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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: |
LEADER 02229naa a2200349 a 4500
001 2046119
005 2017-11-03
008 2016 bl uuuu u00u1 u #d
022 $a0981-9428
024 7 $a10.1016/j.plaphy.2016.05.017$2DOI
100 1 $aSILVA, L. R. C.
245 $aApplication of self-organising maps towards segmentation of soybean samples by determination of amino acids concentration.$h[electronic resource]
260 $c2016
520 $aSoybeans 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.
650 $aFood technology
650 $aHuman nutrition
650 $aNeural networks
650 $aNutrition research
650 $aSoybeans
650 $aNutrição humana
650 $aSoja
650 $aTecnologia de alimento
653 $aTopologic map
653 $aWeight map
700 1 $aANGILELLI, K. G.
700 1 $aCREMASCO, H.
700 1 $aROMAGNOLI, E. S.
700 1 $aGALÃO, O. F.
700 1 $aBORSATO, D.
700 1 $aMORAES, L. A. C.
700 1 $aMANDARINO, J. M. G.
773 $tPlant Physiology and Biochemistry$gv. 106, p. 264-268, 2016.
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Registro original: |
Embrapa Soja (CNPSO) |
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