| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
|
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 |
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 351 | |
| 21. |  | MORAES, J. R. da S. C. de; MARTORANO, L. G. Eventos pluviais associados à produção de palma de óleo em Moju, Pará. In: SIMPÓSIO DE ESTUDOS E PESQUISAS EM CIÊNCIAS AMBIENTAIS NA AMAZÔNIA, 1., 2012, Belém, PA. Anais: resumos dos trabalhos aprovados. [Belém, PA]: Universidade do Estado do Pará, Centro de Ciências Naturais e Tecnologia, 2012. p. 127.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
|    |
| 25. | | TOURNE, D.; BALLESTER, M.; MARTORANO, L. G.; FERRAZ, K.; MONTEIRO, M.; VICENTINI, J. Amazon nut (Bertholletia excelsa) distribution modeling for conservation and planting support in the Pan-Amazon: Anthropogenic pressures and environmental perception in the Acará municipality, State of Pará, Brazil. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: Engineering Change. [S.l.]: Elsevier, 2016.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 26. | | BARBOSA, A. de M.; FRANCO, I. M.; MARTORANO, L. G.; MONTEIRO, L. G. Arquitetura sustentável sob a ótica de conforto térmico e qualidade socioambiental em ecossistemas insulares na Amazônia. In: SIMPÓSIO DE ESTUDOS E PESQUISAS EM CIÊNCIAS AMBIENTAIS NA AMAZÔNIA, 1., 2012, Belém, PA. Anais: resumos dos trabalhos aprovados. [Belém, PA]: Universidade do Estado do Pará, Centro de Ciências Naturais e Tecnologia, 2012. p. 72.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 28. | | SOUSA, T. S.; OLIVEIRA, M. do S. P. de; MARTORANO, L. G. Avaliação de caracteres físicos em frutos de matrizes de Oenocarpus bacaba Martius procedentes de Terra Santa - PA. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA, 19.; SEMINÁRIO DE PÓS-GRADUAÇÃO DA EMBRAPA AMAZÔNIA ORIENTAL, 3., 2015, Belém, PA. Anais. Belém, PA: Embrapa Amazônia Oriental, 2015. p. 207-211.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 31. | | PAULETTO, D.; ARCO-VERDE, M. F.; MARTORANO, L. G.; PACO, N. V.; SAULESLEJA, B.; QUIROZ, F. Análise financeira de sistema agroflorestal em Belterra, Pará. In: CONFERÊNCIA IUFRO 2023 AMÉRICA LATINA, 2023, Curitiba. Anais... Colombo: Embrapa Florestas, 2023. p. 180. (Embrapa Florestas. Eventos técnicos & científicos, 2).| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 35. | | BATALHA, S. S. A.; GASPARETTO, D.; MARTORANO, L. G.; BICHARA, C. N. C. Análise espaço temporal do índice parasitário anual em área de assentamento da reforma agrária nos municípios limítrofes da Floresta Nacional do Tapajós, Estado do Pará - Brasil. In: SIMPÓSIO DE ESTUDOS E PESQUISAS EM CIÊNCIAS AMBIENTAIS NA AMAZÔNIA, 1., 2012, Belém, PA. Anais: resumos dos trabalhos aprovados. [Belém, PA]: Universidade do Estado do Pará, Centro de Ciências Naturais e Tecnologia, 2012. p. 63.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
| |
| 38. | | ARAYA, A.; GIRMA, A.; DEMELASH, T.; MARTORANO, L. G.; HAILESELASSIE, H.; ABRAHA, A. Z. Assessing impacts of climate change on tef (Eragrostis tef) productivity in Debrezeit area, Ethiopia. International Journal of Agricultural Science Research, v. 4, n. 3, p. 039-048, Mar. 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: C - 0 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
|  |
| Registros recuperados : 351 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
