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Registros recuperados : 17 | |
4. | | APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; MENESES, K. C. de; VALERIANO, T. T. B. Neural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates. Archives of Agronomy and Soil Science, v. 65, n. 11, p. 1477-1492, 2019. Biblioteca(s): Embrapa Amazônia Oriental. |
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5. | | MARTORANO, L. G.; MORAES, J. R. da S. C. de; LISBOA, L. S. S.; GOMES JUNIOR, R. A.; AMARAL, V. P. do; APARECIDO, L. E. de O. Expansion of palm oil (Elaeis guineensis Jacq.) in the state of Maranhão and soil water deficit limitations in the Brazilian Amazon. Australian Journal of Crop Science, v. 11, n. 11, p. 1386-1391, Nov. 2017. Biblioteca(s): Embrapa Amazônia Oriental. |
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6. | | OLIVEIRA JÚNIOR, G. G. de; SILVA, A. B. da; LIMA, M. A. de; SILVA, J. C. T. R. da; FLORENTINO, L. A.; APARECIDO, L. E. de O. Estimativa da emissão de CO2 equivalente em operações mecanizadas na cultura do cafeeiro. Revista em Agronegócio e Meio Ambiente, v. 13, n. 1, p. 301-316, 2020. Biblioteca(s): Embrapa Meio Ambiente. |
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8. | | MARTORANO, L. G.; SOARES, W. B.; MORAES, J. R. da S. C. de; NASCIMENTO, W.; APARECIDO, L. E. de O.; VILLA, P. M. Climatology of air temperature in Belterra: thermal regulation ecosystem services provided by the Tapajós National Forest in the Amazon. Revista Brasileira de Meteorologia, v. 36, n. 2, 327-337, 2021. Biblioteca(s): Embrapa Amazônia Oriental. |
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9. | | MORAES, J. R. da S. C.; MARTORANO, L. G.; BARBOSA, A. M. da S.; APARECIDO, L. E. de O.; ROLIM, G. de S. Performance do modelo ECMWF nas estimações de chuva e temperatura do ar no município de Belterra, Pará. In: SEMINÁRIO DE PESQUISA DA FLORESTA NACIONAL DO TAPAJÓS, 3.; SEMINÁRIO DE PESQUISA DA RESERVA EXTRATIVISTA TAPAJÓS ARAPIUNS, 1., 2017, Santarém. Anais... Santarém: Instituto Chico Mendes de Conservação da Biodiversidade: ICMBio, 2018. p. 171. Biblioteca(s): Embrapa Amazônia Oriental. |
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11. | | ALVES, D. M. R.; MARTORANO, L. G.; MORAES, J. R. da S. C. de; NASCIMENTO, W.; APARECIDO, L. E. de O.; MELLO, K. K. de S.; SOUSA, E. D. V. de. Produtividade de cultivares de soja associada a graus-dia acumulados sob condição agrometeorológicas em Belterra (PA). Revista Ibero-Americana de Ciências Ambientais, v. 9, n. 6, p. 46-53, 2018. Biblioteca(s): Embrapa Amazônia Oriental. |
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12. | | MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; OLIVEIRA, M. do S. P. de; FARIAS NETO, J. T. de. Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon. Journal of the Science of Food and Agriculture, v. 100, n. 4, p. 1558-1569, Mar. 2020. Biblioteca(s): Embrapa Amazônia Oriental. |
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13. | | PIMENTEL, M. S.; MARTORANO, L. G.; MARTINS, A. C. C. T.; WATRIN, O. dos S.; PONTES, A. N.; BARBOSA, A. M. da S.; MORAES, J. R. da S. C. de; APARECIDO, L. E. de O. Expressões fenológicas de palmeiras em coleções botânicas associadas às condições pluviais na Floresta Tapajós. Revista Ibero Americana de Ciências Ambientais, v. 9, n. 5, p. 39-50, 2018. Biblioteca(s): Embrapa Amazônia Oriental. |
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14. | | MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; BISPO, R. C.; VALERIANO, T. T. B.; ESTEVES, J. T. Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon. Theoretical and Applied Climatology, v. 141, p. 803-816, 2020. Biblioteca(s): Embrapa Amazônia Oriental. |
