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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
07/01/2020 |
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Data da última atualização: |
04/06/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of the Science of Food and Agriculture, v. 100, n. 4, p. 1558-1569, Mar. 2020. |
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DOI: |
10.1002/jsfa.10164 |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Açaí; Clima; Euterpe Oleracea; Produção. |
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Thesaurus Nal: |
Crop models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
20/06/2008 |
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Data da última atualização: |
19/07/2011 |
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Autoria: |
DLUGOSZ, F.; KURASZ, G.; ROSOT, N. C.; ROSOT, M. A. D.; OLIVEIRA, Y. M. M. de. |
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Afiliação: |
Fernando Luís Dlugosz, UFPR; Gilberto Kurasz, UFPR; Nelson Carlos Rosot, UFPR; Maria Augusta Doetzer Rosot, Embrapa Florestas; Yeda Maria Malheiros de Oliveira, Embrapa Florestas. |
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Título: |
Identificação de espécies florestais do dossel e sua relação com estágios sucessionais da floresta. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
In: DISPERATI, A. A.; SANTOS, J. R. dos (Ed.). Aplicações de geotecnologias na engenharia florestal. Curitiba: Copiadora Gabardo, 2004. |
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Páginas: |
p. 273-274. |
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Idioma: |
Português |
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Palavras-Chave: |
Dossel; Espécie florestal; Sucessão florestal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00695naa a2200205 a 4500
001 1314300
005 2011-07-19
008 2004 bl uuuu u00u1 u #d
100 1 $aDLUGOSZ, F.
245 $aIdentificação de espécies florestais do dossel e sua relação com estágios sucessionais da floresta.
260 $c2004
300 $ap. 273-274.
653 $aDossel
653 $aEspécie florestal
653 $aSucessão florestal
700 1 $aKURASZ, G.
700 1 $aROSOT, N. C.
700 1 $aROSOT, M. A. D.
700 1 $aOLIVEIRA, Y. M. M. de
773 $tIn: DISPERATI, A. A.; SANTOS, J. R. dos (Ed.). Aplicações de geotecnologias na engenharia florestal. Curitiba: Copiadora Gabardo, 2004.
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Embrapa Florestas (CNPF) |
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