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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria de Alimentos. Para informações adicionais entre em contato com ctaa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
31/08/2017 |
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Data da última atualização: |
12/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MAMEDE, A. M. G. N.; SOARES, A. G.; OLIVEIRA, E. J. de; FARAH, A. |
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Afiliação: |
Alexandra M. G. N. Mamede, UFRJ; ANTONIO GOMES SOARES, CTAA; EDER JORGE DE OLIVEIRA, CNPMF; Adriana Farah, UFRJ. |
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Título: |
Volatile composition of sweet passion fruit (Passiflora alata Curtis). |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Chemistry, p. 1-10, Article ID 3497216, 2017. |
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DOI: |
10.1155/2017/3497216 |
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Idioma: |
Inglês |
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Conteúdo: |
Passiflora alata Curtis (sweet passion fruit) is a native species grown in South America, especially in Brazil. In addition to being aromatic, its pulp is sweeter and less acidic compared to traditional commercial passion fruits, and this makes it highly appreciated for fresh consumption. Its aroma is also very distinct from other passion fruit species but it has not been characterized so far. In the present study, for the first time, the volatile composition of sweet passion fruit was investigated. Two genotypes (BGM004 and BGM163) were evaluated and two SPME fibers were tested. Forty-five volatile compounds were properly identified and semiquantified. The carboxen-polydimethylsiloxane (CAR/PDMS) fiber presented better performance regarding both number and concentration of compounds. Esters and terpenes were the main volatile classes. Methyl butanoate, methyl (E)-2-butenoate, ethyl butanoate, ethyl (E)-2-butenoate, methyl 2-hexenoate, and ethyl-2-hexenoate were among major compounds. As complementary results, sugar content, titratable acidity, pH, and total soluble solids were evaluated |
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Palavras-Chave: |
ACTIVE COMPOUNDS; CULTIVATION SYSTEM; F-FLAVICARPA; FLAVOR CHEMISTRY; Passiflora alata Curtis; TOTAL ANTIOXIDANT ACTIVITY. |
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Thesaurus Nal: |
passion fruits. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01860naa a2200253 a 4500
001 2074789
005 2018-01-12
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1155/2017/3497216$2DOI
100 1 $aMAMEDE, A. M. G. N.
245 $aVolatile composition of sweet passion fruit (Passiflora alata Curtis).$h[electronic resource]
260 $c2017
520 $aPassiflora alata Curtis (sweet passion fruit) is a native species grown in South America, especially in Brazil. In addition to being aromatic, its pulp is sweeter and less acidic compared to traditional commercial passion fruits, and this makes it highly appreciated for fresh consumption. Its aroma is also very distinct from other passion fruit species but it has not been characterized so far. In the present study, for the first time, the volatile composition of sweet passion fruit was investigated. Two genotypes (BGM004 and BGM163) were evaluated and two SPME fibers were tested. Forty-five volatile compounds were properly identified and semiquantified. The carboxen-polydimethylsiloxane (CAR/PDMS) fiber presented better performance regarding both number and concentration of compounds. Esters and terpenes were the main volatile classes. Methyl butanoate, methyl (E)-2-butenoate, ethyl butanoate, ethyl (E)-2-butenoate, methyl 2-hexenoate, and ethyl-2-hexenoate were among major compounds. As complementary results, sugar content, titratable acidity, pH, and total soluble solids were evaluated
650 $apassion fruits
653 $aACTIVE COMPOUNDS
653 $aCULTIVATION SYSTEM
653 $aF-FLAVICARPA
653 $aFLAVOR CHEMISTRY
653 $aPassiflora alata Curtis
653 $aTOTAL ANTIOXIDANT ACTIVITY
700 1 $aSOARES, A. G.
700 1 $aOLIVEIRA, E. J. de
700 1 $aFARAH, A.
773 $tJournal of Chemistry, p. 1-10, Article ID 3497216, 2017.
