scholarly journals Effective Identification of Low-Gliadin Wheat Lines by Near Infrared Spectroscopy (NIRS): Implications for the Development and Analysis of Foodstuffs Suitable for Celiac Patients

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0152292 ◽  
Author(s):  
María Dolores García-Molina ◽  
Juan García-Olmo ◽  
Francisco Barro
2019 ◽  
Vol 24 ◽  
pp. 271-277
Author(s):  
I. I. Моtsnyi ◽  
O. O. Molodchenkova ◽  
V. N. Bezlyudnyi ◽  
R. V. Solomonov ◽  
M. P. Kulbida

Aim. The variation of protein content and its relationship to agronomic traits of introgression wheat lines were studied to determine the differentiating ability of environment, a value of breeding traits from new sources and the relevancy of assessment methods. Methods. Growing plants under different conditions was combined with the laboratory methods for determining quality. Results. An average protein content of the lines (9.7–15.5 %) was higher in the wide-row crop and in drouth years, and the range of variation was wider in dry years in the wide-row crop, but in favorable years in the solid crop. A stable positive correlation of protein content with gluten content (0.87–0.96) and sedimentation value (0.58–0.90), and the negative correlation with yield was established. Conclusions. The parameters of plant resistance to diseases and harsh agricultural backgrounds, the determination of protein content by several methods and the differentiating ability of the environments with optimal conditions and a high agricultural background should be used for selection and objective evaluation of material. Weather conditions may limit the use of some indicators as breeding traits. The method of near-infrared spectroscopy requires constant calibrations, following measurement instructions may overestimate the protein content and affect the efficiency of the selection process. Keywords: wheat, introgression lines, protein content, methods.


2008 ◽  
Vol 39 (01) ◽  
Author(s):  
AJ Fallgatter ◽  
AC Ehlis ◽  
MM Richter ◽  
M Schecklmann ◽  
MM Plichta

Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


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