Population means and correlation analyses of growth parameters in lisianthus (Eustoma grandiflorum Shinn.)

Euphytica ◽  
1994 ◽  
Vol 78 (3) ◽  
pp. 193-197 ◽  
Author(s):  
R. Ecker ◽  
A. Barzilay ◽  
E. Osherenko
Keyword(s):  
Growth Parameters ◽  
Eustoma Grandiflorum ◽  
Population Means ◽  
Correlation Analyses ◽  
Eustoma Grandiflorum Shinn

CROP RESPONSE OF LISIANTHUS (EUSTOMA GRANDIFLORUM SHINN.) HYBRIDS GROWN IN SOILLESS CULTURE

2009 ◽  
pp. 559-564
Author(s):  
G. Fascella ◽  
S. Agnello ◽  
F. Delmonte ◽  
B. Sciortino ◽  
G. Giardina
Keyword(s):  
Soilless Culture ◽  
Crop Response ◽  
Eustoma Grandiflorum ◽  
Eustoma Grandiflorum Shinn

Overexpression of a peroxiredoxin Q gene, SsPrxQ, in Eustoma grandiflorum Shinn enhances its tolerance to salt and high light intensity

2013 ◽  
Vol 33 (3) ◽  
pp. 657-667 ◽  
Author(s):  
Chunfeng Guan ◽  
Xingwang Liu ◽  
Xinyu Song ◽  
Gang Wang ◽  
Jing Ji ◽  
...  
Keyword(s):  
Light Intensity ◽  
High Light Intensity ◽  
High Light ◽  
Eustoma Grandiflorum ◽  
Q Gene ◽  
Eustoma Grandiflorum Shinn

Overexpression of AtchyB in Eustoma grandiflorum Shinn Enhances its Tolerance to High-Light Via Zeaxanthin Accumulation

2012 ◽  
Vol 30 (6) ◽  
pp. 1433-1443 ◽  
Author(s):  
Weidang Wu ◽  
Jing Ji ◽  
Gang Wang ◽  
Qing Zhao ◽  
Chao Jin ◽  
...  
Keyword(s):  
High Light ◽  
Eustoma Grandiflorum ◽  
Eustoma Grandiflorum Shinn

A computerized system for storage and statistical analysis of clinical amino acid data.

1976 ◽  
Vol 22 (1) ◽  
pp. 19-24
Author(s):  
D M Schoengold ◽  
D J Miner ◽  
R H deFiore ◽  
P B Hamilton
Keyword(s):  
Statistical Analysis ◽  
Amino Acid ◽  
Computer Programs ◽  
Clinical Environment ◽  
Population Means ◽  
Amino Acid Data ◽  
Population Correlation ◽  
Correlation Analyses ◽  
Core Storage ◽  
Computerized System

Abstract We have developed a system of computer programs to expedite analyses of amino acid data obtained in a clinical environment. The system contains a program for building and maintaining libraries of chromatogram data, and a program for retrieval of data on the basis of any of its associated biographical characteristics. Several programs have been written that work with data drawn from the libraries. They provide for easy presentation, manipulation, or statistical analysis of the data. Included are comparison of population means and variances and intra-population correlation analyses. A minicomputer that has 12K of core storage is adequate for use with the system.

scholarly journals Callus culture and micropropagation of Eustoma grandiflorum Shinn.

2014 ◽  
Vol 57 (4) ◽  
pp. 423-430 ◽  
Author(s):  
Lutosława Skrzypczak ◽  
Maria Wesołowska ◽  
Barbara Thiem
Keyword(s):  
North America ◽  
Medicinal Plant ◽  
Callus Culture ◽  
Embryo Culture ◽  
Callus Tissue ◽  
Eustoma Grandiflorum ◽  
Regenerated Plants ◽  
Short Time ◽  
Eustoma Grandiflorum Shinn

Regenerated plants and callus tissue were obtained by embryo culture and micropropagation of explants from shoots and leaves of <em>Eustoma grandiflorum</em> Shinn. (<em>Gentianaceae</em>), a medicinal plant. This species, which does not naturally occur in this country, but is found in the southwestern regions of North America, can be propagated in vitro in a relatively short time. Regenerated plants were obtained in amounts enabling extensive phytochemical analyses to be conducted.