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
17/04/2023 |
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Data da última atualização: |
17/04/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MORAIS, L. F. de; CAVALCANTE, A. C. R.; AQUINO, D. do N.; CANDIDO, M. J. D. |
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Afiliação: |
LEONARDO FIUSA DE MORAIS, Universidade Federal do Ceará; ANA CLARA RODRIGUES CAVALCANTE, CNPC; DEODATO DO NASCIMENTO AQUINO, INCRA; MAGNO JOSÉ DUARTE CANDIDO, Universidade Federal do Ceará. |
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Título: |
Remote sensing applied to grassland ecosystems in regions with climatic vulnerability. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: OPEN science research VII. Guarujá: Científica Digital, 2022. Cap. 10, p. 150-164. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The aim of this review is to present the concepts and current research on the use of remote sensing in studies of pastoral ecosystems. The management of pasture plays an important role in the balance between biomass production and its regrowth so that the determination of biomass production is fundamental information to perform the adjustment of the number of animals. There are direct and indirect methods to obtain forage biomass in pastures. Generally the most used are direct methods, where there is the cutting of all forage present in a known area frame, and this requires the help of a variety of tools, requiring infrastructure, labor with long-term fieldwork. Remote sensing is an indirect way to determine biomass in pastures, which has a significant potential to monitor vegetation dynamics, besides predicting events such as the beginning or peak of vegetation growth. One of the ways to monitor the vegetation is through the use of vegetation indexes. There are several vegetation indexes, but soil adjusted vegetation index (SAVI) and normalized difference vegetation index (NDVI) are the most used in studies on pastoral ecosystems. Remote sensing used for pasture evaluation can contribute with relevant and complementary information on forage production, as well as the growth behavior of the forage plant, allowing to obtain information on large scales. |
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Palavras-Chave: |
Agricultural disasters; Biophysical modeling; Desastre ambiental; Environmental disasters; Environmental modelling; Fluorescência; Índice espectral; Livestock analysis; Pastoral; Pastoral ecosystem; Spectral vegetation indices. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus NAL: |
Biomass; Brazil; Ecosystems; Forage; Grasslands; Pastures; Remote sensing; Semiarid soils; Silvopastoral systems. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153197/1/CNPC-2023-Remote-sensing.pdf
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Marc: |
LEADER 02592naa a2200409 a 4500
001 2153197
005 2023-04-17
008 2022 bl uuuu u00u1 u #d
100 1 $aMORAIS, L. F. de
245 $aRemote sensing applied to grassland ecosystems in regions with climatic vulnerability.$h[electronic resource]
260 $c2022
520 $aAbstract: The aim of this review is to present the concepts and current research on the use of remote sensing in studies of pastoral ecosystems. The management of pasture plays an important role in the balance between biomass production and its regrowth so that the determination of biomass production is fundamental information to perform the adjustment of the number of animals. There are direct and indirect methods to obtain forage biomass in pastures. Generally the most used are direct methods, where there is the cutting of all forage present in a known area frame, and this requires the help of a variety of tools, requiring infrastructure, labor with long-term fieldwork. Remote sensing is an indirect way to determine biomass in pastures, which has a significant potential to monitor vegetation dynamics, besides predicting events such as the beginning or peak of vegetation growth. One of the ways to monitor the vegetation is through the use of vegetation indexes. There are several vegetation indexes, but soil adjusted vegetation index (SAVI) and normalized difference vegetation index (NDVI) are the most used in studies on pastoral ecosystems. Remote sensing used for pasture evaluation can contribute with relevant and complementary information on forage production, as well as the growth behavior of the forage plant, allowing to obtain information on large scales.
650 $aBiomass
650 $aBrazil
650 $aEcosystems
650 $aForage
650 $aGrasslands
650 $aPastures
650 $aRemote sensing
650 $aSemiarid soils
650 $aSilvopastoral systems
650 $aSensoriamento Remoto
653 $aAgricultural disasters
653 $aBiophysical modeling
653 $aDesastre ambiental
653 $aEnvironmental disasters
653 $aEnvironmental modelling
653 $aFluorescência
653 $aÍndice espectral
653 $aLivestock analysis
653 $aPastoral
653 $aPastoral ecosystem
653 $aSpectral vegetation indices
700 1 $aCAVALCANTE, A. C. R.
700 1 $aAQUINO, D. do N.
700 1 $aCANDIDO, M. J. D.
773 $tIn: OPEN science research VII. Guarujá: Científica Digital, 2022. Cap. 10, p. 150-164.
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Embrapa Caprinos e Ovinos (CNPC) |
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