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Registro Completo |
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Biblioteca(s): |
Embrapa Soja; Embrapa Unidades Centrais. |
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Data corrente: |
14/05/2020 |
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Data da última atualização: |
28/01/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, M. B. R.; LEITE, R. S.; OLIVEIRA, M. A. de; IDA, E. I. |
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Afiliação: |
Mariah Benine Ramos Silva, Universidade Estadual de Londrina - UEL/Departamento de Ciência e Tecnologia de Alimentos; RODRIGO SANTOS LEITE, CNPSO; MARCELO ALVARES DE OLIVEIRA, CNPSO; Elza Iouko Ida, Universidade Estadual de Londrina - UEL/Departamento de Ciência e Tecnologia de Alimentos. |
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Título: |
Germination conditions influence the physical characteristics, isoflavones, and vitamin C of soybean sprouts. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 55, e01409, 2020. |
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DOI: |
10.1590/s1678-3921.pab2020.v55.01409 |
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Idioma: |
Inglês |
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Notas: |
Título em português: Condições de germinação influenciam as características físicas, isoflavonas e vitamina C de brotos de soja. |
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Conteúdo: |
The objective of this work was to evaluate the effects of the germination conditions of 'BRS 216' soybean (Glycine max) on the length, yield, and isoflavone contents of sprouts. A 23 factorial arrangement was used to evaluate the variables soaking time, irrigation frequency, and germination time. Sprouts that showed better length and yield and higher isoflavone contents were evaluated for their chemical composition and vitamin C content. Soaking and germination time of soybean showed a positive and significant linear effect on sprout length. However, only germination time showed a significant positive linear effect on yield, and a significant negative linear effect on the content of malonylglycosides, aglycones, and total isoflavones. Soybean germination conditions were established at 6 hours of soaking, three days of germination, and 8 hours of irrigation frequency. Under these conditions, the obtained sprouts show a more preserved chemical composition, besides higher contents of β-glycosides, malonylglycosides, aglycones, total isoflavones, and vitamin C than the nongerminated soybean. Under suitable germination conditions, it is possible to produce soybean sprouts with better physical characteristics, higher yield, and higher contents of isoflavones, aglycones, and vitamin C. |
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Palavras-Chave: |
Ácido ascórbico; Agliconas; Aglycones; Composição aproximada. |
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Thesagro: |
Glycine Max; Maceração. |
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Thesaurus Nal: |
Ascorbic acid; Proximate composition; Soaking. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/213021/1/Germination-conditions-influence-the-physical.pdf
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Marc: |
LEADER 02293naa a2200289 a 4500
001 2129634
005 2021-01-28
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1590/s1678-3921.pab2020.v55.01409$2DOI
100 1 $aSILVA, M. B. R.
245 $aGermination conditions influence the physical characteristics, isoflavones, and vitamin C of soybean sprouts.$h[electronic resource]
260 $c2020
500 $aTítulo em português: Condições de germinação influenciam as características físicas, isoflavonas e vitamina C de brotos de soja.
520 $aThe objective of this work was to evaluate the effects of the germination conditions of 'BRS 216' soybean (Glycine max) on the length, yield, and isoflavone contents of sprouts. A 23 factorial arrangement was used to evaluate the variables soaking time, irrigation frequency, and germination time. Sprouts that showed better length and yield and higher isoflavone contents were evaluated for their chemical composition and vitamin C content. Soaking and germination time of soybean showed a positive and significant linear effect on sprout length. However, only germination time showed a significant positive linear effect on yield, and a significant negative linear effect on the content of malonylglycosides, aglycones, and total isoflavones. Soybean germination conditions were established at 6 hours of soaking, three days of germination, and 8 hours of irrigation frequency. Under these conditions, the obtained sprouts show a more preserved chemical composition, besides higher contents of β-glycosides, malonylglycosides, aglycones, total isoflavones, and vitamin C than the nongerminated soybean. Under suitable germination conditions, it is possible to produce soybean sprouts with better physical characteristics, higher yield, and higher contents of isoflavones, aglycones, and vitamin C.
650 $aAscorbic acid
650 $aProximate composition
650 $aSoaking
650 $aGlycine Max
650 $aMaceração
653 $aÁcido ascórbico
653 $aAgliconas
653 $aAglycones
653 $aComposição aproximada
700 1 $aLEITE, R. S.
700 1 $aOLIVEIRA, M. A. de
700 1 $aIDA, E. I.
773 $tPesquisa Agropecuária Brasileira$gv. 55, e01409, 2020.
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Registro original: |
Embrapa Soja (CNPSO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
03/01/2023 |
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Data da última atualização: |
03/01/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
BARMPOUTIS, P.; STATHAKI, T.; LLOYD, J.; MOURA, M. S. B. de. |
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Afiliação: |
PANAGIOTIS BARMPOUTIS, Imperial College London, UK; TANIA STATHAKI, Imperial College London, UK; JONATHAN LLOYD, Imperial College London, UK; MAGNA SOELMA BESERRA DE MOURA, CPATSA. |
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Título: |
Tropical tree species 3D modelling and classification based on LiDAR technology. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INFORMATION RESOURCES MANAGEMENT ASSOCIATION. Research anthology on ecosystem conservation and preserving biodiversity. Pensilvânia: IGI Global: Engineering Science Reference, 2022. |
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Páginas: |
cap. 17, p. 326-346. |
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DOI: |
10.4018/978-1-6684-5678-1.ch017 |
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Idioma: |
Inglês |
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Conteúdo: |
Over the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlap- ping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees. |
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Palavras-Chave: |
Árvores tropicais; Tecnologia de detecção LiDAR; Uso Sustentável. |
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Thesagro: |
Biodiversidade; Caatinga; Desenvolvimento Sustentável; Ecologia; Floresta; Inventário Florestal. |
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Thesaurus NAL: |
Forestry; Natural resources; Natural resources conservation; Sustainable development. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02252naa a2200337 a 4500
001 2150588
005 2023-01-03
008 2022 bl uuuu u00u1 u #d
024 7 $a10.4018/978-1-6684-5678-1.ch017$2DOI
100 1 $aBARMPOUTIS, P.
245 $aTropical tree species 3D modelling and classification based on LiDAR technology.$h[electronic resource]
260 $c2022
300 $acap. 17, p. 326-346.
520 $aOver the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlap- ping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees.
650 $aForestry
650 $aNatural resources
650 $aNatural resources conservation
650 $aSustainable development
650 $aBiodiversidade
650 $aCaatinga
650 $aDesenvolvimento Sustentável
650 $aEcologia
650 $aFloresta
650 $aInventário Florestal
653 $aÁrvores tropicais
653 $aTecnologia de detecção LiDAR
653 $aUso Sustentável
700 1 $aSTATHAKI, T.
700 1 $aLLOYD, J.
700 1 $aMOURA, M. S. B. de
773 $tIn: INFORMATION RESOURCES MANAGEMENT ASSOCIATION. Research anthology on ecosystem conservation and preserving biodiversity. Pensilvânia: IGI Global: Engineering Science Reference, 2022.
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Embrapa Semiárido (CPATSA) |
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