This experiment was conducted at two ecologically different regions, Boka,
and Gellien, using 3 lines of X.triticosecale Wittmack (372, C.187, and C.G.2)
and 6 cultivars of wheat (5 of them were triticum durum Cham1, Cham3,
Cham5, Bohoth5, and Hau
rani, and one of triticum aestivum Cham6), to assess
the changes in water content and dry matter in the grains during the period
from anthesis to physiological maturity .The results showed that all genotypes
had the same moisture content curves, whereas it had seemed that the two
durum wheat cultivars (Cham1 and Bohoth5) exhibited a disturbance in the
moisture development curves in the first region, and the same observation was
noticed on (Cham1, Cham3, and Cham5) in the second region. However,
triticale lines had a higher test weight of 1000 grain compared with wheat
cultivars in the two regions, and there was a positive relationship between grain
fill duration and the weight of 1000 grain, whereas, there was a depression in
the test weight of wheat cultivars in the second region in comparison with the
first one, but it is associated with an increase of protein percentage, and this
might be attributed to temperature elevation during grain fill stage.
Five improved genotypes of durum wheat (T. turgidum var. durum) (Lahn,
Cham1, Gezira17, Bouhouth 5, and Acsad 65) were planted under the
conditions of the agricultural region (Bouka) of the Faculty of Agriculture-
Tishreen University during the ag
ricultural year 2002-2003, with a split-plot
arrangement to study the effects of flag leaf removal on grain yield and its
components.The genotypes differed significantly in flag leaf area, stomatal
frequency, yield parameters and protein content.
Flag leaf removal significantly reduced plant height, number of spikelets/
spike, number of grains/ spike, 1000 kernels weight and grain yield, while grain
protein content significantly increased.
There was a positive correlation between the flag leaf area and 1000-
kernels weight and grain yield, but protein content was negatively correlated
with grain yield.
Six durum cultivars were compared in relation to germination percentage,
mean germination time, and germination “Catch up” from stress under
different soil moisture contents in the labs. Both soil moisture and cultivars
have shown effects on the s
tudied parameters. Increasing moisture tension had
caused a significant reduction in the germination percentage. The cultivars
differed in their germination. Haurani 27 and Cham3 showed a higher
germination potential and their germination times were shorter than the two
varieties Bohouth 5 and Cham1. The varieties Lahn and Senator Capelli were
intermediate among the other examined cultivars.
This research discusses an economic study of wheat crop in Syria during the
period of forty years (from the sixty to the end of the twentieth century)
regarding the production, domestic supply from wheat for consumption with
calculation an equatio
n to the general regression for development of each of
them. To clarify the food gap positions for wheat and coefficient of selfsufficiency,
consumption per capita from wheat and percentage of its
consumption from durum wheat, the factors affecting consumption with types
of nutritive use of wheat and its forms.
The research was classified to a group of secondary titles. The study starts
with an introduction to identify the World and the Arab status for wheat
consumption. After determining the research objectives, material was
presented and ended up with a conclusion and an abstract.
Triticale is a new crop, its major advantage in farming systems has been as
good forage or grain crop for animal feed. It is possible for its utilization as
dual-purpose crop. In some areas (Mediterranean conditions), it can compete
with tradition
al small grain forage cereals. Nevertheless, the differential
response of its cultivars to the process of clipping indicate the existence of
genetic variation, and the selection process may improve in its utilization as
dual-purpose crop. Where all cultivars studied were better than the substituted
one for identical utilization.
Brain Computer Interface (BCI), especially systems for recognizing brain signals using deep learning after characterizing these signals as EEG (Electroencephalography), is one of the important research topics that arouse the interest of many research
ers currently. Convolutional Neural Nets (CNN) is one of the most important deep learning classifiers used in this recognition process, but the parameters of this classifier have not yet been precisely defined so that it gives the highest recognition rate and the lowest possible training and recognition time.
This research proposes a system for recognizing EEG signals using the CNN network, while studying the effect of changing the parameters of this network on the recognition rate, training time, and recognition time of brain signals, as a result the proposed recognition system was achieved 76.38 % recognition rate, And the reduction of classifier training time (3 seconds) by using Common Spatial Pattern (CSP) in the preprocessing of IV2b dataset, and a recognition rate of 76.533% was reached by adding a layer to the proposed classifier.
