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| Registros recuperados : 29 | |
| 5. |  | BOOTE, K. J.; JONES, J. W.; HOOGENBOOM, G. Simulating growth and yield response of soybean to temperature and photoperiod. In: CONFERENCIA MUNDIAL DE INVESTIGACION EN SOJA, 4., 1989, Actas... Buenos Aires, A A soja, 1989, v. , p. 272-278, 1989.| Biblioteca(s): Embrapa Trigo. |
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| 7. | | SENTELHAS, P. C.; FARIA, R. T. de; CHAVES, M. O.; HOOGENBOOM, G. Avaliação dos geradores de dados meteorológicos WGEN e SIMMETEO, nas condições tropicais e subtropicais brasileiras, usando modelos de simulação de culturas. Revista Brasileira de Agrometeorologia, Santa Maria, v. 9, n. 2, p. 357-376, 2001.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | FERNANDES, J. M. C.; PAVAN, W.; PEQUENO, D.; WIEST, R.; HOLBIG, C. A.; OLIVEIRA, F.; HOOGENBOOM, G. Improving crop pest/disease modeling. In: BOOTE, K. (Ed.). Advances in crop modelling for a sustainable agriculture. Cambridge, UK: Burleigh Dodds Science Publishing, 2019.| Biblioteca(s): Embrapa Trigo. |
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| 11. | | RESENES, J. de A.; PAVAN, W.; HÖLBIG, C. A.; FERNANDES, J. M. C.; SHELIA, V.; PORTER, C.; HOOGENBOOM, G. jDSSAT: A JavaScript Module for DSSAT-CSM integration. SoftwareX, n. 10, (e-100271), 2019.| Biblioteca(s): Embrapa Trigo. |
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| 12. | | AMARAL, T. A.; ANDRADE, C. L. T.; HOOGENBOOM, G.; SILVA, D. F.; GARCIA Y GARCIA, A.; NOCE, M. A. Nitrogen management strategies for maize production systems: experimental data and crop modeling. International Journal of Plant Production, v. 9, n. 1, p. 51-74, 2015.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 15. | | HEINEMANN, A. B.; DOURADO NETO, D.; HOOGENBOOM, G.; MAIA, A. de H. N.; OHSE, S.; MANFRON, P. A. Resposta da soja (Glycine max) ao aumento da concentração de CO2 e temperatura. Insula, Florianópolis, n. 32, p.119-136 , 2003.| Biblioteca(s): Embrapa Florestas; Embrapa Meio Ambiente. |
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| 16. | | 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.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | 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.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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| 18. | | 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.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 19. | | AMARAL, T. A.; ANDRADE, C. L. T.; DUARTE, J. O.; GARCIA, J. C.; GARCIA Y GARCIA, A.; SILVA, D. F.; ALBERNAZ, W. M.; HOOGENBOOM, G. Nitrogen management strategies for smallholder maize production systems: yield and profitability variability. International Journal of Plant Production, v. 9, n. 1, p. 75-98, 2015.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 29 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
11/07/2022 |
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Data da última atualização: |
11/07/2022 |
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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: |
SILVA, E. H. F. M. da; HOOGENBOOM, G.; BOOTE, K. J.; GONÇALVES, A. O.; MARIN, F. R. |
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Afiliação: |
EVANDRO H. FIGUEIREDO MOURA DA SILVA, ESALQ/USP; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; ALEXANDRE ORTEGA GONCALVES, CNPS; FABIO RICARDO MARIN, ESALQ/USP. |
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Título: |
Predicting soybean evapotranspiration and crop water productivity for a tropical environment using the CSM-CROPGRO-Soybean model. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 323, 109075, Aug. 2022. |
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DOI: |
https://doi.org/10.1016/j.agrformet.2022.109075 |
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Idioma: |
Inglês |
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Conteúdo: |
Prediction of crop yield, evapotranspiration, and crop water productivity are essential aspects for water management and the sustainable intensification of agriculture. The goal of this study was to evaluate the Cropping System Model (CSM)-CROPGRO-Soybean model for simulating evapotranspiration and crop water productivity of soybean grown in a tropical environment. Energy balance evapotranspiration was measured daily using a Bowen Ratio Energy Balance (BREB) system for irrigated experiments that were conducted in Piracicaba, SP, Brazil, during the 2016-2017 and 2017-2018 growing seasons. Evapotranspiration was simulated with the CROPGRO-Soybean model using either the Priestley-Taylor or the FAO-56 Penman-Monteith method for potential ET combined with either the Ritchie-Two-Stage or the Suleiman-Ritchie soil water evaporation methods. The model provided good predictions of daily (D-statistic > 0.7) and cumulative evapotranspiration (RMSE ranged from 8 to 64 mm). FAO-56 Penman-Monteith with the Ritchie-Two-Stage method provided a better fit than the