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15. | | MARTORANO, L. G.; MORAES, J. R. da S. C. de; SILVA, L. K. X.; FERNANDES, P. C. C.; AMARAL JÚNIOR, J. M. do; LISBOA, L. S.; NEVES, K. A. L.; PACHECO, A.; BELDINI, T. P.; APARECIDO, L. E. de O.; SILVA, W. C. da; GODINHO, V. de P. C. Agricultural and livestock production in the Amazon: a reflection on the necessity of adoption of integrated production strategies in the western region of the state of Pará. Australian Journal of Crop Science, v. 15, n. 08, p. 1102-1109, 2021. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Rondônia. |
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16. | | APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; SOARES, S. dos S.; MENESES, K. C. de; COSTA, C. T. S.; MESQUITA, D. Z.; BARBOSA, A. M. da S.; AMARAL, E. F. do; BARDALES, N. G. Neural networks in spatialization of meteorological elements and their application in the climatic agricultural zoning of bamboo. International Journal of Biometeorology, v. 62, n. 11, p. 1955-1962, Nov. 2018. Biblioteca(s): Embrapa Acre; Embrapa Amazônia Oriental. |
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17. | | MARTORANO, L. G.; GUEDES, M. C.; LISBOA, L. S.; MORAES, J. R. da S. C. de; NASCIMENTO, N. C. C. do; SALOMÃO, R. de P.; MARTORANO, P. G.; APARECIDO, L. E. de O.; TOURNE, D. C. M.; DIAS, C. T. dos S.; LIRA-GUEDES, A. C.; REALE, F. C. G.; OLIVEIRA JUNIOR, R. C. de; SILVA, L. M. da; PEREIRA, M. G.; WADT, L. H. de O.; SILVA, K. E. da. Condições topoclimáticas e serviços ecossistêmicos prestados pelas castanheiras no Bioma Amazônia. In: WADT, L. H. de O.; MAROCCOLO, J. F.; GUEDES, M. C.; SILVA, K. E. da (ed.). Castanha-da-amazônia: estudos sobre a espécie e sua cadeia de valor. Brasília, DF: Embrapa, 2023. v. 1. cap. 12, p. 315-352. ODS 2, ODS 3, ODS 8, ODS 11, ODS 12, ODS 13, ODS 17. Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Rondônia. |
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Registros recuperados : 17 | |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
07/01/2020 |
Data da última atualização: |
04/06/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; OLIVEIRA, M. do S. P. de; FARIAS NETO, J. T. de. |
Afiliação: |
José Reinaldo da Silva Cabral de Moraes, UNESP; Glauco de Souza Rolim, UNESP; LUCIETA GUERREIRO MARTORANO, CPATU; Lucas Eduardo de Oliveira Aparecido, UNESP; MARIA DO SOCORRO P DE OLIVEIRA, CPATU; JOAO TOME DE FARIAS NETO, CPATU. |
Título: |
Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Journal of the Science of Food and Agriculture, v. 100, n. 4, p. 1558-1569, Mar. 2020. |
DOI: |
10.1002/jsfa.10164 |
Idioma: |
Inglês |
Conteúdo: |
The increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and November for the RAINF. MenosThe increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and Novembe... Mostrar Tudo |
Thesagro: |
Açaí; Clima; Euterpe Oleracea; Produção. |
Thesaurus NAL: |
Crop models. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02318naa a2200253 a 4500 001 2118319 005 2020-06-04 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1002/jsfa.10164$2DOI 100 1 $aMORAES, J. R. da S. C. de 245 $aAgrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon.$h[electronic resource] 260 $c2020 520 $aThe increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and November for the RAINF. 650 $aCrop models 650 $aAçaí 650 $aClima 650 $aEuterpe Oleracea 650 $aProdução 700 1 $aROLIM, G. de S. 700 1 $aMARTORANO, L. G. 700 1 $aAPARECIDO, L. E. de O. 700 1 $aOLIVEIRA, M. do S. P. de 700 1 $aFARIAS NETO, J. T. de 773 $tJournal of the Science of Food and Agriculture$gv. 100, n. 4, p. 1558-1569, Mar. 2020.
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