The research was carried out at Jeb Ramlah Research Station – AlGhab Research Center -
General Authority of Scientific Agricultural Research at 2017 growing season. The
objective was to investigate the effect of three organic and bio fertilizers (B
acillus, Humic
acid and Amino acids) and three fertilization methods (Soaking seeds, Vegetative spraying
and Plant irrigation) in some morphological and production traits of cotton cultivar 124
(Gossypium herutum L.) The experiment was conducted according to RCBD with three
replications. The first factor (fertilizer type) occupied the main plots, while the second
factor (fertilization method) occupied the split plots. Statistical analysis was carried out
using the Genestat.12 software and the least significant difference L.S.D. at 5% level was
calculated. Studied traits included (at the beginning of Blooming stage): Plant Height,
Plant wet weight, Plant dry weight, Leaf area and plant production of cotton. The results
showed that the average of treatment of amino acids was superiority significant on the
others in terms of plant height (70.70cm), Plant wet and dry weight (201.50, and 83.41g),
respectively, Leaf area (4240.15cm2/plant) and plant production of cotton (75.13g). For
fertilization method, Vegetative spraying average was superiority significant on the others
in terms of all studied traits.
The aim of this research was to measure the technical efficiency of cotton farms
with surface irrigation system using Data Envelopment Analysis (DEA) in the field
school in Idleb governorate. Preliminary data was collected based on field surveys,
and random sampling. 34 farms in the villages of Meless and Segar were chosen
for the season 2014.
The research was carried out at Tal Hedya Research Center in Aleppo, General
Commission for Agriculture Scientific Research (GCSAR), Syria, during 2011
and 2012 seasons. Seven genotypes of cotton were used, and complete diallel
hybridization was m
ade to study general and specific combining ability of some
productivity traits (sympodial branch number, actual boll number and seed cotton
yield). General combining ability (GCA) indicated that the parental genotype
Cherpan432 had a high significant GCA for sympodial branch number and actual
boll number, but the parents Aleppo118 and Deir El-Zour22 had the high GCA for
seed cotton yield. This is a clear indication that these parental genotypes had the
largest number of additive genes action, which plays important role in the inheritance
of the above-mentioned traits. The estimation of SCA values showed favorite and
high significant values in many hybrids resulted from parents, which had highly
significant GCA, which means that the gene action type is (additive x additive), and
this refers that these hybrids possessing the largest number of additive genes. High
heritability broad sense refers to importance of genetic variance in the inheritance of
all characters, but heritability in narrow sense values were low in general, indicating
the importance of dominance and epistasis genes in the inheritance. According to
this result it is recommended to follow the cross method for improvement of the
studied traits.
The research was conducted on 25male lambs of Awassi
sheep to compare the effect of using different levels of whole
cotton seeds(WCS). The experiment extended for 70 days,
experimental units were rested, then left for an adaptation period of
10 days, during the adaptation period, the animals were housed in
one pen, in the end of the adaptation period, the lambs were
individually weighed, then divided according to live weight into six
equal groups of an average weights (24-25) kg each.
The research was conducted on 25male lambs of Awassi
sheep to compare the effect of using different levels of whole cotton
seeds (WCS). The experiment extended for 70 days.
The research was carried out during 2014 and 2015 agricutural
season ,To study the effect of spraying cytokinin regulator on
vigitative and fruiting charachterstics cotton plant.
In this research, artificial neural networks, one of the most common branches of artificial
intelligence, were used to evaluate the diameter of the cotton yarn. The necessary data
were collected and practical tests were carried out. Then, an algori
thm for the artificial
neural network was established, which provides the possibility of determining the yarn
diameter from the input variables, represented by the count and twist yarn. Where after
the creation of many networks, one was selected which gave the lowest error rate.
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.
In the past four decades, the woven fabrics has been subject to inordinate
competition which has primarily come from the fashion (short runs),
knitting, and nonwoven segments. The weaving machinery manufacturers answered
the pressure of competitio
n by concentrating on the design of looms that offered relatively
very high speeds. Obviously, to meet the demands of the higher productivity on the loom,
the material characteristics and the quality and efficiency of the preceding processes also
needed to be improved. And this improvement is doing by encapsulate the yarn with size
film before weaving, by the sizing process which considered as the heart of weaving.
this research is aimed to studying the affective factors of sizing, and define the ideal
values of it. This research reffered to the effect of sizing machine speed on yarn size
witting time and then on its coating percent, other side the rollers squeezing pressure of
sizing machine and sizing solution viscosity affect on yarn size coating percent too which
affecting on its resistance toward weaving operation and usage later, because , the success
of sizing process leads to success the following stages like, weaving, finishing, and then,
success in fabric usage.
Bleaching process of cotton fabrics consider an important and
sensitive operations in wet chemical treatments of cotton fabrics,
mercerization is not less important than them and that in cases in which
is made necessary, but from the problems of t
hese processes are long
time and consumption of energy, but the ultrasound energy contribute
to reduce these problems.
