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Registro Completo |
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Biblioteca(s): |
Embrapa Solos; Embrapa Trigo. |
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Data corrente: |
27/11/2008 |
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Data da última atualização: |
26/10/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MARTORANO, L. G.; FARIA, R. T. de; BERGAMASCHI, H.; DALMAGO, G. A. |
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Afiliação: |
LUCIETA GUERREIRO MARTORANO, CNPS; ROGÉRIO T. DE FARIA, IAPAR; HOMERO BERGAMASCHI, UFRGS; GENEI ANTONIO DALMAGO, CNPT. |
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Título: |
Evaluation of the CROPGRO/DSSAT model performance for simulating plant growth and grain yield of soybeans, subjected to no-tillage and conventional systems in the subtropical Southern Brazil. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Italian Journal of Agronomy, v. 3, n. 3, p. 795-796, Jul./Sept. 2008. Suplemento. Trabalho apresentado no 10th Congress of the European Society for Agronomy, 2008, Bologna. |
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Idioma: |
Inglês |
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Conteúdo: |
During crop cycle, growth and phenological development are influenced by different factors such as weather conditions, genetic potential, soil fertility, and system management. Management practices influences soil water retention properties and consequently crop growth an yield. In Brazil, a paradigm chance in soil management has lead conventional tillage system to give room to no-tillage cropping system, due to impacts such as erosin processes and soil organic carbon losses. No-tillage is considered a conservationist system because it includes crop rotation, mulching and only minimum soil mobilization on the seeding line. Those practices promote higher soil water storage, which are attributed o improvement of mesoporosity and non-saturated soil hydraulic conductivity. Knowledge on soil-water-atmosphere system dynamics is required on modeling crop growth and yield for supporting decision systems. Among several options, the Decision Support System for Agrotecnology Transfer (DSSAT) seem to be the most suitable for practical application since it includes more than 18 different crops models tested worldwide. After model calibration against field data, it is possible to simulate realistic scenarios for decision-makers (farmers, managers, agricultural technicians and government), as well as to identify crop constraint for scientists defining research priorities. This study aimed to evaluate CROPGRO/DSSAT model performance to simulate soybean growth, development and crop yield under no-tillage and conventional tillage systems in subtropical climate conditions, in order to support decision making in soybean cropping of Brazil. MenosDuring crop cycle, growth and phenological development are influenced by different factors such as weather conditions, genetic potential, soil fertility, and system management. Management practices influences soil water retention properties and consequently crop growth an yield. In Brazil, a paradigm chance in soil management has lead conventional tillage system to give room to no-tillage cropping system, due to impacts such as erosin processes and soil organic carbon losses. No-tillage is considered a conservationist system because it includes crop rotation, mulching and only minimum soil mobilization on the seeding line. Those practices promote higher soil water storage, which are attributed o improvement of mesoporosity and non-saturated soil hydraulic conductivity. Knowledge on soil-water-atmosphere system dynamics is required on modeling crop growth and yield for supporting decision systems. Among several options, the Decision Support System for Agrotecnology Transfer (DSSAT) seem to be the most suitable for practical application since it includes more than 18 different crops models tested worldwide. After model calibration against field data, it is possible to simulate realistic scenarios for decision-makers (farmers, managers, agricultural technicians and government), as well as to identify crop constraint for scientists defining research priorities. This study aimed to evaluate CROPGRO/DSSAT model performance to simulate soybean growth, development and crop yield und... Mostrar Tudo |
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Palavras-Chave: |
CROPGRO; Modelagem; Modelo de desempenho; Simulador de crescimento. |
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Thesagro: |
Crescimento; Planta; Plantio Direto; Soja. |
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Categoria do assunto: |
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P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227218/1/Evaluation-of-the-CROPGRO-DSSAT-model-performance-2008.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/88650/1/2008-PC-martorano.pdf
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Marc: |
LEADER 02571nam a2200241 a 4500
001 1339720
005 2021-10-26
008 2008 bl uuuu u00u1 u #d
100 1 $aMARTORANO, L. G.
245 $aEvaluation of the CROPGRO/DSSAT model performance for simulating plant growth and grain yield of soybeans, subjected to no-tillage and conventional systems in the subtropical Southern Brazil.$h[electronic resource]
260 $aItalian Journal of Agronomy, v. 3, n. 3, p. 795-796, Jul./Sept. 2008. Suplemento. Trabalho apresentado no 10th Congress of the European Society for Agronomy, 2008, Bologna.$c2008
520 $aDuring crop cycle, growth and phenological development are influenced by different factors such as weather conditions, genetic potential, soil fertility, and system management. Management practices influences soil water retention properties and consequently crop growth an yield. In Brazil, a paradigm chance in soil management has lead conventional tillage system to give room to no-tillage cropping system, due to impacts such as erosin processes and soil organic carbon losses. No-tillage is considered a conservationist system because it includes crop rotation, mulching and only minimum soil mobilization on the seeding line. Those practices promote higher soil water storage, which are attributed o improvement of mesoporosity and non-saturated soil hydraulic conductivity. Knowledge on soil-water-atmosphere system dynamics is required on modeling crop growth and yield for supporting decision systems. Among several options, the Decision Support System for Agrotecnology Transfer (DSSAT) seem to be the most suitable for practical application since it includes more than 18 different crops models tested worldwide. After model calibration against field data, it is possible to simulate realistic scenarios for decision-makers (farmers, managers, agricultural technicians and government), as well as to identify crop constraint for scientists defining research priorities. This study aimed to evaluate CROPGRO/DSSAT model performance to simulate soybean growth, development and crop yield under no-tillage and conventional tillage systems in subtropical climate conditions, in order to support decision making in soybean cropping of Brazil.
650 $aCrescimento
650 $aPlanta
650 $aPlantio Direto
650 $aSoja
653 $aCROPGRO
653 $aModelagem
653 $aModelo de desempenho
653 $aSimulador de crescimento
700 1 $aFARIA, R. T. de
700 1 $aBERGAMASCHI, H.
700 1 $aDALMAGO, G. A.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 24 | |
| 21. |  | BASTOS, E. A.; FOLEGATTI, M. V.; FARIA, R. T. de; ANDRADE JÚNIOR, A. S. de; CARDOSO, M. J. Simulation of growth and development of irrigated cowpea in Piaui State by CROPGRO model. Pesquisa Agropecuária Brasileira, Brasília, v. 37, n. 10, p. 1381-1387, out. 2002.| Biblioteca(s): Embrapa Meio-Norte. |
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| 22. | | BASTOS, E. A.; FOLETATTI, M. V.; FARIA, R. T. de; ANDRADE JÚNIOR, A. S. de; CARDOSO, M. J. Simulation of growth and development of irrigated cowpea in Piauí State by CROPGRO model. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 37, n. 10, p. 1381-1387, out. 2002 Título em português: Simulação do crescimento e desenvolvimento do caupi irrigado no Estado do Piauí pelo modelo CROPGRO.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 24 | |
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