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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
02/12/2016 |
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Data da última atualização: |
21/02/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MOURA, N. N.; DUTRA, R. B. C.; SOARES, I. P. |
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Afiliação: |
NAYARA NEIVA MOURA; RODRIGO BASTOS CESARINO DUTRA; ITANIA PINHEIRO SOARES, CNPAE. |
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Título: |
Avaliação da estabilidade oxidativa do B100 com o uso de aditivos comerciais e Extrativos. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 3., 2016, Brasília, DF. Anais ... Brasília, DF: Embrapa, 2016. |
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Páginas: |
p. 196-202. |
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Idioma: |
Português |
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Palavras-Chave: |
Aditivos; ANP; Produção de biodiesel; Rota convencional. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/151153/1/III-EnPI-2016-198-204.pdf
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Marc: |
LEADER 00634nam a2200181 a 4500
001 2057833
005 2017-02-21
008 2016 bl uuuu u00u1 u #d
100 1 $aMOURA, N. N.
245 $aAvaliação da estabilidade oxidativa do B100 com o uso de aditivos comerciais e Extrativos.$h[electronic resource]
260 $aIn: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 3., 2016, Brasília, DF. Anais ... Brasília, DF: Embrapa$c2016
300 $ap. 196-202.
653 $aAditivos
653 $aANP
653 $aProdução de biodiesel
653 $aRota convencional
700 1 $aDUTRA, R. B. C.
700 1 $aSOARES, I. P.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
27/01/2021 |
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Data da última atualização: |
27/01/2021 |
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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: |
RESENDE, R. T.; KUKI, K. N.; CORRÊA, T. R.; ZAIDAN, U. R.; MOTA, P. H. S.; TELLES, L. A. A.; GONZALES, D. G. E.; MOTOIKE, S. Y.; RESENDE, M. D. V. de; LEITE, H. G.; LORENZON, A. S. |
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Afiliação: |
RAFAEL T. RESENDE, UFG; KACILDA N. KUKI, UFV; THAIS ROSELI CORRÊA, UEMA; ÚRSULA R. ZAIDAN, UFV; PEDRO HENRIQUE S. MOTA, UFV; LUCAS ARTHUR A. TELLES, UFV; DUBERLÍ G. E. GONZALES, UNIVERSIDAD CIENTÍFICA DEL SUR; SERGIO Y. MOTOIKE, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; HELIO G. LEITE, UFV; ALEXANDRE S. LORENZON, UFV. |
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Título: |
Data-based agroecological zoning of Acrocomia aculeata: GIS modeling and ecophysiological aspects into a Brazilian representative occurrence area. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Industrial Crops and Products, v. 154, 2020. |
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DOI: |
https://doi.org/10.1016/j.indcrop.2020.112749 |
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Idioma: |
Português |
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Conteúdo: |
Macauba palm (Acrocomia aculeata (Jacq.) Lodd.) is an emergent oleaginous crop with undeniable economical potential that occurs naturally from south Mexico to south Brazil. Besides its oils, every biomass component from its fruit has a great manufacturing value, for either food or energy-based sectors. Thus, this paper main objective is to estimate the productive potential of eight fruit components (among oil content, weight, volume and internal structures dry mass) for a wide natural occurrence area of macauba trees, the Minas Gerais State, in Brazil. Prediction was based on six environmental attributes: terrain altitude; temperature; precipitation; solar radiation; distance from hydrography; and water deficit, utilizing Random Forest regression methodology, Geographic Information Systems (GIS) and ecophysiological assumptions. All eight fruit components presented high predictability. Temperature was the most influencing factor in almost all evaluated fruit components. The generated predictive maps can support decision making regarding planting orientation or industrial implantation. It is worth mentioning that a given location may have good productivity for a specific fruit component while being disadvantageous for others. This indicates the need for proper planning, management and/or cultivation objective. The study area presents a broad variety of environmental features, suggesting a promising productive potential for the entire specie natural occurrence area. Crop cultivation in adapted ecophysiological areas require fewer resources, what leads to a