Field trial was conducted in Research Field equipped with rainfall transparent
shade, Biology Department, College of Science, Baghdad University during the
growing season of 2012 to test the potential of sorghum water extract in improving
yield and yield components of local cultivar of mung bean crop grown under
different moisture deficit stresses. The water stresses were applied by irrigated the
plots to field capacity and withheld the next irrigation until the soil water deficit
reaches 80, 50 and 30% of field capacity for control, mild water stress and higher
water stress, respectively. Foliar application of sorghum water extract at 0 ( control),
2.5 and 5% (W/V) was made at preflowering, flowering and fruiting stages. The
experiment was conducted in split plot design with four replications for each
treatment. The sorghum water extract rates were kept in the sub plot while moisture
deficits were assigned as main plot.
Results showed that drought stress significantly reduced the averages seed
yield , dry matter accumulation, number of pods per plant, number of seeds per pod
and plant height. Foliar applications of sorghum extracts significantly increased
seeds yield, dry weight biomass, number of seeds per pod and plant height. The
interaction of drought stress and sorghum water extract treatment significantly
affected seed yield , dry matter accumulation, number of pods per plant, total
chlorophyll content and plant height. Application of sorghum water extract under
severe moisture deficit stress (i.e., 70% field capacity) increased seed yield, dry
weight biomass and plant height , number of pods per plant, number of seeds per
pod by 37.8%, 48.9%,64.3%,8.7% and 5.1%, of control, respectively compared the
reduction achieved by the sever moisture deficit applied alone which was 58.50% ,
56.06% , 57.17% , 48.05% and 14.78 % of control for the aforementioned
parameters respectively.
Chlorophyll content was found to be increased by effected by application of
sorghum extracts at control moisture treatment. Proline content of leaves was
significantly increased by high drought stress when water extract applied alone.
However, such differences disappeared when sorghum extract was applied,
suggesting another mechanisms could be responsible for the stimulatory effect of
sorghum extract under drought stress.
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In this paper we study and design two feed forward neural networks. The first approach uses radial basis function network and second approach uses wavelet basis function network to approximate the mapping from the input to the output space. The trained networks are then used in an conjugate gradient algorithm to estimate the output. These neural networks are then applied to solve differential equation. Results of applying these algorithms to several examples are presented
Perennial biofuel and cover crops systems are important for enhancing soil health and can provide numerous soil, agricultural, and environmental benefits. The study objective was to investigate the effects of cover crops and biofuel crops on soil hydraulic properties relative to traditional management for claypan soils. The study site included selected management practices: cover crop (CC) and no cover crop (NC) with corn/soybean rotation, switchgrass (SW), and miscanthus (MI). The CC mixture consisted of cereal rye, hairy vetch, and Austrian winter pea. The research site was located at Bradford Research Center in Missouri, USA, and was implemented on a Mexico silt loam. Intact soil cores (76‐mm diam. by 76‐mm long) were taken from the
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In the field of data security, the critical challenge of preserving sensitive information during its transmission through public channels takes centre stage. Steganography, a method employed to conceal data within various carrier objects such as text, can be proposed to address these security challenges. Text, owing to its extensive usage and constrained bandwidth, stands out as an optimal medium for this purpose. Despite the richness of the Arabic language in its linguistic features, only a small number of studies have explored Arabic text steganography. Arabic text, characterized by its distinctive script and linguistic features, has gained notable attention as a promising domain for steganographic ventures. Arabic text steganography harn
... Show MoreThis study was conducted to investigate activity and some kinetic
and thermodynamic parameters of adenosine deaminnse (ADA)in
serum in patient affected with P-thalassaemia and compared with that of healthy individuals .Serum AD levels were found to be significantly higher in patient with P-thalassaemia (98±9.15 IU/L) than in healthy individuals (22± 2.04 IUIL)the study was carried in optimum pH value 6.5 and 37c by which the enzyme possess highest activity .The study was concentrated to comprehensive determina
... Show MoreThis paper deals with the subjective reflections of consumer values on fashion design. The consumer self is determined by the consumer's idea of himself, according to the intellectual, spiritual and social values, and these values take their intellectual reflection in the form of material values that the consumer finds in fashion design. These values are based on considerations between what is intellectual represented by the values of the consumer, and what is material determined by the fashion design, which also proceed from values that are visible or implied in costume design, such as the function, beauty and symbol. The consumer self gets its material image represented in the
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Text categorization refers to the process of grouping text or documents into classes or categories according to their content. Text categorization process consists of three phases which are: preprocessing, feature extraction and classification. In comparison to the English language, just few studies have been done to categorize and classify the Arabic language. For a variety of applications, such as text classification and clustering, Arabic text representation is a difficult task because Arabic language is noted for its richness, diversity, and complicated morphology. This paper presents a comprehensive analysis and a comparison for researchers in the last five years based on the dataset, year, algorithms and the accu
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This work implements an Electroencephalogram (EEG) signal classifier. The implemented method uses Orthogonal Polynomials (OP) to convert the EEG signal samples to moments. A Sparse Filter (SF) reduces the number of converted moments to increase the classification accuracy. A Support Vector Machine (SVM) is used to classify the reduced moments between two classes. The proposed method’s performance is tested and compared with two methods by using two datasets. The datasets are divided into 80% for training and 20% for testing, with 5 -fold used for cross-validation. The results show that this method overcomes the accuracy of other methods. The proposed method’s best accuracy is 95.6% and 99.5%, respectively. Finally, from the results, it
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The massive distribution and development in the digital images field with friendly software, that leads to produce unauthorized use. Therefore the digital watermarking as image authentication has been developed for those issues. In this paper, we presented a method depending on the embedding stage and extraction stag. Our development is made by combining Discrete Wavelet Transform (DWT) with Discrete Cosine Transform (DCT) depending on the fact that combined the two transforms will reduce the drawbacks that appears during the recovered watermark or the watermarked image quality of each other, that results in effective rounding method, this is achieved by changing the wavelets coefficients of selected DWT sub bands (HL or HH), followed by
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