Bran Size Distribution at Milling and Mechanical and Biochemical Characterization of Common Wheat Grain Outer Layers: A Relationship Assessment

2006 ◽  
Vol 83 (6) ◽  
pp. 641-646 ◽  
Author(s):  
V. Greffeuille ◽  
J. Abecassis ◽  
C. Lapierre ◽  
V. Lullien-Pellerin
Keyword(s):  
Size Distribution ◽  
Common Wheat ◽  
Biochemical Characterization ◽  
Wheat Grain ◽  
Relationship Assessment

Biochemical characterization of aspartate aminotransferase allozymes from common wheat

2013 ◽  
Vol 8 (12) ◽  
pp. 1183-1193 ◽  
Author(s):  
Marcin Maciąga ◽  
Michał Szkop ◽  
Andrzej Paszkowski
Keyword(s):  
Common Wheat ◽  
Aspartate Aminotransferase ◽  
Biochemical Characterization ◽  
Gel Filtration ◽  
Catalytic Efficiency ◽  
Amino Acid Sequences ◽  
Molecular Weights ◽  
Sds Page ◽  
Technique Comparison

AbstractSix allozymes of aspartate aminotransferase (AAT, EC 2.6.1.1): three plastidial (AAT-2 zone) and three cytosolic (AAT-3 zone) were isolated from common wheat (Triticum aestivum) seedlings and highly purified by a five-step purification procedure. The identity of the studied proteins was confirmed by mass spectrometry. The molecular weight of AAT allozymes determined by gel filtration was 72.4±3.6 kDa. The molecular weights of plastidial and cytosolic allozymes estimated by SDS-PAGE were 45.3 and 43.7 kDa, respectively. The apparent Michaelis constant (K m) values determined for four substrates appeared to be very similar for each allozyme. The values of the turnover number (k cat) and the k cat/K m ratio calculated for allozymes with L-aspartate as a leading substrate were in the range of 88.5–103.8 s−1/10,412–10,795 s−1 M−1 for AAT-2 zone and 4.6–7.0 s−1/527–700 s−1 M−1 for AAT-3 zone. These results clearly demonstrated much higher catalytic efficiency of AAT-2 allozymes. Therefore, partial sequences of cDNA encoding AATs from different zones were obtained using the RT-PCR technique. Comparison of the AAT-2 and AAT-3 amino acid sequences from active site regions revealed five non-conservative substitutions, which impact on the observed differences in the isozymes catalytic efficiency is discussed.

Plant Pathology Diagnosed by X-Ray Microanalysis

1987 ◽  
Vol 45 ◽  
pp. 974-975
Author(s):  
J. H. Resau ◽  
N. Howell ◽  
S. H. Chang
Keyword(s):  
Electron Microscopy ◽  
Plant Pathology ◽  
Biochemical Characterization ◽  
Nutrient Deficiency ◽  
Green Leaf ◽  
Parasitic Infestation ◽  
X Ray

Spinach grown in Texas developed “yellow spotting” on the peripheral portions of the leaves. The exact cause of the discoloration could not be determined as there was no evidence of viral or parasitic infestation of the plants and biochemical characterization of the plants did not indicate any significant differences between the yellow and green leaf portions of the spinach. The present study was undertaken using electron microscopy (EM) to determine if a micro-nutrient deficiency was the cause for the discoloration.Green leaf spinach was collected from the field and sent by express mail to the EM laboratory. The yellow and equivalent green portions of the leaves were isolated and dried in a Denton evaporator at 10-5 Torr for 24 hrs. The leaf specimens were then examined using a JEOL 100 CX analytical microscope. TEM specimens were prepared according to the methods of Trump et al.

Effect of Protein Content on the Quantity and Size Distribution of Polymeric Protein in Common Wheat

2011 ◽  
Vol 80 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Mikiko Yanaka ◽  
Kanenori Takata ◽  
Tatsuya M. Ikeda ◽  
Naoyuki Ishikawa
Keyword(s):  
Protein Content ◽  
Size Distribution ◽  
Common Wheat

Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

2017 ◽  
Vol 7 (7) ◽  
pp. 8
Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Size Distribution ◽  
Texture Analysis ◽  
Classification Accuracy ◽  
Ct Images ◽  
Diabetic Patients ◽  
Gray Level ◽  
Grey Level ◽  
Run Length ◽  
Interactive Data

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Interaction effect of rootstocks on gas exchange parameters, biochemical changes and nutrientstatus in Sauvignon Blanc winegrapes

2014 ◽  
Vol 3 (3) ◽  
pp. 218-225
Author(s):  
R. G. Somkuwar ◽  
M. A. Bhange ◽  
A. K. Upadhyay ◽  
S. D. Ramteke
Keyword(s):  
Biochemical Characterization ◽  
Reducing Sugar ◽  
Wine Grape ◽  
Gas Exchange Parameters ◽  
Food Material ◽  
Total Carbohydrates ◽  
Salt Creek ◽  
Grape Varieties ◽  
Photosynthetic Activities

SauvignonBlanc wine grape was characterized for their various morphological, physiological and biochemical parameters grafted on different rootstocks. Significant differences were recorded for all the parameters studied. The studies on vegetative parameters revealed that the rootstock influences the vegetative growth thereby increasing the photosynthetic activities of a vine. The highest photosynthesis rate was recorded in 140-Ru grafted vine followed by Fercal whereas the lowest in Salt Creek rootstock grafted vines.The rootstock influenced the changes in biochemical constituents in the grafted vine thereby helping the plant to store enough food material. Significant differences were recorded for total carbohydrates, proteins, total phenols and reducing sugar. The vines grafted on1103-Pshowed highest carbohydrates and starch followed by 140-Ru,while the least amount of carbohydrates were recorded in 110-R and Salt Creek grafted vines respectively.Among the different rootstock graft combinations, Fercal showed highest amount of reducing sugar, proteins and phenols, followed by 1103-P and SO4, however, the lowest amount of reducing sugar, proteins and phenols were recorded with 110-R grafted vines.The vines grafted on different rootstocks showed changes in nutrient uptake. Considering this, the physico-biochemical characterization of grafted vine may help to identify particularrootstocks combination that could influence a desired trait in commercial wine grape varieties after grafting.

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