Studies of Ge/Si(100) and Observation of Atomic Steps on Si(100) using Biassed Secondary Electron Imaging in a UHV STEM

1990 ◽  
Vol 48 (1) ◽  
pp. 308-309
Author(s):  
Mohan Krishnamurthy ◽  
Jeff S. Drucker ◽  
John A. Venablest
Keyword(s):  
Secondary Electron ◽  
Critical Thickness ◽  
Surface Defects ◽  
Film Growth ◽  
Growth Parameters ◽  
High Vacuum ◽  
Ultra High Vacuum ◽  
Surface Steps ◽  
Epitaxial Crystal Growth ◽  
Electron Imaging

Secondary Electron Imaging (SEI) has become a useful mode of studying surfaces in SEM[1] and STEM[2,3] instruments. Samples have been biassed (b-SEI) to provide increased sensitivity to topographic and thin film deposits in ultra high vacuum (UHV)-SEM[1,4]; but this has not generally been done in previous STEM studies. The recently developed UHV-STEM ( codenamed MIDAS) at ASU has efficient collection of secondary electrons using a 'parallelizer' and full sample preparation system[5]. Here we report in-situ deposition and annealing studies on the Ge/Si(100) epitaxial system, and the observation of surface steps on vicinal Si(100) using b-SEI under UHV conditions in MIDAS.Epitaxial crystal growth has previously been studied using SEM and SAM based experiments [4]. The influence of surface defects such as steps on epitaxial growth requires study with high spatial resolution, which we report for the Ge/Si(100) system. Ge grows on Si(100) in the Stranski-Krastonov growth mode wherein it forms pseudomorphic layers for the first 3-4 ML (critical thickness) and beyond which it clusters into islands[6]. In the present experiment, Ge was deposited onto clean Si(100) substrates misoriented 1° and 5° toward <110>. This was done using a mini MBE Knudsen cell at base pressure ~ 5×10-11 mbar and at typical rates of 0.1ML/min (1ML =0.14nm). Depositions just above the critical thickness were done for substrates kept at room temperature, 375°C and 525°C. The R T deposits were annealed at 375°C and 525°C for various times. Detailed studies were done of the initial stages of clustering into very fine (∼1nm) Ge islands and their subsequent coarsening and facetting with longer anneals. From the particle size distributions as a function of time and temperature, useful film growth parameters have been obtained. Fig. 1 shows a b-SE image of Ge island size distribution for a R T deposit and anneal at 525°C. Fig.2(a) shows the distribution for a deposition at 375°C and Fig.2(b) shows at a higher magnification a large facetted island of Ge. Fig.3 shows a distribution of very fine islands from a 525°C deposition. A strong contrast is obtained from these islands which are at most a few ML thick and mottled structure can be seen in the background between the islands, especially in Fig.2(a) and Fig.3.

Evaluation of Azadirachtin on Arthrospira plantensis Gomont growth parameters and antioxidant enzymes

2020 ◽  
Vol 56 ◽  
pp. 8
Author(s):  
Hatice Tunca ◽  
Ali Doğru ◽  
Feray Köçkar ◽  
Burçin Önem ◽  
Tuğba Ongun Sevindik
Keyword(s):  
Enzyme Activity ◽  
Growth Parameters ◽  
Arthrospira Platensis ◽  
Proline Content ◽  
Enzyme Analysis ◽  
Free Proline ◽  
Sod Activity ◽  
Pesticide Pollution ◽  
Antioxidant Parameters ◽  
Mda Content

Azadirachtin (Aza) used as insecticide due to inhibiting growth of insects and preventing them from feeding on plants. To understand the effects of contamination of this insecticide on phototrophs, and to determine the responses of these organisms against these insecticides are extremely important in understanding how the ecosystem is affected. In this study, chlorophyll-a amount, OD 560 and antioxidant parameters (total SOD, APX, GR, Proline, MDA and H2O2) were determined in order to understand the effect of Aza on Arthrospira platensis Gomont. Aza was applied between 0–20 μg mL−1 concentrations for 7 days in the study. Enzyme analysis was conducted at the end of the 7th day. There was a statistically significant decrease in the absorbance of OD560 and the chlorophyll-a content in A. platensis cultures exposed to the Aza (0–20 μg mL−1) during 7 days due to the increase in pesticide levels. SOD activity decreased at 8, 16 and 20 μg mL−1 concentrations; GR enzyme activity showed a significant decrease compared to the control at a concentration of 20 μg mL−1. APX activity did not change significantly compared to control. The MDA content increased significantly at 16 and 20 μg mL−1 concentrations. The H2O2 content significantly increased at 12, 16 and 20 μg mL−1 concentrations (p < 0.05) while the free proline content decreased at 4 μg mL−1 concentration (p < 0.05). As a result, regarding the Aza concentrations used in this study may be a step to prevent pesticide pollution in the environment.

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