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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
02/06/2016 |
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Data da última atualização: |
03/11/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, L. R. C.; ANGILELLI, K. G.; CREMASCO, H.; ROMAGNOLI, E. S.; GALÃO, O. F.; BORSATO, D.; MORAES, L. A. C.; MANDARINO, J. M. G. |
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Afiliação: |
LÍVIA RAMAZZOTI CHANAN SILVA, UEL; KARINA GOMES ANGILELLI, UEL; HAGATA CREMASCO, UEL; ERICA SIGNORI ROMAGNOLI, UEL; OLÍVIO FERNANDES GALÃO, UEL; DIONISIO BORSATO, UEL; LARISSA ALEXANDRA CARDOSO MORAES, CNPSO; JOSE MARCOS GONTIJO MANDARINO, CNPSO. |
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Título: |
Application of self-organising maps towards segmentation of soybean samples by determination of amino acids concentration. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Plant Physiology and Biochemistry, v. 106, p. 264-268, 2016. |
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ISSN: |
0981-9428 |
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DOI: |
10.1016/j.plaphy.2016.05.017 |
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Idioma: |
Inglês |
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Conteúdo: |
Soybeans are widely used both for human nutrition and animal feed, since they are an important source of protein, and they also provide components such as phytosterols, isoflavones, and amino acids. In this study, were determined the concentrations of the amino acids lysine, histidine, arginine, asparagine, glutamic acid, glycine, alanine, valine, isoleucine, leucine, tyrosine, phenylalanine present in 14 samples of conventional soybeans and 6 transgenic, cultivated in two cities of the state of Paraná, Londrina and Ponta Grossa. The results were tabulated and presented to a self-organising map for segmentation according planting regions and conventional or transgenic varieties. A network with 7000 training epochs and a 10 × 10 topology was used, and it proved appropriate in the segmentation of the samples using the data analysed. The weight maps provided by the network, showed that all the amino acids were important in targeting the samples, especially isoleucine. Three clusters were formed, one with only Ponta Grossa samples (including transgenic (PGT) and common (PGC)), a second group with Londrina transgenic (LT) samples and the third with Londrina common (LC) samples. |
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Palavras-Chave: |
Topologic map; Weight map. |
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Thesagro: |
Nutrição humana; Soja; Tecnologia de alimento. |
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Thesaurus Nal: |
Food technology; Human nutrition; Neural networks; Nutrition research; Soybeans. |
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Categoria do assunto: |
Q Alimentos e Nutrição Humana |
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Marc: |
null
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Registro original: |
Embrapa Soja (CNPSO) |
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