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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
10/09/2008 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
HEINEMANN, A. B.; STONE, L. F. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; LUIS FERNANDO STONE, CNPAF. |
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Título: |
Determining optimum sowing date for early upland rice cultivar using modelling approach. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING; BRAZILIAN CONGRESS OF AGRICULTURAL ENGINEERING, 37.; INTERNATIONAL LIVESTOCK ENVIRONMENT SYMPOSIUM - ILES, 8., 2008, Foz do Iguaçu. Technology for all: sharing the knowledge for development: proceedings... Foz do Iguaçu: SBEA, 2008. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to determine the optimum sowing date for early upland rice cultivar at Santo Antonio de Goiás, GO, Brazil. To optimize solar radiation and precipitation during the upland rice sowing period (from November to December) it was used the crop model RICE06 from Ecotrop plataform. To mimic the conditions of region, two scenarios were created: a) no restriction to root development (0.8 m effective root depth) and b) restrictions to root development (Al toxic in the subsoil ? 0.4 m effective root depth). The crop model was run based on the climate historical date (22 years of daily data for precipitation, solar radiation, maximum and minimum temperature, maximum and minimum relative humidity, and wind speed) collected at Embrapa Rice & Beans weather station. Five different sowing dates (01/11, 15/11, 1/12, 15/12, and 31/12) were taken into account. The decision criterions used to determine the optimum sowing date were the variability, comparison of exceedance probability and mean variation for yield and the averaged index stress factor. The results obtained showed that the optimum sowing date for both scenarios was 15-Nov. |
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Palavras-Chave: |
Crop model; Root depth. |
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Thesagro: |
Arroz; Modelo de Simulação; Oryza Sativa. |
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Thesaurus Nal: |
rice. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/217363/1/cbea-2008.pdf
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Marc: |
LEADER 01966nam a2200193 a 4500
001 1217363
005 2024-02-05
008 2008 bl uuuu u00u1 u #d
100 1 $aHEINEMANN, A. B.
245 $aDetermining optimum sowing date for early upland rice cultivar using modelling approach.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING; BRAZILIAN CONGRESS OF AGRICULTURAL ENGINEERING, 37.; INTERNATIONAL LIVESTOCK ENVIRONMENT SYMPOSIUM - ILES, 8., 2008, Foz do Iguaçu. Technology for all: sharing the knowledge for development: proceedings... Foz do Iguaçu: SBEA$c2008
520 $aThe objective of this study was to determine the optimum sowing date for early upland rice cultivar at Santo Antonio de Goiás, GO, Brazil. To optimize solar radiation and precipitation during the upland rice sowing period (from November to December) it was used the crop model RICE06 from Ecotrop plataform. To mimic the conditions of region, two scenarios were created: a) no restriction to root development (0.8 m effective root depth) and b) restrictions to root development (Al toxic in the subsoil ? 0.4 m effective root depth). The crop model was run based on the climate historical date (22 years of daily data for precipitation, solar radiation, maximum and minimum temperature, maximum and minimum relative humidity, and wind speed) collected at Embrapa Rice & Beans weather station. Five different sowing dates (01/11, 15/11, 1/12, 15/12, and 31/12) were taken into account. The decision criterions used to determine the optimum sowing date were the variability, comparison of exceedance probability and mean variation for yield and the averaged index stress factor. The results obtained showed that the optimum sowing date for both scenarios was 15-Nov.
650 $arice
650 $aArroz
650 $aModelo de Simulação
650 $aOryza Sativa
653 $aCrop model
653 $aRoot depth
700 1 $aSTONE, L. F.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 319 | |
| 35. |  | HEINEMANN, A. B.; STONE, L. F.; SILVA, S. C. da. Arroz. In: MONTEIRO, J. E. B. A. (Org.). Agrometeorologia dos cultivos: o fator meteorológico na produção agrícola. Brasília, DF: Instituto Nacional de Meteorologia, 2009. p. 63-79.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 319 | |
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