کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8353994 | 1541915 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of self-organising maps towards segmentation of soybean samples by determination of amino acids concentration
ترجمه فارسی عنوان
استفاده از نقشه های سازماندهی خود به تقسیم بندی نمونه های سویا با تعیین غلظت آمینو اسیدها
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کلمات کلیدی
نقشه توپولوژیک، نقشه وزن، شبکه های عصبی مصنوعی، فن آوری تغذیه،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش گیاه شناسی
چکیده انگلیسی
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 10Â ÃÂ 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Plant Physiology and Biochemistry - Volume 106, September 2016, Pages 264-268
Journal: Plant Physiology and Biochemistry - Volume 106, September 2016, Pages 264-268
نویسندگان
LÃvia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Hágata Cremasco, Ãrica Signori Romagnoli, OlÃvio Fernandes Galão, Dionisio Borsato, Larissa Alexandra Cardoso Moraes, José Marcos Gontijo Mandarino,