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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
14/05/2010 |
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Data da última atualização: |
20/05/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, A. H. de C. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA. |
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Título: |
Determining regional actual evapotranspiration ofirrigated crops and natural vegetation in the São Francisco river basin (Brazil) using remote sensing and Penman-Monteith equation. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Remote Sensing, Basel, v. 2, n. 5, p.1287-1319, 2010. |
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DOI: |
10.3390/rs0251287 |
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Idioma: |
Inglês |
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Conteúdo: |
To achieve sustainable development a nd to ensure water availability in hydrological basins, water managers need tools to determine the actual evapotranspiration (ET) on a large scale. Field energy balances fr om irrigated and natura l ecosystems together with a net of agro-meteorological stations were used to develop two models for ET quantification at basin scale, based on the Penman-Monteith equation. The first model (PM1) uses the resistances to the latent heat fluxes estimated from satellite measurements, while the second one (PM2) is based on the ratio of ET to the refere nce evapotranspiration (ET0) and its relation to remote sensing parame ters. The models were applied in the Low-Middle São Francisco river basin in Brazil and, after comparison against field results, showed good agreements with PM1 and PM2 explaining, respectively, 79% and 89% of the variances and mean square errors (RMSE) of 0.44 and 0.34 mm d?1. Even though the PM1 model was not chosen for ET calculatio ns, the equation for surface resistance (rs) was applied to infer the soil moisture conditions in a simplified vegetation classification. The maximum values of rs were for natural vegetation?c aatinga (average of 1,937 s m?1). Wine grape and mango orchard presented similar values around 130 s m?1, while table grape presented the lowest ones, averaging 74 s m?1. Petrolina and Juazeiro, in Pernambuco (PE) and Bahia (BA) states, respectively, were highlighted with the biggest irrigated areas. The highest increments are for vineyards and mango orchards. For the first crop the maximum increment was verified between 2003 and 2004 in Petrolina-PE, when the cultivated area increased 151%. In the case of mango orchards the most significant period was from 2005 to 2006 in Juazeiro-BA (129%). As the best performance was for PM2, it was selected and used to analyse the regional ET at daily and annual scales, making use of Landsat images and a geograp hic information system for different soil moisture conditions. Considering the daily rates of the regional ET, pixels with values lower than 1.0 mm d?1 occurred outside the rainy season, representing the caatinga species. Values from 1.0 to 5.0 mm d-during the driest conditions of the year coincided with irrigated crops, being the highest values for table grapes. The highest accumulated ET values during 2006 were for mango orchards, being around 500–1,300 mm yr?1. Vineyards presented lower values, ranging from 450–800 mm yr?1, while in caatinga they were between 200 and 400 mm yr ?1. It could be concluded that irrigated mango orchards and vineyards in that year consumed more water than caatinga by factors of 3 and 2, respectively. The mango orchards and vineya rd areas, representing 19.4 and 8.2% of the total irrigated area, respec tively, resulting in a total evaporative depletion of 0.22 km 3 yr?1in the growing regions comprised of the agro-meteorological stations. MenosTo achieve sustainable development a nd to ensure water availability in hydrological basins, water managers need tools to determine the actual evapotranspiration (ET) on a large scale. Field energy balances fr om irrigated and natura l ecosystems together with a net of agro-meteorological stations were used to develop two models for ET quantification at basin scale, based on the Penman-Monteith equation. The first model (PM1) uses the resistances to the latent heat fluxes estimated from satellite measurements, while the second one (PM2) is based on the ratio of ET to the refere nce evapotranspiration (ET0) and its relation to remote sensing parame ters. The models were applied in the Low-Middle São Francisco river basin in Brazil and, after comparison against field results, showed good agreements with PM1 and PM2 explaining, respectively, 79% and 89% of the variances and mean square errors (RMSE) of 0.44 and 0.34 mm d?1. Even though the PM1 model was not chosen for ET calculatio ns, the equation for surface resistance (rs) was applied to infer the soil moisture conditions in a simplified vegetation classification. The maximum values of rs were for natural vegetation?c aatinga (average of 1,937 s m?1). Wine grape and mango orchard presented similar values around 130 s m?1, while table grape presented the lowest ones, averaging 74 s m?1. Petrolina and Juazeiro, in Pernambuco (PE) and Bahia (BA) states, respectively, were highlighted with the biggest irrigated areas. The highes... Mostrar Tudo |
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Palavras-Chave: |
Modelagem. |
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Thesagro: |
Balanço de energia; Evapotranspiração; Recurso hídrico; Sensoriamento remoto. |
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Thesaurus Nal: |
Evapotranspiration; Irrigation; Remote Sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/17993/1/Heriberto_2010.pdf
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Marc: |
LEADER 03699naa a2200229 a 4500
001 1852959
005 2016-05-20
008 2010 bl uuuu u00u1 u #d
024 7 $a10.3390/rs0251287$2DOI
100 1 $aTEIXEIRA, A. H. de C.
