A field experiment was carried out in the Field Crops Department at the College of Agricultural Engineering Sciences-University of Baghdad for the autumn season 2023, with the goal of evaluating and performance of various genotypes of maize under different sowing dates, and the study included (MgW16, Nad H965, Nad it 706, Nad it 2525) with four single crosses (2 × 1), (3 × 1), (4 ×1), (3× 2) and four three way crosses (3×2 × 1),(4×2 × 1), (4×3 × 1), (Nad it 25 × 3 × 1) and four synthetic varities (Nad H25 × 3 ×2 ×1), (Baghdad), Al-Ezz and Tigris. The genotypes are planted with three agricultural dates (10, 20 and 30 July) and are compared according to the randomized complete Block design ((RCBD) and three replicates and split plot rearrangement. The sowing dates are placed in the main plots. While the genotypes were placed in sub-plots. The results showed that there are significant differences between the traits of growth under the sowing dates, where the third date (July 30) exceeded in the traits (the number of days of planting to 75% flowering, silking and plant height) where it gave (51.65, 61.77) and (177.43 cm) sequentially. Moreover, the Nad H965 was scored the highest values in the flowering and Biomass about (53.33, 60.11 cm, 1690.13 g) sequentially. However, the single crosss (3× 2) exceeded in plant height, number of leaves, leaf area and Biomass by scored (174.69 cm, 12.78, 8.434 cm and 1540.10 gm per plant. In addition to, the three way –cross ((4× 2)× (1) exceeded in number of leaves and Biological yield (12.82 leaf-1, 1378.00 gm) respectively. While, the synthetic cultivar (Al-Ezz) was exceeded in the plant height, ear height, and number of leave, leaf area and Biomass by scored (280.42 cm, 14.12 leaf, ‘1917.57 gm) respectively. We are concluded to sowing dates the Nad it 2525 under D2 because that is scored the highest rate of dry matter due to the ability of assimilates from source to sink.
The aim of the current study was to develop a nanostructured double-layer for hydrophobic molecules delivery system. The developed double-layer consisted of polyethylene glycol-based polymeric (PEG) followed by gelatin sub coating of the core hydrophobic molecules containing sodium citrate. The polymeric composition ratio of PEG and the amount of the sub coating gelatin were optimized using the two-level fractional method. The nanoparticles were characterized using AFM and FT-IR techniques. The size of these nano capsules was in the range of 39-76 nm depending on drug loading concentration. The drug was effectively loaded into PEG-Gelatin nanoparticles (≈47%). The hydrophobic molecules-release characteristics in terms of controlled-releas
... Show MoreAdvanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m
... Show MoreBackground: The world is in front of two emerging problems being scarceness of virgin re-sources for bioactive materials and the gathering of waste production. Employment of the surplus waste in the mainstream production can resolve these problems. The current study aimed to prepare and characterize a natural composite CaO-SiO2 based bioactive material derived from naturally sustained raw materials. Then deposit this innovative novel bioactive coating composite materials overlying Yttria-stabilized tetragonal zirconia substrate. Mate-rials and method; Hen eggshell-derived calcium carbonate and rice husk-derived silica were extracted from natural resources to prepare the composite coating material. The manufac-tured powder was characterized
... Show MoreApple slice grading is useful in post-harvest operations for sorting, grading, packaging, labeling, processing, storage, transportation, and meeting market demand and consumer preferences. Proper grading of apple slices can help ensure the quality, safety, and marketability of the final products, contributing to the post-harvest operations of the overall success of the apple industry. The article aims to create a convolutional neural network (CNN) model to classify images of apple slices after immersing them in atmospheric plasma at two different pressures (1 and 5 atm) and two different immersion times (3 and again 6 min) once and in filtered water based on the hardness of the slices usin
The current study used extracts from the aloe vera (AV) plant and the hibiscus sabdariffa flower to make Ag-ZnO nanoparticles (NPs) and Ag-ZnO nanocomposites (NCs). Ag/ZnO NCs were compared to Ag NPs and ZnO NPs. They exhibited unique properties against bacteria and fungi that aren't present in either of the individual parts. The Ag-ZnO NCs from AV showed the best performance against E. coli, with an inhibition zone of up to 27 mm, compared to the other samples. The maximum absorbance peaks were observed at 431 nm and 410 nm for Ag NPs, at 374 nm and 377 nm for ZnO NPs and at 384 nm and 391 nm for Ag-ZnO NCs using AV leaf extract and hibiscus sabdariffa flower extract, respectively. Using field emission-scanning electron microscopes (FE-
... Show MoreABSTRACT Background: Viral hepatitis places a heavy burden on the health care. Large number of patient with bleeding disorders has chronic hepatitis C infection, while few are chronic carriers of hepatitis B virus. Aims of study: evaluate the prevalence of HBV, HCV infection among patient with Von Willebrand disease and to find factors that associated with the chance of getting the infection.
A phytoremediation experiment was carried out with kerosene as a model for total petroleum hydrocarbons. A constructed wetland of barley was exposed to kerosene pollutants at varying concentrations (1, 2, and 3% v/v) in a subsurface flow (SSF) system. After a period of 42 days of exposure, it was found that the average ability to eliminate kerosene ranged from 56.5% to 61.2%, with the highest removal obtained at a kerosene concentration of 1% v/v. The analysis of kerosene at varying initial concentrations allowed the kinetics of kerosene to be fitted with the Grau model, which was closer than that with the zero order, first order, or second order kinetic models. The experimental study showed that the barley plant designed in a subsu
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