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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
31/10/2007 |
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Data da última atualização: |
25/02/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
LOURENÇO, F. de S.; LOURENÇO, J. N. de P. |
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Afiliação: |
F. de S. Lourenço, Comissão Pastoral da Terra; José Nestor de Paula Lourenço, CPAA. |
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Título: |
Diagnóstico participativo em comunidades ribeirinhas na Amazônia: peixes e sua ecologia. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: REUNIÃO AMAZÔNICA DE AGROECOLOGIA, 1., 2007, Manaus. A agroecologia no contexto amazônico. [Manaus: Embrapa Amazônia Ocidental, 2007]. p. 257-259. |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho teve o objetivo de levantar o conhecimento do ribeirinho sobre a ecologia dos peixes em relação ao hábito alimentar, e quais as principais plantas utilizadas como alimento para estas populações locais por meio de oficinas participativas. |
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Palavras-Chave: |
Sazonalidade. |
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Thesagro: |
Alimento; Fruto; Peixe. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/112543/1/Diagnostico.pdf
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Marc: |
LEADER 00852nam a2200169 a 4500
001 1681446
005 2019-02-25
008 2007 bl uuuu u00u1 u #d
100 1 $aLOURENÇO, F. de S.
245 $aDiagnóstico participativo em comunidades ribeirinhas na Amazônia$bpeixes e sua ecologia.
260 $aIn: REUNIÃO AMAZÔNICA DE AGROECOLOGIA, 1., 2007, Manaus. A agroecologia no contexto amazônico. [Manaus: Embrapa Amazônia Ocidental, 2007]. p. 257-259.$c2007
520 $aEste trabalho teve o objetivo de levantar o conhecimento do ribeirinho sobre a ecologia dos peixes em relação ao hábito alimentar, e quais as principais plantas utilizadas como alimento para estas populações locais por meio de oficinas participativas.
650 $aAlimento
650 $aFruto
650 $aPeixe
653 $aSazonalidade
700 1 $aLOURENÇO, J. N. de P.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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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. |
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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Circulação/Nível: |
A - 1 |
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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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Embrapa Amazônia Oriental (CPATU) |
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