245 $aDetermining regional actual evapotranspiration ofirrigated crops and natural vegetation in the São Francisco river basin (Brazil) using remote sensing and Penman-Monteith equation.
260 $c2010
520 $aTo achieve sustainable development a nd to ensure water availability in hydrological basins, water managers need tools to determine the actual evapotranspiration (ET) on a large scale. Field energy balances fr om irrigated and natura l ecosystems together with a net of agro-meteorological stations were used to develop two models for ET quantification at basin scale, based on the Penman-Monteith equation. The first model (PM1) uses the resistances to the latent heat fluxes estimated from satellite measurements, while the second one (PM2) is based on the ratio of ET to the refere nce evapotranspiration (ET0) and its relation to remote sensing parame ters. The models were applied in the Low-Middle São Francisco river basin in Brazil and, after comparison against field results, showed good agreements with PM1 and PM2 explaining, respectively, 79% and 89% of the variances and mean square errors (RMSE) of 0.44 and 0.34 mm d?1. Even though the PM1 model was not chosen for ET calculatio ns, the equation for surface resistance (rs) was applied to infer the soil moisture conditions in a simplified vegetation classification. The maximum values of rs were for natural vegetation?c aatinga (average of 1,937 s m?1). Wine grape and mango orchard presented similar values around 130 s m?1, while table grape presented the lowest ones, averaging 74 s m?1. Petrolina and Juazeiro, in Pernambuco (PE) and Bahia (BA) states, respectively, were highlighted with the biggest irrigated areas. The highest increments are for vineyards and mango orchards. For the first crop the maximum increment was verified between 2003 and 2004 in Petrolina-PE, when the cultivated area increased 151%. In the case of mango orchards the most significant period was from 2005 to 2006 in Juazeiro-BA (129%). As the best performance was for PM2, it was selected and used to analyse the regional ET at daily and annual scales, making use of Landsat images and a geograp hic information system for different soil moisture conditions. Considering the daily rates of the regional ET, pixels with values lower than 1.0 mm d?1 occurred outside the rainy season, representing the caatinga species. Values from 1.0 to 5.0 mm d-during the driest conditions of the year coincided with irrigated crops, being the highest values for table grapes. The highest accumulated ET values during 2006 were for mango orchards, being around 500–1,300 mm yr?1. Vineyards presented lower values, ranging from 450–800 mm yr?1, while in caatinga they were between 200 and 400 mm yr ?1. It could be concluded that irrigated mango orchards and vineyards in that year consumed more water than caatinga by factors of 3 and 2, respectively. The mango orchards and vineya rd areas, representing 19.4 and 8.2% of the total irrigated area, respec tively, resulting in a total evaporative depletion of 0.22 km 3 yr?1in the growing regions comprised of the agro-meteorological stations.
650 $aEvapotranspiration
650 $aIrrigation
650 $aRemote Sensing
650 $aBalanço de energia
650 $aEvapotranspiração
650 $aRecurso hídrico
650 $aSensoriamento remoto
653 $aModelagem
773 $tRemote Sensing, Basel$gv. 2, n. 5, p.1287-1319, 2010.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
28/01/2019 |
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Data da última atualização: |
28/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SANTOS, J. V. M. dos; YAMANAKA, N.; MARCELINO-GUIMARÃES, F. C.; TOLEDO, J. F. F. de; ARIAS, C. A. A.; ABDELNOOR, R. V. |
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Afiliação: |
AUTOR; JIRCAS; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO; NIDERA SEMENTES, SORRISO, MT; CARLOS ALBERTO ARRABAL ARIAS, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO. |
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Título: |
Molecular mapping of quantitative trait loci for agronomical traits in soybean under Asian soybean rust infection. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 18, n. 4, p. 390-398, 2018. |
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DOI: |
10.1590/1984-70332018v18n4a58 |
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Idioma: |
Inglês |
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Thesagro: |
Doença de Planta; Ferrugem; Glycine Max; Phakopsora Pachyrhizi; Soja. |
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Thesaurus NAL: |
Linkage (genetics); Molecular models; Polygenis; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/191409/1/Santos-Molecular.pdf
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Marc: |
LEADER 00912naa a2200289 a 4500
001 2104904
005 2019-01-28
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1590/1984-70332018v18n4a58$2DOI
100 1 $aSANTOS, J. V. M. dos
245 $aMolecular mapping of quantitative trait loci for agronomical traits in soybean under Asian soybean rust infection.$h[electronic resource]
260 $c2018
650 $aLinkage (genetics)
650 $aMolecular models
650 $aPolygenis
650 $aSoybeans
650 $aDoença de Planta
650 $aFerrugem
650 $aGlycine Max
650 $aPhakopsora Pachyrhizi
650 $aSoja
700 1 $aYAMANAKA, N.
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aTOLEDO, J. F. F. de
700 1 $aARIAS, C. A. A.
700 1 $aABDELNOOR, R. V.
773 $tCrop Breeding and Applied Biotechnology$gv. 18, n. 4, p. 390-398, 2018.
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Embrapa Soja (CNPSO) |
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