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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
14/01/2002 |
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Data da última atualização: |
16/03/2023 |
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Autoria: |
SADLER, E. J.; BAUER, P. J.; BUSSCHER, W. J. |
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Título: |
Site-specific analysis of a droughted corn crop: I growth and grain yield |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Agronomy Journal v.92, n.3, p.395-402, 2000 |
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Idioma: |
Inglês |
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Conteúdo: |
Soil in the southeastern USA Coastal Plain exhibits marked variation, especially near shallow depressions called Carolina Bays. This variation causes correspondingly severe variation in yield, particularly for corn (Zea mays L.) during drought. Though important to precision farming, these features often are overlooked in 1:20000 scale county soil surveys. They are visible in 1:1200 scale soil surveys, but the ability to explain yield variation using soil map units at this scale must be unequivocally demonstrated before committing resources to such a detailed survey. Our objectives were (i) to compare paired samples of four soil map units to determine if grain yield variation were sufficiently explained to be of practical value, and (ii) to extend this evaluation to include data with greater spatial coverage. Corn grain yields were measured at 209 sites in an 8-ha field, including two Carolina Bays near Florence, SC. Site-specific effects of soil variation on crop phenology, biomass, and yield components were measured at 11 sites during a drought. Variations in yield components were large and sometimes compensatory (e.g., kernel number and mass), with distinctly different routes to sometimes similar final grain yields. Multiple sites within map units were frequently different at ? = 0.05. Analysis of variance for grain yield on soil map unit was statistically significant (P < 0.001) but of limited explanatory value (r2 = 0.16). We conclude that to create soil management zones for precision farming, one must augment even detailed soil map units with additional spatial data, such as yield maps. MenosSoil in the southeastern USA Coastal Plain exhibits marked variation, especially near shallow depressions called Carolina Bays. This variation causes correspondingly severe variation in yield, particularly for corn (Zea mays L.) during drought. Though important to precision farming, these features often are overlooked in 1:20000 scale county soil surveys. They are visible in 1:1200 scale soil surveys, but the ability to explain yield variation using soil map units at this scale must be unequivocally demonstrated before committing resources to such a detailed survey. Our objectives were (i) to compare paired samples of four soil map units to determine if grain yield variation were sufficiently explained to be of practical value, and (ii) to extend this evaluation to include data with greater spatial coverage. Corn grain yields were measured at 209 sites in an 8-ha field, including two Carolina Bays near Florence, SC. Site-specific effects of soil variation on crop phenology, biomass, and yield components were measured at 11 sites during a drought. Variations in yield components were large and sometimes compensatory (e.g., kernel number and mass), with distinctly different routes to sometimes similar final grain yields. Multiple sites within map units were frequently different at ? = 0.05. Analysis of variance for grain yield on soil map unit was statistically significant (P < 0.001) but of limited explanatory value (r2 = 0.16). We conclude that to create soil management zones... Mostrar Tudo |
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Thesagro: |
Solo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02066naa a2200157 a 4500
001 1650341
005 2023-03-16
008 2000 bl uuuu u00u1 u #d
100 1 $aSADLER, E. J.
245 $aSite-specific analysis of a droughted corn crop$bI growth and grain yield$h[electronic resource]
260 $c2000
520 $aSoil in the southeastern USA Coastal Plain exhibits marked variation, especially near shallow depressions called Carolina Bays. This variation causes correspondingly severe variation in yield, particularly for corn (Zea mays L.) during drought. Though important to precision farming, these features often are overlooked in 1:20000 scale county soil surveys. They are visible in 1:1200 scale soil surveys, but the ability to explain yield variation using soil map units at this scale must be unequivocally demonstrated before committing resources to such a detailed survey. Our objectives were (i) to compare paired samples of four soil map units to determine if grain yield variation were sufficiently explained to be of practical value, and (ii) to extend this evaluation to include data with greater spatial coverage. Corn grain yields were measured at 209 sites in an 8-ha field, including two Carolina Bays near Florence, SC. Site-specific effects of soil variation on crop phenology, biomass, and yield components were measured at 11 sites during a drought. Variations in yield components were large and sometimes compensatory (e.g., kernel number and mass), with distinctly different routes to sometimes similar final grain yields. Multiple sites within map units were frequently different at ? = 0.05. Analysis of variance for grain yield on soil map unit was statistically significant (P < 0.001) but of limited explanatory value (r2 = 0.16). We conclude that to create soil management zones for precision farming, one must augment even detailed soil map units with additional spatial data, such as yield maps.
