Probiotics refer to the microorganisms that exhibit a beneficial effect on the animals’ health through intestinal microbial balance. This investigation intends to identify and define the probiotic characteristics of Lactobacillus strains isolated from the digestive systems of ruminants. Bacterial strains were isolated purified and characterized based on morphological and biochemical characteristics. The isolates were identified using the 16S rRNA gene partial sequencing method. Most of the strains exhibited a decrease in the growth by increasing the concentration of the bile salt, NaCl, increasing the temperature over 37˚C, and moving toward neutrality and alkalinity of the media. Strain Lactobacillus farraginis MD_A11 revealed the lowest de-crease in the growth percentage when subjected to different bile salt concentrations of 5.96, 6.61, 6.85, 7.40, 7.53, and 7.64%, NaCl% concentrations of 1.40, 5.62, 6.48, 7.36, 7.39, 7.41, 7.42, 7.28, and 13.76%, raising the temperature over 37oC being 4.19 & 3.945%, different pH levels as compared to control, and it recorded the lowest medium pH after the third day being 4.20 with titrable acidity of 0.32%. Strain Lactobacillus farraginis MD_A11 could be recommended as a probiotic feed additive for ruminants to improve their growth performance and productivity.

Three years old uniform vines for cv. "Melody syn. Blagratwo" seedless table grape were selected, and three levels of bud load were trimmed, namely 60, 72, and 78 buds/ vine. The findings revealed that vegetative growth traits, characteristics of yield and bunch quality were significantly affected by all different pruning levels of cane length in both seasons of this study. Highest bud load vines (78 buds/vine) produced the greatest yield and cluster number but had a negative effect on the percentage of bud behavior, shoot thickness, shoot length, weight of annual pruning (Kg/vine), cluster and berry quality parameters. In contrast, lowest vine bud load (78 buds/vine) had a better bud behavior, vegetative growth traits, cluster characteristics and berry characteristics but both bunch numbers and yield were reduced. In addition, vines pruned with bud load of 72 buds per vine significantly showed the best outcomes, since it successfully struck a balance be-tween features of vegetative growth, yield, cluster and berry physical and quality attributes in both seasons.

Machine learning models, Artificial neural network, Tillage performance, Energy needs, draught Tillage as one of the agricultural practices consumes the largest amount of energy, which reflects on the total production cost. The artificial neural network (ANN) technique was utilized in the current study to optimize the performance of the tillage process. The ANN-modeled multilayer perceptron network with a backpropagation learning algorithm and momentum term was used by the PYTHON program. The ANN inputs were the implement type, soil texture, moisture, bulk density, width, speed, and depth. The draught was the output (kN). Five layers composed the ANN model's optimal configuration (13-64-16-4-1). The linear and rectified linear units (ReLU) functions were utilized with hidden layers and the output layer, respectively. Momentum term and learning rate were 0.00003 and 0.9 respectively. The iteration number was 1000 epochs and stopped at 290 epochs. The coefficient of determination in the test datasets was high (0.92) while the difference between actual and predicted output was low (2.08). Bulk density and depth were the main determinants of the draft. The evaluation of the developed model for chisel, moldboard, and disk plow gave satisfactory results of 0.985, 0.924, and 0.917. In comparison to the ANNs, the regression model's correlation coefficient for predicting draught force was the lowest (0.373).

Ephedra is the most widely and largest widespread genus in the Gnetopsida, a subgroup of the gymnosperms. This research was done to find out how gamma radiation affected the in vitro growth of callus and suspension cultures. In addition, the effect of gamma rays (γ-rays) on the ephedrine and pseudoephedrine concentrations was evaluated through HPLC analysis. The cell suspension and callus cultures were formed on Murashige and Skoog's basal medium (MS) supplemented with 0.5 mg/l kinetin (Kn), and 3 mg/l of 2, 4-dichlorophenoxy acetic acid (2,4-D) and exposed to variable gamma radiation doses (0, 5, 10, 15, 20, 25 and 30 Gray). Highly significant differences in both fresh and dry callus weights were recorded due to the effect of gamma rays (γ-rays). The findings demonstrated that in the cell suspension and callus cultures, 15 Gray achieved the highest fresh and dry weights when compared to the control. Similarly, the highest concentrations of ephedrine and pseudoephedrine were found in suspension and callus cultures compared to control at 15 Gray.

Heat exchanger optimization is a very efficient thermal design inquiry. The goal of the research is to determine an optimal channel flow velocity as well as an optimal total plate number based on overall information on the effectiveness of employing chilled water to cool soybean milk. Heat transfer coefficient, Prandtl number, Reynolds number and pressure drop measurements were applied for milk and water. The rheological properties of soybean milk have been investigated at various temperatures (5, 10, 30, 50, 70 and 90 °C). The operational circumstances of PHE in soybean procedures were investigated at different numbers of plates, flow rates and flow velocities. Based on the present study, total substances showed non-Newtonian pseudoplastic conduct in any respect at any temperature and the power law model has a decent correlation. The cost estimation of the plate heat exchanger was observed at the lowest flow velocity of (2.25) m/s and number of plates is 17.

