To investigate the effect of chemical mutagens: sodium azide (SA), hydrazine hydrate (HZ) and maleic hydrazine (MH) on morphological variations of faba bean traits. Seeds were soaked in distilled water for six hours, then in different concentrations of the above mentioned mutagens (0.01, 0.03, 0.05%) represented by (C1,C2 and C3 respectively) for six hours and planted in the field in winter 2013-2014. Factorial Experiment was arranged in Randomized Complete Block Design (RCBD) with three replications to each treatment. The results of statistical analysis showed significant differences among studied treatments. All mutagens showed significant reduction in plan height and number of branches per plant compared with control plants which gave the highest plant height and number of branches per plant (117.55cm and 13.73 respectively). SA gave a significant decrement in plant height (103.95cm). HZ gave the longest day for 50% flowering (80.78 days), a significant increase in leaf area index (4.10), chlorophyll content (43.50) have been achieved. MH caused an earliness in flowering of treated plants (79.22days). C3 was superior in the leaf area index (4.07), chlorophyll content (44.79) and earliness in flowering (78.78 days), while C1 gave a longer period of 50% flowering ( 80.89 days). Significant differences also observed in the interaction between mutagens and concentrations. (MHXC3) gave a less period to 50% flowering (77 days) and showed superiority in leaf area index (5.07) and number of branches per plant (14.79). HZ x C1 mean while an increment in number of days to50% flowering (82.66 days) but HZ x C2 gave highest plant height resulted in reached (121.18cm), while (SAxC2) treatment yielded in lowest plant height (96.49) cm and (SAxC3) gave maximum chlorophyll content (47.93).
Effect of Chemical Mutagens on Some Morphological Traits of Vicia faba L. Cv. Aqadulce
Vicia faba L.
mutagen
hydrazine hydrate
sodium azide and maleic hydrazine
morphological traits
Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
Exponentiated Weibull Distribution (EWD)
Reliability of multi-component Stress – Strength models R(s
k)
Maximum likelihood estimator (MLE)
Moment estimator (MOM)
shrinkage method (Sh)
Least Squares Estimator (LS)
Rank Set Sampling (RSS). and mean squared error (MSE).
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
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Publication Date
Sat Oct 01 2016
Journal Name
Journal Of Theoretical And Applied Information Technology
Factors affecting global virtual teams’ performance in software projects
Today the trend is to perform software development work via distributed geographical area among team
individual or even as an organization. However
due to the global market and international presence of many companies
there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space
time and organizational boundaries via information and communication technologies. A global virtual team relies on communication
collaboration
and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study
we investigated factors that affect global virtual teams’ performance
factors considered include cultural differences
language problems
time-zone differences
team size
technical problems
lack of trust
lack of sufficient training
and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand
team size is the lowest level of effect on global virtual teams’ performance. © 2005 - 2016 JATIT & LLS. All rights reserved.
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