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| Registros recuperados : 393 | |
| Registros recuperados : 393 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
13/05/2013 |
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Data da última atualização: |
12/06/2017 |
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Autoria: |
BERGAMASCHI, H.; COSTA, S. M. S. da; WHEELER, T. R.; CHALLINOR, A. J. |
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Afiliação: |
Homero Bergamaschi, UFRGS; Simone Marilene Sievert da Costa, INPE; Timothy Robert Wheeler, University of Reading; Andrew Juan Challinor, University of Leeds. |
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Título: |
Simulating maize yield in sub-tropical conditions of southern Brazil using Glam model. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 2, p. 132-140, fev. 2013. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Simulação do rendimento de milho em condições subtropicais do Sul do Brasil por meio do modelo Glam. |
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Conteúdo: |
The objective of this work was to evaluate the feasibility of simulating maize yield in a sub‑tropical region of southern Brazil using the general large area model (Glam). A 16‑year time series of daily weather data were used. The model was adjusted and tested as an alternative for simulating maize yield at small and large spatial scales. Simulated and observed grain yields were highly correlated (r above 0.8; p<0.01) at large scales (greater than 100,000 km2), with variable and mostly lower correlations (r from 0.65 to 0.87; p<0.1) at small spatial scales (lower than 10,000 km2). Large area models can contribute to monitoring or forecasting regional patterns of variability in maize production in the region, providing a basis for agricultural decision making, and Glam‑Maize is one of the alternatives. |
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Palavras-Chave: |
Crop modeling; Crop parameters; Parâmetros de cultivo; Relação clima?cultivo. |
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Thesagro: |
Zea Mays. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/82714/1/Simulating-maize.pdf
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Marc: |
LEADER 01640naa a2200229 a 4500
001 1957750
005 2017-06-12
008 2013 bl uuuu u00u1 u #d
100 1 $aBERGAMASCHI, H.
245 $aSimulating maize yield in sub-tropical conditions of southern Brazil using Glam model.
260 $c2013
500 $aTítulo em português: Simulação do rendimento de milho em condições subtropicais do Sul do Brasil por meio do modelo Glam.
520 $aThe objective of this work was to evaluate the feasibility of simulating maize yield in a sub‑tropical region of southern Brazil using the general large area model (Glam). A 16‑year time series of daily weather data were used. The model was adjusted and tested as an alternative for simulating maize yield at small and large spatial scales. Simulated and observed grain yields were highly correlated (r above 0.8; p<0.01) at large scales (greater than 100,000 km2), with variable and mostly lower correlations (r from 0.65 to 0.87; p<0.1) at small spatial scales (lower than 10,000 km2). Large area models can contribute to monitoring or forecasting regional patterns of variability in maize production in the region, providing a basis for agricultural decision making, and Glam‑Maize is one of the alternatives.
650 $aZea Mays
653 $aCrop modeling
653 $aCrop parameters
653 $aParâmetros de cultivo
653 $aRelação clima?cultivo
700 1 $aCOSTA, S. M. S. da
700 1 $aWHEELER, T. R.
700 1 $aCHALLINOR, A. J.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 48, n. 2, p. 132-140, fev. 2013.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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