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| Registros recuperados : 44 | |
| 7. |  | GALVANI, E.; ESCOBEDO, J. F.; SILVA, M. A. de A.; KLOSOWKI, E. S. Balanco de energia em cultura de pepino (Cucumis sativus L.) em meio protegido por polietileno. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 11.; REUNIAO LATINO-AMERICANA DE AGROMETEOROLOGIA, 2., 1999, Florianopolis, SC. Sessao de paineis... Florianopolis: SBA / EPAGRI / UFSC / UDESC, 1999. nao paginado. CD-ROM.| Biblioteca(s): Embrapa Hortaliças. |
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| 17. | | MEDEIROS. R. da S.; SILVA, M. A. de O.; SILVA, E. S. da; CORREIA, R. C.; SILVA, T. M. S. Strengthening of the beekeeping activity of the municipality of Delmiro Gouveia–AL, through the Lagos do São Francisco Project. In: INTERNATIONAL APICULTURAL CONGRESS, 48., 2023, Santiago. Sustainable beekeeping, from the South to the world: abstract book... Santiago: APIMONDIA, 2023. p. 184.| Biblioteca(s): Embrapa Semiárido. |
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| 18. | | WERNER, F.; BALBINOT JUNIOR, A. A.; FERREIRA, A. S.; SILVA, M. A. de A. e; DEBIASI, H.; FRANCHINI, J. C. Soybean growth affected by seeding rate and mineral nitrogen. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 20, n. 8, p. 734-738, 2016.| Biblioteca(s): Embrapa Soja. |
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| 19. | | WERNER, F.; BALBINOT JUNIOR, A. A.; FERREIRA, A. S.; FRANCHINI, J. C.; DEBIASI, H.; SILVA, M. A. de A. e. Soybean growth and nitrogen accumulation by soybeans in response to desiccation times of Urochloa brizantha pasture and nitrogen fertilization. Semina. Ciências Agrárias, v. 44, n. 1, p. 237-256, 2023. Título em português: Crescimento e acúmulo de nitrogênio pela soja em função de épocas de dessecação de pastagem de Urochloa brizantha e adubação nitrogenada.| Biblioteca(s): Embrapa Soja. |
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| 20. | | WERNER, F.; BALBINOT JUNIOR, A. A.; FRANCHINI, J. C.; FERREIRA, A. S.; SILVA, M. A. de A. e. Agronomic performance of soybean cultivars in an agroforestry system. Pesquisa Agropecuária Tropical, Goiânia, v. 47, n. 3, p. 279-285, Jul./Sep. 2017.| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 44 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
03/12/2018 |
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Data da última atualização: |
25/02/2019 |
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Autoria: |
IGARASHI, W. T.; SILVA, M. A. de A.; FRANÇA, J. A. de; IGARASHI, S.; SAAB, O. J. G. A. |
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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. |
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Título: |
Estimation of soybean leaf wetness from meteorological variables. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 10, p. 1087-1092, Oct. 2018. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Estimativa do molhamento foliar da soja a partir de variáveis meteorológicas. |
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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. |
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Palavras-Chave: |
Leaf wetness sensors; Modelo empírico; Percentage of leaf wetness; Percentagem de molhamento foliar; Sensor de molhamento foliar. |
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Thesagro: |
Glycine Max. |
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Categoria do assunto: |
-- |
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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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Embrapa Unidades Centrais (AI-SEDE) |
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