Labneh is one of the most consumed dairy products in the Lebanese community, on breakfast, as a snack or on dinner, plane or mixed with herbs. Its various health benefits plus its acceptability among people makes it an important part of the Lebanese diet. In both its synthetic and homemade forms, several additives are usually incorporated to enhance its flavor and offer a variety of tastes. The problem with Labneh is its short shelf life, as well as its sensitive sensory profile. That is why most industries mix chemical additives with Labneh to prolong its shelf life and conserve its taste. The aim of this research is to preserve Labneh naturally by adding Moringa Oleifera dried leaves to extend its shelf life and inhibit rapid spoilage. Working on a natural preservation of Labneh instead of chemical preservation will be assessed by the survey’s results and prepare for studying the overall acceptability of the product by making a sensory analysis. The results of the questionnaire showed that the Lebanese community which is not totally aware of Moringa Oleifera benefits and availability, is willing to try fortified Labneh with Moringa as a new product with extended shelf life and more health benefits. The results of the sensory analysis showed that the sensory attributes of the samples with Moringa after 21 days of storage, where not significantly different than normal plane Labneh, which indicate that adding Moringa did not affect the sensory attributes of Labneh giving it more acceptability to consumers.

High morbidity and mortality rate associated with pneumococcal infection globally is of major concern most especially among infant. This burden is equally worsened by multidrug resistance strains due to indiscriminate consumption of antibiotics. Hence, need for constant search for cheap and effective bioactive compounds as alternative antimicrobials for the treatment of pneumococcal infection. Bioactive compound profiling and in-vitro antibacterial activity of ginger methanol extract against two predominant pneumococcal agents; Streptococcus pneumonia and Haemophilus influenza were investigated. Gas Chromatography Mass Spectroscopy (GC-MS) was used for the identification and quantification of bioactive compounds in the ginger methanol extract. The antibacterial activity and Minimum Inhibitory Concentration (MIC) of the extract was determined using Agar well diffusion. Twenty-seven (27) matched bioactive compounds were detected in the sample. Zingerone (17.70%), α-zingiberene (13.30%), (6)-shogaol (10.84%), α-Farnesene (6.26%), β-Funebrene (5.61%), 6-gingerol (5.18%), α-curcumene (4.15%) were the major compounds present. All other identified compounds had less than 4% composition by peak area each. The antibacterial activity of the ginger crude methanol extract against S. pneumonia and H. influenza were 2.33 mm and 9.33 mm. MIC of the extract against the isolates was 10%. In conclusion ginger crude methanol extract contain an array of bioactive compounds and the extract exhibited antibacterial activity against predominant pneumococcal agents. Ginger extract can be harnessed for the production of new antimicrobials to combat pneumococcal infection.

Salinity often increases osmotic stress, reducing plant water uptake and inhibiting the absorption of nutrients and minerals. This imbalance situation causes physiological, biochemical disorders, and nutrient deficiencies in plants. In this study, the effects of biochar application on the physiological properties, nutrient contents and antioxidant enzyme activities of lettuce were investigated under saline irrigation water conditions. For this purpose, four different biochar doses and different irrigation water salinity levels were applied to the lettuce plant. In the study, biochar application under salt stress conditions decreased the Na, Fe, Zn content and antioxidant enzyme activity of the plant. Leaf relative water content, chlorophyll content (SPAD) and some nutrients (Ca, K, Mg, P, Cu and Mn) also increased. Therefore, biochar applied under salt irrigated water conditions offers good potential to reduce the severity of plant exposure to salinity stress. In addition, the biochar amendment helped the plant uptake of nutrients.

