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| 1. |  | ROSAS, M. R.; OLIVEIRA, M. do S. P. de; SANCHES, E. de N. M.; OLIVEIRA, N. P. de. Repetibilidade de marcadores RAPD em germoplasma de tucumã-do-pará. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 2. | | ROSAS, M. R.; OLIVEIRA, M. do S. P. de; SANCHES, E. de N. M.; OLIVEIRA, N. P. de. Reprodutibilidade de marcadores RAPD em germoplasma de tucumã-do-pará. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 2 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
12/11/2020 |
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Data da última atualização: |
10/02/2021 |
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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: |
CUADRA, S. V.; KIMBALL, B. A.; BOOTE, K. J.; SUYKER, A. E.; PICKERING, N. |
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Afiliação: |
SANTIAGO VIANNA CUADRA, CNPTIA; BRUCE A. KIMBALL, USDA; KENNETH J. BOOTE, University of Florida; ANDREW E. SUYKER, University of Nebraska-Lincoln; NIGEL PICKERING, Washington State University. |
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Título: |
Energy balance in the DSSAT-CSM-CROPGRO model. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 297, p. 1-17, Feb. 2021. |
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DOI: |
https://doi.org/10.1016/j.agrformet.2020.108241 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. One potential way to improve crop growth models is for the models to predict energy balance and evapotranspiration (ET) from first principles, thus serving as a check on "engineered" ET methodology. In this paper, we present new implementations and the results of an energy balance model (EBL) developed by Jagtap and Jones (1989) and then implemented in DSSAT's CROPGRO (CG-EBL) model by Pickering et al. (1995) as a linked energy balance-photosynthesis model that has not been field-tested until now. The energy balance code computes evapotranspiration and other energy balance components, as well as a canopy air temperature, based on three sources (sunlit leaves, shaded leaves, soil surface). Model performance was evaluated with measured biomass and energy fluxes from two sites in Nebraska, namely, the US-Ne2 irrigated maize-soybean rotation field and the US-Ne3 rainfed maize-soybean rotation field, which are part of the Ameriflux eddy covariance network (https://ameriflux.lbl.gov/sites). After implementing new aerodynamic resistances and the stomatal conductance model of the Ball-Berry-Leuning, crop growth, evapotranspiration and soil temperature were simulated well by the EBL model. The EBL improved ET predictions slightly over the often-used FAO56 method [Penman-Monteith (Allen et al., 1998)] for 4 of the 5 years evaluated for both irrigated and rainfed conditions. Further, a significant improvement was achieved using EBL for the simulation of soil temperature at the various depths compared to STEMP, the original subroutine in DSSAT for simulating soil temperature. Compared to the other available DSSAT methods, the EBL explicitly simulates the impacts of crop morphology, physiology and management on the crop's environment and energy and mass exchange, which in turn directly affect the water use and irrigation requirements, phenology, photosynthesis, growth, sterility, and yield of the crop. MenosAbstract. One potential way to improve crop growth models is for the models to predict energy balance and evapotranspiration (ET) from first principles, thus serving as a check on "engineered" ET methodology. In this paper, we present new implementations and the results of an energy balance model (EBL) developed by Jagtap and Jones (1989) and then implemented in DSSAT's CROPGRO (CG-EBL) model by Pickering et al. (1995) as a linked energy balance-photosynthesis model that has not been field-tested until now. The energy balance code computes evapotranspiration and other energy balance components, as well as a canopy air temperature, based on three sources (sunlit leaves, shaded leaves, soil surface). Model performance was evaluated with measured biomass and energy fluxes from two sites in Nebraska, namely, the US-Ne2 irrigated maize-soybean rotation field and the US-Ne3 rainfed maize-soybean rotation field, which are part of the Ameriflux eddy covariance network (https://ameriflux.lbl.gov/sites). After implementing new aerodynamic resistances and the stomatal conductance model of the Ball-Berry-Leuning, crop growth, evapotranspiration and soil temperature were simulated well by the EBL model. The EBL improved ET predictions slightly over the often-used FAO56 method [Penman-Monteith (Allen et al., 1998)] for 4 of the 5 years evaluated for both irrigated and rainfed conditions. Further, a significant improvement was achieved using EBL for the simulation of soil temperature at th... Mostrar Tudo |
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Palavras-Chave: |
Biomassa de soja; Canopy temperature; CROPGRO; DSSAT; Leaf temperature; Modelo de balanço de energia; Temperatura da folha; Temperatura do dossel. |
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Thesagro: |
Balanço de Energia; Evapotranspiração; Temperatura do Solo. |
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Thesaurus NAL: |
Biomass; Evapotranspiration; Soil temperature; Soybeans. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02971naa a2200361 a 4500
001 2126536
005 2021-02-10
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agrformet.2020.108241$2DOI
100 1 $aCUADRA, S. V.
245 $aEnergy balance in the DSSAT-CSM-CROPGRO model.$h[electronic resource]
260 $c2021
520 $aAbstract. One potential way to improve crop growth models is for the models to predict energy balance and evapotranspiration (ET) from first principles, thus serving as a check on "engineered" ET methodology. In this paper, we present new implementations and the results of an energy balance model (EBL) developed by Jagtap and Jones (1989) and then implemented in DSSAT's CROPGRO (CG-EBL) model by Pickering et al. (1995) as a linked energy balance-photosynthesis model that has not been field-tested until now. The energy balance code computes evapotranspiration and other energy balance components, as well as a canopy air temperature, based on three sources (sunlit leaves, shaded leaves, soil surface). Model performance was evaluated with measured biomass and energy fluxes from two sites in Nebraska, namely, the US-Ne2 irrigated maize-soybean rotation field and the US-Ne3 rainfed maize-soybean rotation field, which are part of the Ameriflux eddy covariance network (https://ameriflux.lbl.gov/sites). After implementing new aerodynamic resistances and the stomatal conductance model of the Ball-Berry-Leuning, crop growth, evapotranspiration and soil temperature were simulated well by the EBL model. The EBL improved ET predictions slightly over the often-used FAO56 method [Penman-Monteith (Allen et al., 1998)] for 4 of the 5 years evaluated for both irrigated and rainfed conditions. Further, a significant improvement was achieved using EBL for the simulation of soil temperature at the various depths compared to STEMP, the original subroutine in DSSAT for simulating soil temperature. Compared to the other available DSSAT methods, the EBL explicitly simulates the impacts of crop morphology, physiology and management on the crop's environment and energy and mass exchange, which in turn directly affect the water use and irrigation requirements, phenology, photosynthesis, growth, sterility, and yield of the crop.
650 $aBiomass
650 $aEvapotranspiration
650 $aSoil temperature
650 $aSoybeans
650 $aBalanço de Energia
650 $aEvapotranspiração
650 $aTemperatura do Solo
653 $aBiomassa de soja
653 $aCanopy temperature
653 $aCROPGRO
653 $aDSSAT
653 $aLeaf temperature
653 $aModelo de balanço de energia
653 $aTemperatura da folha
653 $aTemperatura do dossel
700 1 $aKIMBALL, B. A.
700 1 $aBOOTE, K. J.
700 1 $aSUYKER, A. E.
700 1 $aPICKERING, N.
773 $tAgricultural and Forest Meteorology$gv. 297, p. 1-17, Feb. 2021.
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