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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Unidades Centrais; Embrapa Uva e Vinho. |
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Data corrente: |
13/05/2013 |
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Data da última atualização: |
12/04/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MONTEIRO, J. E. B. de A.; AZEVEDO, L. da C.; ASSAD, E. D.; SENTELHAS, P. C. |
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Afiliação: |
JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPUV; Letícia da Costa Azevedo, CNPTIA; EDUARDO DELGADO ASSAD, CNPTIA; Paulo Cesar Sentelhas, ESALQ/USP. |
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Título: |
Rice yield estimation based on weather conditions and on technological level of production systems in Brazil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, v. 48, n. 2, p. 123-131, fev. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract - The objective of this work was to evaluate an estimation system for rice yield in Brazil, based on simple agrometeorological models and on the technological level of production systems. This estimation system incorporates the conceptual basis proposed by Doorenbos & Kassam for potential and attainable yields with empirical adjusts for maximum yield and crop sensitivity to water deficit, considering five categories of rice yield. Rice yield was estimated from 2000/2001 to 2007/2008, and compared to IBGE yield data. Regression analyses between model estimates and data from IBGE surveys resulted in significant coefficients of determination, with less dispersion in the South than in the North and Northeast regions of the country. Index of model efficiency (E1') ranged from 0.01 in the lower yield classes to 0.45 in higher ones, and mean absolute error ranged from 58 to 250 kg ha-1, respectively. |
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Palavras-Chave: |
Crop simulaton model; Crop yield forecast; Eficiência do modelo; Eficiência do moldelo; Model efficiency; Modelo agroecológico; Modelo de simulação de cultura; Water deficit. |
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Thesagro: |
Arroz; Clima; Deficiência hídrica; Meteorologia; Modelo de simulação; Previsão de safra. |
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Thesaurus Nal: |
Crop yield; Plant-water relations; Simulation models. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://www.scielo.br/pdf/pab/v48n2/48n02a01.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/83303/1/48n02a01.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/82713/1/Rice-yield-estimation.pdf
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Marc: |
LEADER 02019naa a2200361 a 4500
001 1958696
005 2019-04-12
008 2013 bl uuuu u00u1 u #d
100 1 $aMONTEIRO, J. E. B. de A.
245 $aRice yield estimation based on weather conditions and on technological level of production systems in Brazil.
260 $c2013
520 $aAbstract - The objective of this work was to evaluate an estimation system for rice yield in Brazil, based on simple agrometeorological models and on the technological level of production systems. This estimation system incorporates the conceptual basis proposed by Doorenbos & Kassam for potential and attainable yields with empirical adjusts for maximum yield and crop sensitivity to water deficit, considering five categories of rice yield. Rice yield was estimated from 2000/2001 to 2007/2008, and compared to IBGE yield data. Regression analyses between model estimates and data from IBGE surveys resulted in significant coefficients of determination, with less dispersion in the South than in the North and Northeast regions of the country. Index of model efficiency (E1') ranged from 0.01 in the lower yield classes to 0.45 in higher ones, and mean absolute error ranged from 58 to 250 kg ha-1, respectively.
650 $aCrop yield
650 $aPlant-water relations
650 $aSimulation models
650 $aArroz
650 $aClima
650 $aDeficiência hídrica
650 $aMeteorologia
650 $aModelo de simulação
650 $aPrevisão de safra
653 $aCrop simulaton model
653 $aCrop yield forecast
653 $aEficiência do modelo
653 $aEficiência do moldelo
653 $aModel efficiency
653 $aModelo agroecológico
653 $aModelo de simulação de cultura
653 $aWater deficit
700 1 $aAZEVEDO, L. da C.
700 1 $aASSAD, E. D.
700 1 $aSENTELHAS, P. C.
773 $tPesquisa Agropecuária Brasileira, Brasília$gv. 48, n. 2, p. 123-131, fev. 2013.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
