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Registros recuperados : 105 | |
Registros recuperados : 105 | |
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Registro Completo
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
28/06/2013 |
Data da última atualização: |
21/08/2017 |
Autoria: |
STRECK, N. A.; ROSA, H. T.; WALTER, L. C.; SILVA, M. R. da; UHLMANN, L. O. |
Afiliação: |
Nereu Augusto Streck, Universidade Federal de Santa Maria/Departamento de Fitotecnia; Hamilton Telles Rosa, Universidade Federal de Santa Maria/Departamento de Fitotecnia; Lidiane Cristine Walter, Universidade Federal de Santa Maria/Departamento de Fitotecnia; Michel Rocha da Silva, Universidade Federal de Santa Maria/Departamento de Fitotecnia; Lilian Osmari Uhlmann, Universidade Federal de Santa Maria/Departamento de Fitotecnia. |
Título: |
CO2-response function of radiation use efficiency in rice for climate change scenarios. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 7, p. 879-885, jul, 2012 |
Idioma: |
Inglês |
Notas: |
Título em português: Função de resposta a CO2 na eficiência de uso da radiação em arroz para cenários de mudanças climáticas. |
Conteúdo: |
The objective of this work was to evaluate a generalized response function to the atmospheric CO2 concentration [f(CO2)] by the radiation use efficiency (RUE) in rice. Experimental data on RUE at different CO2 concentrations were collected from rice trials performed in several locations around the world. RUE data were then normalized, so that all RUE at current CO2 concentration were equal to 1. The response function was obtained by fitting normalized RUE versus CO2 concentration to a Morgan?Mercer?Flodin (MMF) function, and by using Marquardt's method to estimate the model coefficients. Goodness of fit was measured by the standard deviation of the estimated coefficients, the coefficient of determination (R2), and the root mean square error (RMSE). The f(CO2) describes a nonlinear sigmoidal response of RUE in rice, in function of the atmospheric CO2 concentration, which has an ecophysiological background, and, therefore, renders a robust function that can be easily coupled to rice simulation models, besides covering the range of CO2 emissions for the next generation of climate scenarios for the 21st century. |
Thesagro: |
Oryza Sativa. |
Thesaurus NAL: |
Global warming; Models; Photosynthesis. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/85006/1/CO28209response-function-of-radiation.pdf
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Marc: |
LEADER 01907naa a2200229 a 4500 001 1960885 005 2017-08-21 008 2012 bl uuuu u00u1 u #d 100 1 $aSTRECK, N. A. 245 $aCO2-response function of radiation use efficiency in rice for climate change scenarios. 260 $c2012 500 $aTítulo em português: Função de resposta a CO2 na eficiência de uso da radiação em arroz para cenários de mudanças climáticas. 520 $aThe objective of this work was to evaluate a generalized response function to the atmospheric CO2 concentration [f(CO2)] by the radiation use efficiency (RUE) in rice. Experimental data on RUE at different CO2 concentrations were collected from rice trials performed in several locations around the world. RUE data were then normalized, so that all RUE at current CO2 concentration were equal to 1. The response function was obtained by fitting normalized RUE versus CO2 concentration to a Morgan?Mercer?Flodin (MMF) function, and by using Marquardt's method to estimate the model coefficients. Goodness of fit was measured by the standard deviation of the estimated coefficients, the coefficient of determination (R2), and the root mean square error (RMSE). The f(CO2) describes a nonlinear sigmoidal response of RUE in rice, in function of the atmospheric CO2 concentration, which has an ecophysiological background, and, therefore, renders a robust function that can be easily coupled to rice simulation models, besides covering the range of CO2 emissions for the next generation of climate scenarios for the 21st century. 650 $aGlobal warming 650 $aModels 650 $aPhotosynthesis 650 $aOryza Sativa 700 1 $aROSA, H. T. 700 1 $aWALTER, L. C. 700 1 $aSILVA, M. R. da 700 1 $aUHLMANN, L. O. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 47, n. 7, p. 879-885, jul, 2012
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