Port Harcourt cosmopolis grappled with a continual rise in municipal solid waste (MSW) generation. The increase is a consequence of an advance in population rise and consumption pattern. The paper reports an approximate valuation and depiction of municipal solid waste with emphasis from questionnaire survey on socio-economic status of the inhabitants in the zones that make up the cosmopolis. The methodology and procedure for this investigation obtained using vehicle selection approach centered on ASTM D5321 standard test method for ascertaining the constituents of municipal solid waste. Specimens were sorted into fourteen waste classifications of paper; 6.22%, pasteboard; 2%, plastic film; 9.05%, dense plastic; 2.73%, glass; 2.3%, iron-based metal; 3.03%, non-iron based metal; 1.13%, putrescibles; 56.3%, textiles; 1.85%, misc-ignitable; 2.83%, non-misc ignitable; 3.35%, E-waste; 2.33%, household waste; 4.88% and fine elements; 2.03%. The outcome shows an average 56.3% of municipal solid waste specimens discovered to be biodegradable. This is suitable for composting activities. Aside biodegradables, there exist, paper glass, dense plastics, and iron-based metals, which are recyclables. This is significant for providing gainful employments to the inhabitants of the cosmopolis. On the contrary, there were about 2.83% of misc-ignitable. This is suitable for energy recovery. There was a variation in specimens of MSW in all the zones that make up the cosmopolis, attributing it to changes in disparity in incomes. It is necessary for government to legalize, recycling and composting activities, which based on the waste management hierarchy process in a manner that ensures environmental sustainability, economic sustainability, and global acceptance.

Foeniculum vulgare Mill, known as fennel, is a medicinal plant of the Apiaceae family, widely used in traditional Algerian medicine. The aim of this study was to estimate the polyphenols and flavonoids content and to evaluate the antioxidant, the analgesic and the antiulcer activities of aqueous extract of F. vulgare seeds. Quantitative determination of total polyphenols and flavonoids revealed that this extract contained 551.45±0.010 mg gallic acid equivalent/g of dry extract and 284.83±0.008 mg quercetin equivalent/g of dry extract respectively. The study of the gastroprotective effect showed that this extract is able to protect the stomach against lesions induced by 70% ethanol. The percentages of protection were 55.54±6.99 and 71±3.09% for the 200 and 400 mg/kg doses respectively. The study of the analgesic activity indicated that the aqueous extract of F. vulgare reduced the pain induced by acetic acid (0.6%) with an inhibition rate of 47.89% and 68.65% for doses of 200 and 400 mg/kg respectively. Free radical 2,2-diphenyl-1-picrylhydrazyl and iron chelation tests were applied to evaluate the in vitro antioxidant activity. The free radical scavenging activity of F. vulgare extract against 2,2-diphenyl-1-picrylhydrazyl radicals revealed an IC50 value of IC50=30.91±0.49 mg/mL in comparison with gallic acid (0.038±0.0002 mg/mL). The iron chelating test showed that the extract had a high capacity for iron chelating, which was estimated at 0.346±0.003 mg/mL in comparison with the chelating reference agent, ethylene diaminetetraacetic acid.

Mycotoxin is a worldwide problem threatening animal health and performance as well as public health. The objective of this experiment was to test the effect of ammonization on elimination of common mycotoxins in laying hen compound feed (CF) and dairy cattle total mixed ration (TMR). The CF for laying hens and TMR for dairy cows were contaminated with commonly occurring mycotoxins [aflatoxin B1 (AFB1), ochratoxin A (OTA), and zearalenone (ZEA)] at 25 times of their accepted legal limits (20 ppb, 200 ppb and 500 ppb, respectively). They were then subjected to ammonization with ammonium bicarbonate (NH4HCO3) at 50C for 24 hours under the atmospheric pressure. Mycotoxin levels were analyzed using the LC-MS/MS technique. The elimination levels in CF and TMR were 53% and 54% for AFB1; 31% and 31% for OTA and 22% and 22% for ZEA, respectively. In conclusion, ammonization was effective in destroying common mycotoxin, at an order of AFB1 > OTA > ZEA.

