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76. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | TEIXEIRA, A. H. de C.; LEIVAS, J. F.; ANDRADE, R. G.; HERNANDEZ, F. B. T. Water productivity assessments with Landsat 8 images in the Nilo Coelho irrigation scheme. Irriga, Botucatu, v. 1, n. 2, edição especial, p. 1-10, 2015. Biblioteca(s): Embrapa Territorial. |
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Registros recuperados : 110 | |
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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
28/07/2015 |
Data da última atualização: |
24/05/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
C - 0 |
Autoria: |
TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T.; ANDRADE, R. G.; LEIVAS, J. F.; VICTORIA, D. de C.; BOLFE, E. L. |
Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; FERNANDO BRAZ TANGERINO HERNANDEZ, UNESP; RICARDO GUIMARAES ANDRADE, CNPM; JANICE FREITAS LEIVAS, CNPM; DANIEL DE CASTRO VICTORIA, CNPM; EDSON LUIS BOLFE, CNPM. |
Título: |
Corn water variables assessments from earth observation data in the São Paulo State, Southeast Brazil. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Journal of Hydraulic Engineering, v. 1, p. 1-11, 2015. |
ISBN: |
2332-8215 |
DOI: |
10.17265/2332-8215/2015.01.001 |
Idioma: |
Português |
Conteúdo: |
Landsat satellite images and agrometeorological data were used together for modelling the crop coefficient (Kc) in irrigation pivots composed by a mixture of corn hybrids from a commercial farm for grains and silage, located at the northwestern side of São Paulo state, Brazil. After developing relationships between Kc and the accumulated degree-days (DDac) and having yield data for 2012 available, they were applied in the whole state, to upscale the crop water variables, during the GS (growing seasons) of a second-harvest crop from March to August. Spatial thermohydrological differences among the main corn growing regions were clear. The largest CWP (crop water productivity) values and SD (standard deviations) were for Itapetininga with an average value of 1.60 ± 0.43 kg m-3, while the lowest ones were for Presidente Prudente (0.81 ± 0.21 kg m-3). As corn is important for these growing regions, being inside of the priorities from the Brazilian Ministry of Agriculture, these results should be considered for a rational exploration, including both, irrigation and rainfed conditions, as the actual water scarcity can bring much competition with other non-agricultural sectors. |
Palavras-Chave: |
Crop water productivity; Degree-days; Water indicator. |
Thesaurus NAL: |
Crop coefficient. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 01976naa a2200253 a 4500 001 2020683 005 2017-05-24 008 2015 bl uuuu u00u1 u #d 022 $a2332-8215 024 7 $a10.17265/2332-8215/2015.01.001$2DOI 100 1 $aTEIXEIRA, A. H. de C. 245 $aCorn water variables assessments from earth observation data in the São Paulo State, Southeast Brazil.$h[electronic resource] 260 $c2015 520 $aLandsat satellite images and agrometeorological data were used together for modelling the crop coefficient (Kc) in irrigation pivots composed by a mixture of corn hybrids from a commercial farm for grains and silage, located at the northwestern side of São Paulo state, Brazil. After developing relationships between Kc and the accumulated degree-days (DDac) and having yield data for 2012 available, they were applied in the whole state, to upscale the crop water variables, during the GS (growing seasons) of a second-harvest crop from March to August. Spatial thermohydrological differences among the main corn growing regions were clear. The largest CWP (crop water productivity) values and SD (standard deviations) were for Itapetininga with an average value of 1.60 ± 0.43 kg m-3, while the lowest ones were for Presidente Prudente (0.81 ± 0.21 kg m-3). As corn is important for these growing regions, being inside of the priorities from the Brazilian Ministry of Agriculture, these results should be considered for a rational exploration, including both, irrigation and rainfed conditions, as the actual water scarcity can bring much competition with other non-agricultural sectors. 650 $aCrop coefficient 653 $aCrop water productivity 653 $aDegree-days 653 $aWater indicator 700 1 $aHERNANDEZ, F. B. T. 700 1 $aANDRADE, R. G. 700 1 $aLEIVAS, J. F. 700 1 $aVICTORIA, D. de C. 700 1 $aBOLFE, E. L. 773 $tJournal of Hydraulic Engineering$gv. 1, p. 1-11, 2015.
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