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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
30/10/2014 |
Data da última atualização: |
30/10/2014 |
Autoria: |
VEGA GONZÁLEZ, L. E.; BARBOSA, A. L.; ARCOS, H. P. |
Título: |
Resultados de la asociacion de cuatro variedades de Musa paradisiaca con Bactris gasipaes H.B.K. rojo y amarillo. Bajo Calima (Colombia). |
Ano de publicação: |
1985 |
Fonte/Imprenta: |
Bogotá: CONIF, 1985. |
Páginas: |
17 p. |
Série: |
(CONIF. Serie Tecnica, 16). |
Idioma: |
Espanhol |
Conteúdo: |
Sobre suelos aluviales del rio Calima, Buenaventura (Colombia), se esta bleció la asociación de Bactris gasipaes H.B.K. de los tipos rojo y amarillo con cuatro variedades de plátano, para conocer la productividad y seleccionar las más adaptables a las condiciones locales. |
Palavras-Chave: |
Family farming; Manejo de culturas; Plantio consorciado. |
Thesagro: |
Agricultura familiar. |
Categoria do assunto: |
A Sistemas de Cultivo |
Marc: |
LEADER 00909nam a2200205 a 4500 001 1998861 005 2014-10-30 008 1985 bl uuuu u0uu1 u #d 100 1 $aVEGA GONZÁLEZ, L. E. 245 $aResultados de la asociacion de cuatro variedades de Musa paradisiaca con Bactris gasipaes H.B.K. rojo y amarillo. Bajo Calima (Colombia). 260 $aBogotá: CONIF$c1985 300 $a17 p. 490 $a(CONIF. Serie Tecnica, 16). 520 $aSobre suelos aluviales del rio Calima, Buenaventura (Colombia), se esta bleció la asociación de Bactris gasipaes H.B.K. de los tipos rojo y amarillo con cuatro variedades de plátano, para conocer la productividad y seleccionar las más adaptables a las condiciones locales. 650 $aAgricultura familiar 653 $aFamily farming 653 $aManejo de culturas 653 $aPlantio consorciado 700 1 $aBARBOSA, A. L. 700 1 $aARCOS, H. P.
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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
03/12/2018 |
Data da última atualização: |
25/02/2019 |
Autoria: |
IGARASHI, W. T.; SILVA, M. A. de A.; FRANÇA, J. A. de; IGARASHI, S.; SAAB, O. J. G. A. |
Afiliação: |
Wagner Teigi Igarashi, Universidade Estadual de Londrina - UEL/Departamento de Agronomia; Marcelo Augusto de Aguiar e Silva, Universidade Estadual de Londrina - UEL/Departamento de Agronomia; José Alexandre de França, Universidade Estadual de Londrina - UEL/Departamento de Engenharia Elétrica; Seiji Igarashi, Universidade Estadual de Londrina - UEL/Departamento de Agronomia; Otávio Jorge Grigoli Abi Saab, Universidade Estadual de Londrina - UEL/Departamento de Agronomia. |
Título: |
Estimation of soybean leaf wetness from meteorological variables. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 10, p. 1087-1092, Oct. 2018. |
Idioma: |
Inglês |
Notas: |
Título em português: Estimativa do molhamento foliar da soja a partir de variáveis meteorológicas. |
Conteúdo: |
The objective of this work was to determine models for the estimation of leaf wetness percentage at three heights in the soybean (Glycine max) canopy, using meteorological variables from stations installed at the crop site and at an agrometeorological station. The experiment was conducted in three harvest seasons, in an area cropped with soybean, in the municipality of Londrina, in the state of Paraná, Brazil. To collect the meteorological variables, electronic trees were installed at four heights (0.3, 0.6, 0.9, and 1.7 m) in the crop and a station was installed in an agrometeorological station. The data were separated according to days with and without rain, and the analyses of correlation and of simple and multiple regressions were carried out, in order to obtain models with equations for leaf wetness estimation. Most of the equations that did not use the data of the sensors installed at 1.7 m, especially those of the models based on variables only from the agrometeorological station, presented low reliability. The models obtained with meteorological data only from the soybean crop show high reliability and use a lower amount of variables, which makes them a good alternative for wetness estimation. |
Palavras-Chave: |
Leaf wetness sensors; Modelo empírico; Percentage of leaf wetness; Percentagem de molhamento foliar; Sensor de molhamento foliar. |
Thesagro: |
Glycine Max. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187535/1/Estimation-of-soybean-leaf-wetness.pdf
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Marc: |
LEADER 02108naa a2200253 a 4500 001 2100536 005 2019-02-25 008 2018 bl uuuu u00u1 u #d 100 1 $aIGARASHI, W. T. 245 $aEstimation of soybean leaf wetness from meteorological variables.$h[electronic resource] 260 $c2018 500 $aTítulo em português: Estimativa do molhamento foliar da soja a partir de variáveis meteorológicas. 520 $aThe objective of this work was to determine models for the estimation of leaf wetness percentage at three heights in the soybean (Glycine max) canopy, using meteorological variables from stations installed at the crop site and at an agrometeorological station. The experiment was conducted in three harvest seasons, in an area cropped with soybean, in the municipality of Londrina, in the state of Paraná, Brazil. To collect the meteorological variables, electronic trees were installed at four heights (0.3, 0.6, 0.9, and 1.7 m) in the crop and a station was installed in an agrometeorological station. The data were separated according to days with and without rain, and the analyses of correlation and of simple and multiple regressions were carried out, in order to obtain models with equations for leaf wetness estimation. Most of the equations that did not use the data of the sensors installed at 1.7 m, especially those of the models based on variables only from the agrometeorological station, presented low reliability. The models obtained with meteorological data only from the soybean crop show high reliability and use a lower amount of variables, which makes them a good alternative for wetness estimation. 650 $aGlycine Max 653 $aLeaf wetness sensors 653 $aModelo empírico 653 $aPercentage of leaf wetness 653 $aPercentagem de molhamento foliar 653 $aSensor de molhamento foliar 700 1 $aSILVA, M. A. de A. 700 1 $aFRANÇA, J. A. de 700 1 $aIGARASHI, S. 700 1 $aSAAB, O. J. G. A. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 53, n. 10, p. 1087-1092, Oct. 2018.
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