Priestley-Taylor with Suleiman-Ritchie when compared with measured data. Simulated crop water productivity agreed well with observed, but with a systematic underprediction (variation between simulated and measured ranged from -2.2 to -16.8 %). Simulation of long-term scenarios was conducted for different tropical environments, i.e., Piracicaba and Teresina, with soil tillage and water management practices. The results demonstrated that the implementation of no-tillage can increase 0.1 kg/m3 (11%) crop water productivity for grain. This study also showed that when irrigation was triggered at more than 60% of available soil water, irrigation did not result in an increase in yield despite an increase in water supply. MenosPrediction of crop yield, evapotranspiration, and crop water productivity are essential aspects for water management and the sustainable intensification of agriculture. The goal of this study was to evaluate the Cropping System Model (CSM)-CROPGRO-Soybean model for simulating evapotranspiration and crop water productivity of soybean grown in a tropical environment. Energy balance evapotranspiration was measured daily using a Bowen Ratio Energy Balance (BREB) system for irrigated experiments that were conducted in Piracicaba, SP, Brazil, during the 2016-2017 and 2017-2018 growing seasons. Evapotranspiration was simulated with the CROPGRO-Soybean model using either the Priestley-Taylor or the FAO-56 Penman-Monteith method for potential ET combined with either the Ritchie-Two-Stage or the Suleiman-Ritchie soil water evaporation methods. The model provided good predictions of daily (D-statistic > 0.7) and cumulative evapotranspiration (RMSE ranged from 8 to 64 mm). FAO-56 Penman-Monteith with the Ritchie-Two-Stage method provided a better fit than the Priestley-Taylor with Suleiman-Ritchie when compared with measured data. Simulated crop water productivity agreed well with observed, but with a systematic underprediction (variation between simulated and measured ranged from -2.2 to -16.8 %). Simulation of long-term scenarios was conducted for different tropical environments, i.e., Piracicaba and Teresina, with soil tillage and water management practices. The results demonstrated ... Mostrar Tudo |
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Palavras-Chave: |
Bowen Ratio-Energy Balance; FAO-56 Penman-Monteith; Priestley-Taylor; Ritchie-Two-Stage; Suleiman-Ritchie; Water use. |
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Thesagro: |
Evapotranspiração. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02672naa a2200265 a 4500
001 2144575
005 2022-07-11
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agrformet.2022.109075$2DOI
100 1 $aSILVA, E. H. F. M. da
245 $aPredicting soybean evapotranspiration and crop water productivity for a tropical environment using the CSM-CROPGRO-Soybean model.$h[electronic resource]
260 $c2022
520 $aPrediction of crop yield, evapotranspiration, and crop water productivity are essential aspects for water management and the sustainable intensification of agriculture. The goal of this study was to evaluate the Cropping System Model (CSM)-CROPGRO-Soybean model for simulating evapotranspiration and crop water productivity of soybean grown in a tropical environment. Energy balance evapotranspiration was measured daily using a Bowen Ratio Energy Balance (BREB) system for irrigated experiments that were conducted in Piracicaba, SP, Brazil, during the 2016-2017 and 2017-2018 growing seasons. Evapotranspiration was simulated with the CROPGRO-Soybean model using either the Priestley-Taylor or the FAO-56 Penman-Monteith method for potential ET combined with either the Ritchie-Two-Stage or the Suleiman-Ritchie soil water evaporation methods. The model provided good predictions of daily (D-statistic > 0.7) and cumulative evapotranspiration (RMSE ranged from 8 to 64 mm). FAO-56 Penman-Monteith with the Ritchie-Two-Stage method provided a better fit than the Priestley-Taylor with Suleiman-Ritchie when compared with measured data. Simulated crop water productivity agreed well with observed, but with a systematic underprediction (variation between simulated and measured ranged from -2.2 to -16.8 %). Simulation of long-term scenarios was conducted for different tropical environments, i.e., Piracicaba and Teresina, with soil tillage and water management practices. The results demonstrated that the implementation of no-tillage can increase 0.1 kg/m3 (11%) crop water productivity for grain. This study also showed that when irrigation was triggered at more than 60% of available soil water, irrigation did not result in an increase in yield despite an increase in water supply.
650 $aEvapotranspiração
653 $aBowen Ratio-Energy Balance
653 $aFAO-56 Penman-Monteith
653 $aPriestley-Taylor
653 $aRitchie-Two-Stage
653 $aSuleiman-Ritchie
653 $aWater use
700 1 $aHOOGENBOOM, G.
700 1 $aBOOTE, K. J.
700 1 $aGONÇALVES, A. O.
700 1 $aMARIN, F. R.
773 $tAgricultural and Forest Meteorology$gv. 323, 109075, Aug. 2022.
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