more sustainable agricultural system, with reduced environmental stress and risk of economic loss. MenosMacauba palm (Acrocomia aculeata (Jacq.) Lodd.) is an emergent oleaginous crop with undeniable economical potential that occurs naturally from south Mexico to south Brazil. Besides its oils, every biomass component from its fruit has a great manufacturing value, for either food or energy-based sectors. Thus, this paper main objective is to estimate the productive potential of eight fruit components (among oil content, weight, volume and internal structures dry mass) for a wide natural occurrence area of macauba trees, the Minas Gerais State, in Brazil. Prediction was based on six environmental attributes: terrain altitude; temperature; precipitation; solar radiation; distance from hydrography; and water deficit, utilizing Random Forest regression methodology, Geographic Information Systems (GIS) and ecophysiological assumptions. All eight fruit components presented high predictability. Temperature was the most influencing factor in almost all evaluated fruit components. The generated predictive maps can support decision making regarding planting orientation or industrial implantation. It is worth mentioning that a given location may have good productivity for a specific fruit component while being disadvantageous for others. This indicates the need for proper planning, management and/or cultivation objective. The study area presents a broad variety of environmental features, suggesting a promising productive potential for the entire specie natural occurrence area. Crop culti... Mostrar Tudo |
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Palavras-Chave: |
Inteligência artificial. |
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Thesagro: |
Bioenergia; Fisiologia Vegetal; Indústria Alimentícia; Macaúba; Produção Agrícola. |
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Thesaurus NAL: |
Artificial intelligence; Bioenergy; Plant physiology; Prediction. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02832naa a2200373 a 4500
001 2129622
005 2021-01-27
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.indcrop.2020.112749$2DOI
100 1 $aRESENDE, R. T.
245 $aData-based agroecological zoning of Acrocomia aculeata$bGIS modeling and ecophysiological aspects into a Brazilian representative occurrence area.$h[electronic resource]
260 $c2020
520 $aMacauba palm (Acrocomia aculeata (Jacq.) Lodd.) is an emergent oleaginous crop with undeniable economical potential that occurs naturally from south Mexico to south Brazil. Besides its oils, every biomass component from its fruit has a great manufacturing value, for either food or energy-based sectors. Thus, this paper main objective is to estimate the productive potential of eight fruit components (among oil content, weight, volume and internal structures dry mass) for a wide natural occurrence area of macauba trees, the Minas Gerais State, in Brazil. Prediction was based on six environmental attributes: terrain altitude; temperature; precipitation; solar radiation; distance from hydrography; and water deficit, utilizing Random Forest regression methodology, Geographic Information Systems (GIS) and ecophysiological assumptions. All eight fruit components presented high predictability. Temperature was the most influencing factor in almost all evaluated fruit components. The generated predictive maps can support decision making regarding planting orientation or industrial implantation. It is worth mentioning that a given location may have good productivity for a specific fruit component while being disadvantageous for others. This indicates the need for proper planning, management and/or cultivation objective. The study area presents a broad variety of environmental features, suggesting a promising productive potential for the entire specie natural occurrence area. Crop cultivation in adapted ecophysiological areas require fewer resources, what leads to a more sustainable agricultural system, with reduced environmental stress and risk of economic loss.
650 $aArtificial intelligence
650 $aBioenergy
650 $aPlant physiology
650 $aPrediction
650 $aBioenergia
650 $aFisiologia Vegetal
650 $aIndústria Alimentícia
650 $aMacaúba
650 $aProdução Agrícola
653 $aInteligência artificial
700 1 $aKUKI, K. N.
700 1 $aCORRÊA, T. R.
700 1 $aZAIDAN, U. R.
700 1 $aMOTA, P. H. S.
700 1 $aTELLES, L. A. A.
700 1 $aGONZALES, D. G. E.
700 1 $aMOTOIKE, S. Y.
700 1 $aRESENDE, M. D. V. de
700 1 $aLEITE, H. G.
700 1 $aLORENZON, A. S.
773 $tIndustrial Crops and Products$gv. 154, 2020.
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