 bl uuuu u00u1 u #d 022 $a0168-1923 024 7 $ahttp://dx.doi.org/10.1016/j.agrformet.2023.109697$2DOI 100 1 $aDIAS, H. B. 245 $aCoupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model$ban evaluation with data from an AmeriFlux site.$h[electronic resource] 260 $c2023 520 $aAbstract: Process-based simulation models, such as land surface (LSM) and crop models, are useful tools for studying the impacts of the environment, management and genotype on agricultural production. LSM are capable of simulating crop development and growth, but not in as much detail as the processes embedded in crop models. Crop models, on the other hand, do not usually have the ability to solve the surface water, energy and carbon balances, which can help to assess the feedbacks between climate and agricultural systems. The goals of this study were first to implement the well-known Cropping System Model (CSM)-CROPGRO-Soybean model of the Decision Support System for Agrotechnology Transfer (DSSAT) into the Ecosystem Model Simulator (ECOSMOS) LSM and then to evaluate this coupling to simulate surface fluxes and crop performance of irrigated and rainfed soybean agroecosystems with comprehensive data from an AmeriFlux site. After model coupling, simulations were benchmarked against multiple flux (carbon dioxide, energy, and water), phenology, growth, and yield observations obtained from field scale experiments across 14 seasons from irrigated and rainfed fields near Mead, Nebraska. Calibration of the physiological parameters of ECOSMOS and of the CROPGRO-Soybean genetic coefficients was conducted. Common metrics were employed to assess model performance. Overall, the coupled model reproduced both the magnitude and seasonal patterns of the energy balance, carbon dioxide exchange, evapotranspiration and soil water balance. The crop model coupling into ECOSMOS preserves the known high skill of the CROPGRO-Soybean model in simulating soybean phenology and growth dynamics. The simulated yields were consistent with the observations at field level. Although the ECOSMOS-CROPGRO-Soybean model is sufficiently robust to simulate surface fluxes and crop performance of soybean agroecosystems at field scale for the environments of eastern Nebraska, further evaluation for a wide range of climatic and soil conditions and management practices is warranted. 650 $aCrop models 650 $aEddy covariance 650 $aEvapotranspiration 650 $aPlant growth 650 $aSimulation models 650 $aSoybeans 650 $aDióxido de Carbono 650 $aEvapotranspiração 650 $aFenologia 650 $aModelo de Simulação 650 $aProdutividade 650 $aSoja 653 $aCO2 exchange 653 $aCrop modelling 700 1 $aCUADRA, S. V. 700 1 $aBOOTE, K. J. 700 1 $aLAMPARELLI, R. A. C. 700 1 $aFIGUEIREDO, G. K. D. A. 700 1 $aSUYKER, A. E. 700 1 $aMAGALHÃES, P. S. G. 700 1 $aHOOGENBOOM, G. 773 $tAgricultural and Forest Meteorology$gv. 342, 109697, 2023.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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URL |
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Registros recuperados : 22 | |
7. | | BATTISTI, R.; SENTELHAS, P. C.; BOOTE, K. J.; CÂMARA, G. M. de S.; FARIAS, J. R. B.; BASSO, C. J. Assessment of yield with altered soybean traits for drought tolerance in southern Brazil. In: CONGRESSO BRASILEIRO DE SOJA, 7.; MERCOSOJA, 2015, Florianópolis. Tecnologia e mercado global: perspectivas para soja: anais. Londrina: Embrapa Soja, 2015. 3 p. 1 CD-ROM.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Soja. |
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9. | | DOMICIANO, L. F.; SANTOS, M. L. dos; BOOTE, K. J.; SANTOS, P. M.; PEREIRA, D. H.; PEDREIRA, B. C. e. Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems. Grassland Science, v. 67, n. 2, p. 93-101, 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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10. | | DOMICIANO, L. F.; SANTOS, M. L. dos; BOOTE, K. J.; SANTOS, P. M.; PEREIRA, D. H.; PEDREIRA, B. C. e. Physiological responses and forage accumulation of Marandu palisadegrass and Mombaça guineagrass to nitrogen fertilizer in the Brazilian forage-based systems. Grassland Science, v. 67, n. 2, p. 93-101, 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Agrossilvipastoril. |
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12. | | MORENO, L. S. B.; BOOTE, K. J.; SOLLENBERGER, L. D.; KOHMANN, M. M.; PEQUENO, D. N. L. Shade and nitrogen effects on regrowth dynamics, partitioning, and herbage production of Jiggs Bermudagrass and Mulato-2 brachiaria hybrid. In: ASA, CSSA-SSSA INTERNATIONAL ANNUAL MEETINGS, 2015, Minneapolis. Synergy in science: partnering for solutions: proceedings. Madison: American Soceity of Agronomy, 2015. Resumo 307-38.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pesca e Aquicultura. |
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13. | | SANTOS, M. L. dos; SANTOS, P. M.; BOOTE, K. J.; PEQUENO, D. N. L.; BARIONI, L. G.; CUADRA, S. V.; HOOGENBOOM, G. Applying the CROPGRO Perennial Forage Model for long-term estimates of Marandu palisadegrass production in livestock management scenarios in Brazil. Field Crops Research, v. 286, 108629, Oct. 2022. 16 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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14. | | DIAS, H. B.; CUADRA, S. V.; BOOTE, K. J.; LAMPARELLI, R. A. C.; FIGUEIREDO, G. K. D. A.; SUYKER, A. E.; MAGALHÃES, P. S. G.; HOOGENBOOM, G. Coupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model: an evaluation with data from an AmeriFlux site. Agricultural and Forest Meteorology, v. 342, 109697, 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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15. | | HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; SOUZA, T. L. P. O.; DIDONET, A. D.; DI STEFANO, J. G.; BOOTE, K. J.; JARVIS, A. Drought impact on rainfed common bean production areas in Brazil. Agricultural and Forest Meteorology, Amsterdam, v. 225, p. 57-74, Sept. 2016.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Arroz e Feijão. |
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16. | | BRUNETTI, H. B.; BOOTE, K. J.; SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDREIRA, C. G. S.; LARA, M. A. S.; MORENO, L. S. de B.; HOOGENBOOM, G. Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. Agronomy Journal, v. 113, n. 4, p. 3299-3314, July/Aug. 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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18. | | LARA, M. A. S.; PEDREIRA, C. G. S.; BOOTE, K. J.; PEDREIRA, B. C. e; MORENO, L. S. de B.; ALDERMAN, P. D. Predicting Growth of Panicum maximum: An Adaptation of the CROPGRO?Perennial Forage Model Agronomy Journal (Print), v. 104, n. 3, p. 600-611, 2012 104 600-611Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Pesca e Aquicultura. |
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19. | | SANTOS, R. D. dos; BOOTE, K. J.; SOLLENBERGER, L. E.; NEVES, A. L. A.; PEREIRA, L. G. R.; SCHERER, C. B.; GINÇALVES, L. C. Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. Frontiers in Plant Science, v. 8, article 2074, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Leite. |
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20. | | SANTOS, R. D. dos; BOOTE, K. J.; SOLLENBERGER, L. E.; NEVES, A. L. A.; PEREIRA, L. G. R.; SCHERER, C. B.; GONÇALVES, L. C. Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. Frontiers in Plant Science, v. 8, p. 1-11, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Semiárido. |
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Registros recuperados : 22 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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