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| 1. |  | SCHEPERS A. R.; SHANAHAN, J. F.; LIEBIG, M. A.; SCHEPERS, J. S.; JOHNSON, S. H.; LUCHIARI JUNIOR, A. Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal, Madison, v. 96, n.1, p. 195-203, 2004.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 2. | | LUCHIARI JÚNIOR, A.; SHANAHAN, J.; SCHEPERS, J.; FRANCIS, D.; SCHLEMMER, M.; SCHEPERS, A.; INAMASO, R.; FRANCA, G.; MANTOVANI, E.; GOMIDE, R. Crop and soil based approaches for site specific nutrient management. In: CONGRESSO NACIONAL DE MILHO E SORGO, 24., 2002, Florianópolis, SC. Meio ambiente e a nova agenda para o agronegócio de milho e sorgo: [palestras]. Sete Lagoas: ABMS: Embrapa Milho e Sorgo; Florianópolis: Epagri, 2002.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 2 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
25/06/2007 |
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Data da última atualização: |
14/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
SCHEPERS A. R.; SHANAHAN, J. F.; LIEBIG, M. A.; SCHEPERS, J. S.; JOHNSON, S. H.; LUCHIARI JUNIOR, A. |
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Afiliação: |
AARON R. SCHEPERS, USDA/ARS; JOHN F. SHANAHAN, USDA/ARS; MARK A. LIEBIG, USDA/ARS; JAMES S. SCHEPERS, USDA/ARS; SVEN H. JOHNSON, USDA/ARS; ARIOVALDO LUCHIARI JUNIOR, CNPTIA. |
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Título: |
Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Agronomy Journal, Madison, v. 96, n.1, p. 195-203, 2004. |
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Idioma: |
Inglês |
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Conteúdo: |
Recent precision-agriculture research has focused on use of management zones (MZ) as a method for variable application of inputs like N. The objectives of this study were to determine (i) if landscape attributes could be aggregated into MZ that characterize spatial variation in soil chemical properties and corn yields and (ii) if temporal variability affects expression of yield spatial variability. This work was conducted on an irrigated cornfield near Gibbon, NE. Five landscape attributes, including a soil brightness image (red, green, and blue bands), elevation, and apparent electrical conductivity, were acquired for the field. A georeferenced soil-sampling scheme was used to determine soil chemical properties (soil pH, electrical conductivity, P, and organic matter). Georeferenced yield monitor data were collected for five (1997-2001) seasons. The five landscape attributes were aggregated into four MZ using principal-component analysis of landscape attributes and unsupervised classification of principal-component scores. All of the soil chemical properties differed among the four MZ. While yields were observed to differ by up to 25% between the highest- and lowest-yielding MZ in three of five seasons, receiving average precipitation, less-pronounced (5%) differences were noted among the same MZ in the driest and wettest seasons. This illustrates the significant role temporal variability plays in altering yield spatial variability, even under irrigation. Use of MZ for variable application of inputs like N would only have been appropriate for this field in three out of the five seasons, seriously restricting the use of this approach under variable environmental conditions. MenosRecent precision-agriculture research has focused on use of management zones (MZ) as a method for variable application of inputs like N. The objectives of this study were to determine (i) if landscape attributes could be aggregated into MZ that characterize spatial variation in soil chemical properties and corn yields and (ii) if temporal variability affects expression of yield spatial variability. This work was conducted on an irrigated cornfield near Gibbon, NE. Five landscape attributes, including a soil brightness image (red, green, and blue bands), elevation, and apparent electrical conductivity, were acquired for the field. A georeferenced soil-sampling scheme was used to determine soil chemical properties (soil pH, electrical conductivity, P, and organic matter). Georeferenced yield monitor data were collected for five (1997-2001) seasons. The five landscape attributes were aggregated into four MZ using principal-component analysis of landscape attributes and unsupervised classification of principal-component scores. All of the soil chemical properties differed among the four MZ. While yields were observed to differ by up to 25% between the highest- and lowest-yielding MZ in three of five seasons, receiving average precipitation, less-pronounced (5%) differences were noted among the same MZ in the driest and wettest seasons. This illustrates the significant role temporal variability plays in altering yield spatial variability, even under irrigation. Use of MZ for vari... Mostrar Tudo |
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Palavras-Chave: |
Condições ambientais; Milho irrigado; Propriedades químicas; Solos; Variabilidade espacial. |
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Thesagro: |
Agricultura de Precisão. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02511naa a2200253 a 4500
001 1015490
005 2017-07-14
008 2004 bl uuuu u00u1 u #d
100 1 $aSCHEPERS A. R.
245 $aAppropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years.$h[electronic resource]
260 $c2004
520 $aRecent precision-agriculture research has focused on use of management zones (MZ) as a method for variable application of inputs like N. The objectives of this study were to determine (i) if landscape attributes could be aggregated into MZ that characterize spatial variation in soil chemical properties and corn yields and (ii) if temporal variability affects expression of yield spatial variability. This work was conducted on an irrigated cornfield near Gibbon, NE. Five landscape attributes, including a soil brightness image (red, green, and blue bands), elevation, and apparent electrical conductivity, were acquired for the field. A georeferenced soil-sampling scheme was used to determine soil chemical properties (soil pH, electrical conductivity, P, and organic matter). Georeferenced yield monitor data were collected for five (1997-2001) seasons. The five landscape attributes were aggregated into four MZ using principal-component analysis of landscape attributes and unsupervised classification of principal-component scores. All of the soil chemical properties differed among the four MZ. While yields were observed to differ by up to 25% between the highest- and lowest-yielding MZ in three of five seasons, receiving average precipitation, less-pronounced (5%) differences were noted among the same MZ in the driest and wettest seasons. This illustrates the significant role temporal variability plays in altering yield spatial variability, even under irrigation. Use of MZ for variable application of inputs like N would only have been appropriate for this field in three out of the five seasons, seriously restricting the use of this approach under variable environmental conditions.
650 $aAgricultura de Precisão
653 $aCondições ambientais
653 $aMilho irrigado
653 $aPropriedades químicas
653 $aSolos
653 $aVariabilidade espacial
700 1 $aSHANAHAN, J. F.
700 1 $aLIEBIG, M. A.
700 1 $aSCHEPERS, J. S.
700 1 $aJOHNSON, S. H.
700 1 $aLUCHIARI JUNIOR, A.
773 $tAgronomy Journal, Madison$gv. 96, n.1, p. 195-203, 2004.
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