Congo red (CR) is an anionic dye that is released from various industries and demonstrates a negative effect on the environment and human health. Dye`s elimination from the environment is an important challenge; therefore, the aim of this study was the application of unhydrolyzed sugarcane bagasse wastes, after acid hydrolysis, drying, grinding and including cellulose acetate to form different composite sheets. The composite sheets were applied in the 3Rs (Removal of Congo red using the composite sheet, Recover of the Congo red after removal using ethanol, and Reuse of the composite sheet many times) processes. The Congo red removal efficiency by the composite sheets was optimized using two statistical methods, One Factor at A Time (OFAT) and General Factorial Design. Afterward, isotherms models and kinetics studies were investigated; moreover, the reusability was also examined. The results exhibited that, the Congo red removal efficiency of 76.27 % was achieved for 500 ppm of the dye using the composite sheet with a concentration of 7 g/L; at a pH value of 7.0 and a contact time of 240 min. Interestingly, the composite sheets have been applied for 3Rs (Removal, Recovery, Reuse) cycles 5 times.

Livestock plays a significant role in food production, income generation, soil quality, transportation and the overall welfare of communities, especially in developing nations. Sheep and goats are vital sources of food, livelihood and urgent financial needs. Researching livestock practices can help optimize production, enhance productivity, and improve market access, ultimately boosting the economic well-being of developing communities. Research is needed to identify climate-resilient livestock practices, develop drought-resistant breeds, and optimize feed management strategies. By enhancing the resilience of livestock systems, research can help safeguard food security and livelihoods in the face of climate change. Climate change, evidenced by temperature changes and increased extreme weather events, negatively impacts traditional farming systems and livestock production by affecting pastures, feeds, water quality and livestock diseases. Breeds of the Coastal Zone of Western Desert (CZWD)  such as the Barki sheep and goat as well as the Saidi breed in Upper Egypt (UE), have adapted to these harsh conditions and are crucial for smallholders. However, there's an information gap regarding these breeds' productivity in smallholder systems. This study utilizes the Twelve Month Monitoring (12MO) survey to estimate the productivity and demographic parameters of these breeds from 2018 to 2020.

This study examined the macro and trace element contents as well as the cytotoxicity of Laurencia obtusa, Ulva lactuca, and Padina pavonica algae collected from the Mediterranean coast of Egypt (Alexandria coast). The results indicated that the seaweed samples contained high concentrations of Ca, Cl, Mg, K, Na, P and Fe. The Cu and Zn contents of the algae were in the ranges of 0.39-0.95 mg/100 g dw and 0.11-0.49 mg/100 g dw respectively. Fresh red algae contained the highest level of Zn and Cu, whereas the iodine level was 1.52, 1.27 and 1.01 mg/100g in fresh each of Padina pavonica, Laurencia obtuse and Ulva lactuca respectively. Fresh red, fresh green, dry green, dry red, in addition to fresh and dried brown algae had maximum lead (Pb) levels of 0.16, 0.14, 0.13, 0.12, 0.04 and 0.02 g/100 g respectively. Fresh red algae contained the highest Cd and Mn levels, whereas dried brown algae exhibited the lowest Cd and Mn concentrations. Different extracts of fresh and dried brown algae exhibited significant larvicidal activity against brine shrimp. LC50 values indicated that dry samples were more cytotoxic than fresh samples.

The study aimed to evaluate the performance of 15 exotic indeterminate genotypes of tomato (Solanum lycopersicum L.) to determine their suitability for cultivation under greenhouse conditions. The study material was obtained from two globally known gene banks, namely, the Center for Genetic Resources of the Netherlands and the U.S. National Plant Germplasm System (GRIN-Global) of the United States Department of Agriculture. One locally registered hybrid, Asya, was used as the control. The experimental layout was a complete randomized block design with three replications. The data collected were vegetative, flowering, and fruit characteristics as well as the number of fruits and both early and total yield per plant. High significant differences were observed among the exotic genotypes and control for all the studied attributes. The mean control values of fruit weight, firmness and pericarp thickness were significantly high, and several of the exotic genotypes exceeded the control values for vegetative, flowering, and yield characteristics under study. The genotypes coded as G.21 (Allround), G.18 (Alicante), G.6 (Marsol), G.7 (Harzer Kind) and G.3 (Robar) are promising for their overall performance in the total yield per plant and can be recommended for further exploitation to produce hybrids.

The experiments were conducted during seasons (summer, au-tumn, winter, and spring) 2020–2021 to study the activities of invertase, adenosine triphosphatase (ATPase), and alkaline phosphatase (AlkP) as well as the determination of total proteins. These activities were determined in the bodies of adult honeybee worker, Apis mellifera, (house and forager bees) after feeding on three different diet groups (A) pollen cake, (B) supplementary diet and (C) control group during the four seasons. Group (A) received 50 g pollen cake + 250 ml honey syrup (2 honey: 1 water)/colony/three-day intervals, group (B) received 50 g Brewer’s yeast chickpea cake fortified with 4.2% pollen + 250 ml sugar syrup (2 sugar: 1 water) while group (C) received 250 ml sugar syrup (1 sugar: 1 water) only. Results indicated that the highest increase in total proteins was found in group B during the autumn season with house bees. Invertase activity was high in group A during the summer season with forager bees. The highest ATPase activity was observed in group B during the spring season with house bees, whereas the highest AlkP activities were found in group A during the autumn season with house bees.