Nine Syrian cotton genotypes i.e. Aleppo 33/1, Aleppo 118, Aleppo 90, Aleppo 40,
Aleppo 124 Rakka5, Deir Al-Zour 22, Line 106 and Rusafa, were used for statistical
and genetic analysis for productivity and some chemical indicators of seeds:
Lint p
ercentage%, cotton weight per plant/g, percent of oil in seeds and pulp, percent
of protein in seeds and pulp, percent of humidity in seeds and pulp, to explore
the potentiality of the genotypes in the studied region, and to establish a program
for the production of cotton and seeds, also to determine the selective indecies to be
used to improve cotton productivity and seed components, using randomized complete
block design with three replications. The experiment was conducted in Salhab
village, Al-Ghab region, Hama governorate, Syria, during 2015 season.
This study was carried out at Kharabu Station, General Commission for Scientific
Agricultural Research (GCSAR), during the growing seasons 2011 and 2012, to
estimate phenotypic correlation, and path coefficient of some morphological and
green fodd
er yield components (days to flowering, plant height (cm), number
of leaves per plant, number of tillers per plant, and green fodder yield (ton/ha)).
Fifteen pearl millet crosses resulted from half diallel mating system between six
inbred lines. The experiment was arranged in a randomized complete block design
(RCBD), with three replications.
he problem with study of the ways of multiple regression analysis is related to
e to the understanding and the explanation of the complicated relations among
variables which affect the studied phenomenon and the huge amount of the
used data in par
ticular some of this outliers.
In this research we have studied and treated the outliers in case of having two
or more non-significant parameter and we have made anew algorithm to solve
the phenomenon outliers on the one hand and solving the problem of the
significant of multiple regression.
This research aims to investigate the impact of fluctuations in the
exchange rate of the Syrian pound on the general index of the prices
of shares of companies listed in the Damascus Securities Exchange,
and clarify the type of relationship betwee
n these fluctuations and
general share price index,using the linear regression models simple
and multiple, and vector autoregressive (VAR) model of error
correction (VECM) and Granger causality to test the relationship
between the exchange rate and the general share price index in the
Damascus Securities Exchange for the period 2011-2015.
This research includes evaluating the work of maintenance of themachines through
their own key performance indicators (KPI), and approved byindustrial and service
companies, We mention reliability, readiness ,average time between failures, average
Repair time ,average time of periodic maintenance of their production and
serviceequipment.
After the data processing of emergency failures and periodic maintenanceof
machines , we extracted values for maintenance performanceindicators, we measured
their performance and correlation to evaluateits compatibility with global indicators.
The research aim to assess the current situation through the use ofquantitative
methods pattern which is used to access the values of theprevious mentioned performance
indicators and their interdependence tobe used in support of maintenance decisionsin the
container terminal later.
We noticed a strong inverse association between periodic maintenance TPMtime and
breakdown TBD, and reached a value rERS = -0.99, and thereforewe must focus on
increasing periodic maintenance to reduce breakdowntime, and replace parts that cause
recurringproblems which caused about intensive breakdowns, thus reducing
periodicmaintenance time.
Also we were able to classify the quality of maintenance and machinesthrough the
readiness and reliability indicators and the mean timebetween failures.
It was evaluated the susceptibility of 6 lines of maize, and fifteen
maize crosses, against by large corn stem borer, Sesamia cretica Led
under conditions Industrial infection. A study of the correlation
coefficient showed linear relationship of yields by 100- Kernel weight.
The present investigation was conducted during 2010/2011 and 2011/2012
growing seasons at Karahta station for field crops research, General
Commission for Scientific Agricultural Researches (G.C.S.A.R.), Syria. Forty
five hybrids F1 produced using
a half diallel cross among ten bread wheat
(Triticum aestivum L.) genotypes, in 2010/2011 season, were evaluated during
2011/2012 season in order to study som of the genetic parameters for grain
yield per plant, its components, some morphophysiological and quality traits to
determine the basic criteria for selection.
Seven cotton genotypes (Rkka5, Aleppo1-33, Aleppo90 – Aleppo 118,
Aleppo 40, Deir22, and Line124), were used to estimate variance and genetic
and phenotypic correlations between seed cotton productivity and its
components [earliness in flowering a
nd maturity(day), plant height (cm),
number of vegetative and reproductive branches, number of bolls per plant,
100 seed weight (g), average boll weight (g), lint percentage (%), and plant yield
(g)], to be used as selection indices for higher yield performance in breeding
programs. The experiment was carried out in Al-Ghab region (Hama) in 2012-
2013 growing season using randomized complete block design (RCBD) with
three replications.
Seven cotton varieties ( Rakka5, Aleppo133, Aleppo90, Aleppo118 , Aleppo40,
Deir22, Line124) were grown in village Salhab ( Al-Ghab region , Hama) in 2012 using
randomized complete block design with three replications. were used to study estimation
of variance, broad sense heritability, genetic progress and correlation some of their
technological characters (Staple length mm, Length uniformity% , Fiber fineness
%(micronaire), trength Fiber(g/tex), Fiber elongation%, fiber maturity%), that’s to explore
potentials Genotypes in search region and put the numerous selectoral evidence in order to
obtain an additive and fast improve on the technological characters,
The study showed significant differences between in the studied genotypes, for
most of the considered traits.
The study suggested a variation of the values of Heritability, Genetic advance in the
characteristics technological of cotton., the highest Heritability of which was in the Staple
length and than trength Fiber, Fiber elongation , Fiber fineness, fiber maturity, Length
uniformity, characteristics where the inheritance degree reached (0.98, 0.97, 0.89,
0.80,0.75, 0.30) , genetic development% (1.03, 1.35, 0.36, 1.31,1.22, 0.11).
The results also showed a positive significant correlation between Staple length and
trength Fiber (r = 0.901**), also between Fiber elongation with fiber maturity and Length
uniformity ( r = 0.64**, r = 0.422**), and this gives us the area and ease of movement to
put the numerous selectoral evidence in order to improve the technological characters of
cotton.
A half diallel set of crosses among six highly diverse barley (Hordeum
vulgare L.) genotypes were evaluated at Karahta Research Station, General
Commission of Scientific Agricultural Research (GCSAR), during 2010-2011
and 2011-2012 seasons to stud
y heterosis, potence ratio, correlations among
traits and path coefficient analysis for number of spikes per plant, number of
grains per plant, number of grains per spike, biological yield ,and grain yield
per plant. Heterosis effects for seed yield ranged from%-89.52 (T-6669×S-6303)
to%16.99 (Arabi abiad mohsan×S-6689) and from%-49.94 (L-6711×S-6689)
to %-1. 35 (Arabi abiad mohsan×S-6689) relative to mid and better parents
respectively. Potence ratio values ranged from 1.14 (number of spikes per
plant) to 3.50 (biological weight) indicating that non-additive gene action was
more important in controlling all studied traits. Correlation coefficients among
traits indicated that seed yield was positively and significantly associated with
each of number of spikes per plant (0.289), number of grains per plant (0.832),
number of grains per spike (0.587), and biological yield (0.708) traits. Path
coefficient analysis indicated that number of grains per plant trait had high
positive direct effects on grain yield.