650 $aSolo
700 1 $aBAUER, P. J.
700 1 $aBUSSCHER, W. J.
773 $tAgronomy Journal$gv.92, n.3, p.395-402, 2000
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
17/12/2007 |
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Data da última atualização: |
11/10/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
FARIAS, M. A. A. de; DINIZ, M. de S.; CALDAS, R. C.; GOMES, H. de S. |
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Afiliação: |
Marcos Antônio Alves de Farias, CNPMF; Mauto de Souza Diniz, CNPMF; Ranulfo Corrêa Caldas, CNPMF; Hilton de Souza Gomes, CNPMF. |
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Título: |
Produtividade de variedades de mandioca em Brotas de Macaúbas, domínio ecológico semi-árido baiano. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DA MANDIOCA, 12., 2007, Paranavaí. Mandioca: bioenergia, alimento e renda. Botucatu: CERAT- UNESP, [2007]. |
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Idioma: |
Português |
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Conteúdo: |
Apesar de notórias restrições edafo-climáticas, o Nordeste brasileiro obteve, entre 2000 a 2005, uma produção média de 8,4 milhões de toneladas de raízes de mandioca, contribuindo com 35,8% da produção nacional. Nesse contexto, o Estado da Bahia aparece como principal pólo produtor, com produção de 4.078.477t raízes, ocupando 325.529ha, e com produtividade média de 12,53t ha-1 (IBGE, 2005). Embora EMBRAPA/SUDENE (1979) tenha relatado produtividade de mandioca em torno de 12t ha-1, anos chuvosos no município de Macaúbas, Diniz et al. (1990) verificam, no mesmo geo-ambiente, produtividade média de 8 t ha-1, devido a condições de precipitação insuficiente e errática. |
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Palavras-Chave: |
Estande; Rendimento de raízes. |
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Thesagro: |
Amido; Manihot Esculenta. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01381nam a2200193 a 4500
001 1654216
005 2023-10-11
008 2007 bl uuuu u00u1 u #d
100 1 $aFARIAS, M. A. A. de
245 $aProdutividade de variedades de mandioca em Brotas de Macaúbas, domínio ecológico semi-árido baiano.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DA MANDIOCA, 12., 2007, Paranavaí. Mandioca: bioenergia, alimento e renda. Botucatu: CERAT- UNESP, [2007].$c2007
520 $aApesar de notórias restrições edafo-climáticas, o Nordeste brasileiro obteve, entre 2000 a 2005, uma produção média de 8,4 milhões de toneladas de raízes de mandioca, contribuindo com 35,8% da produção nacional. Nesse contexto, o Estado da Bahia aparece como principal pólo produtor, com produção de 4.078.477t raízes, ocupando 325.529ha, e com produtividade média de 12,53t ha-1 (IBGE, 2005). Embora EMBRAPA/SUDENE (1979) tenha relatado produtividade de mandioca em torno de 12t ha-1, anos chuvosos no município de Macaúbas, Diniz et al. (1990) verificam, no mesmo geo-ambiente, produtividade média de 8 t ha-1, devido a condições de precipitação insuficiente e errática.
650 $aAmido
650 $aManihot Esculenta
653 $aEstande
653 $aRendimento de raízes
700 1 $aDINIZ, M. de S.
700 1 $aCALDAS, R. C.
700 1 $aGOMES, H. de S.
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