The aim of this study; By examining the development of technology use in agriculture, making comparisons according to countries and discussing the applicability of 4.0 technology in the agricultural sector, the advantages of these technologies to business economy and management are determined. As a matter of fact, the increase in the world population and the need for more resources accordingly keeps the issue of productivity on the agenda. Technological methods are needed to increase productivity in agricultural production. These technological methods; It is known as green agriculture, precision agriculture, digital agriculture, smart agriculture or agriculture 4.0, and with the development of these technologies, a very comprehensive data acquisition process has started and it has come to the point of making business decisions according to the analysis of the data and the results of these. At this point, the most important issue to be discussed is the applicability and affordability of smart agriculture technology. As a matter of fact, the production factors (land, capital, labor and entrepreneurship) owned by agricultural enterprises in Turkey are limited and insufficient according to European standards. Therefore, the compatibility of the technologies to be used according to the enterprises is extremely important, and strategies should be determined in order to prevent the use of idle technology. In this context, for the first time in the study, the technological development was examined by classifying the application areas of Agriculture 4.0 technology and their hardware features. As a result, predictions and suggestions about the future of Agriculture 4.0 or smart agriculture will be prepared and the smart agriculture policy will be presented to the sector and public institutions.

The study aimed was to determine the best nonlinear function describing the growth stages of the Japanese quail breed. To this aim, growth functions such as exponential, logistic, von Bertalanffy, Brody, and Gompertz were used as nonlinear functions is used in the description of the body weight-age relationship of male and female Japanese quails. The Multivariate Adaptive Regression Splines (MARS) data mining algorithm was applied to the individual growth parameters obtained from the determined as the best fit model, and the relationship between sex and growth parameters with it has been revealed. The study dataset was 1267 body weight-age records collected from the hatching to the 6th week of age of 181 Japanese quails consisting of 90 females and 91 males. Each model was applied separately for both males and females. Model fit criteria such as coefficient of determination (R2), adjusted coefficient of determination (R2adj), Akaike's information criterion (AIC), and Bayes information criterion (BIC) were used to evaluate the performances of the growth functions used individually. All the statistical analyses were made by the R package program. The growth curve models were ranked in the form of Logistic > Gompertz > von Bertalanffy > Brody > Exponential according to the goodness of fit criteria. The most suitable model among the non-linear models in terms of performance was logistic. When the relationship between the growth curve parameters and body weight of the logistic model was explained with the MARS algorithm, the goodness of fit criteria showed that the obtained MARS model showed reliable performance. In addition, Pearson’s correlation coefficient between real and estimated body weight was found quite strong for the MARS algorithm (r=0.935). The results showed that the MARS algorithm can be presented as a good reference for breeders to establish breed standards and selection strategies for Japanese quails in growth parameters for breeding purposes.

The viruses that cause avian flu (influenza) are highly contagious and highly variable viruses commonly found in birds. Wild birds in aquatic habitats are thought to be natural reservoirs for influenza viruses, but domestic poultry and other birds can also be infected. Influenza viruses belong to the orthomyxovirus family. Influenza A viruses are the only orthomyxoviruses known to naturally affect birds. Many bird species are susceptible to infection with influenza A viruses. Influenza A viruses have nucleocapsid and matrix proteins associated with their antigenic properties but are subtyped according to the hemagglutinin (H) and neuraminidase (N) antigens. In addition, avian influenza virus infections are considered to be one of the most important public health problems of the 21st century. Only in the last century, avian influenza viruses have created 4 different pandemics and have caused the death of a large number of poultry all over the world. The main purpose of this study is to provide information about avian influenza virus characteristics, important virus subtypes, clinical symptoms and antiviral drugs by analyzing the “Avian influenza” known as a poultry epidemic that has had significant effects in the 21st century.

This study aims to determine the characteristics of young farmers and their businesses that benefit from and cannot benefit from young farmer support in the Mediterranean Region and determine the factors that affect the benefit of young farmer project support. In 2016, a survey was conducted with all 160 producers who benefited from young farmer support, and a survey was conducted with 56 producers who applied for young farmer project support but could not benefit from it to make comparisons between groups. The tendency of farmers to benefit from the young farmer support project was determined using artificial neural networks and logistic regression analysis. It was determined that the majority of the producers who received support only made animal production and mixed production (livetock production and vegetable production), while the majority of the producers who did not receive support made only plant production. With both analysis methods, it was determined that the most critical variables that affect the benefit of young farmer project support are the type of activity, the share of non-agricultural income in total income, the number of farmers in the family, the education period, the status of having non-agricultural income and family size. The total correct classification rate was found to be 87.04% in the logistic regression analysis and 91.20% in the artificial neural network analysis, and it was seen that the classification percentages obtained by both methods were quite close to each other.