Tahini is a food product that is frequently preferred both directly and as a main ingredient in various ready-to-eat food products and is consumed with interest, especially in the Middle East geography. Its reputation has recently spread across continents to countries like Canada and the United States of America. Tahini was subjected to a number of analyses to ascertain its physicochemical and microbiological quality within the context of the study since it is a highly consumed product with high consumption and demand values. In this context, tahini samples of 10 different brands were collected from producers and commercially sold markets in Balikesir and Bursa. Samples were taken from two different lot numbers for each company. As a result of the analyzes made on the tahini samples, it was determined that the total oil amount of the samples changed between 49.76-58.7%, the salt amount changed between 0.001-0.0027%, the ash amount was between 1.02%-1.28%, and the moisture value was between 1.1-1.5%; as a result of microbiological cultivations in which the presence of yeast and mold were analyzed, an average of 75 CFU/g viability was determined, while Escherichia coli, which was screened as an indicator of fecal contamination, Staphylococcus aureus and Salmonella spp, which are pathogenic microorganisms, were not found to be contaminated in all tahini samples. One of the tahini samples was not found in accordance with the Turkish Food Codex Tahini Communiqué (TFC) in terms of the amount of oil. It is concluded that 90% of the samples were manufactured in line with the TFC when the results of the chemical and microbiological analyses were combined.

This study was performed to determine the genotype and allele frequencies and the association between the leptin gene Sau3AI polymorphism and some performance traits in Simmental (n=60) and Brown Swiss (n=62) cattle in the province of Erzurum, Türkiye. Considering the allele frequencies in the population, the frequency of the A allele was 0.87 and the frequency of the B allele was 0.13 in Simmental cattle, and the frequency of the A allele was 0.94 and the frequency of the B allele was 0.06 in Brown Swiss cattle. According to the analysis conducted in the Simmental breed, the general averages were found to be 5422.4 ± 1901.74 kg for actual milk yield, 5626.6 ± 1475.85 kg for 305-day milk yield, 298.7 ± 84.80 days for lactation duration, and 18.5 ± 4.84 kg for daily milk yield. As a result of the analysis in the Brown Swiss breed, the general averages were 3917.8 ± 1584.38 kg for actual milk yield, 4614.3 ± 982.62 kg for 305-day milk yield, 254.9 ± 99.88 days for lactation duration, and 16.0 ± 3.82 kg for daily milk yield. According to the statistical analysis results, the impact of genotype on milk yield traits was insignificant in Simmental and Brown Swiss cattle.

This is study is based with the support of RS-GIS technology on the land use of Samsun Center, as well as the coastal districts of Ilkadım,Atakum,Bafra Plain, through the processing and interpretation of satellite images in the summer months of 2000,2010,2020. Spatial and temporal variability properties of LU/LC were determined using MLC algorithm, controlled classification approach. The predictive values of the LU/LC change that will occur in 2030, calculated with the MLP‑ANN model based on Machine Learning algorithms and mapped with the QGIS 3.16 program. To determine the accuracy coefficient of the model, 2020 LU/LC simulation performed using the transition potential matrix of 2000 and 2010 LU/LC data. The results of simulation were compared the data of land use land cover with the 2020 to evaluate the accuracy of the simulation model. The model of MLP‑ANN provided an accuracy of 72% based on the kappa fit index. According to MLP‑ANN model 2030 results were an increase of 73.33 km² in built up areas, an increase of 56.89 km² in bare areas, and a decrease of 129.66 km² in green areas. It provided a reference basis for future Samsun urban to rural coastline LU planning and management and LU structure optimization.

The farming technique of radical terracing is one of the new agricultural technologies introduced in Rwanda to enhance farming activities in the highland areas. The study was designed to analyze the applicability of the adoption and diffusion model of farm innovation on adopting radical terraces in Rwanda. It adopted a descriptive correlational research design to the farmers owned radical terraces in Nyamagabe District. The purposive sampling technique was applied to select 19 Key Informants and 192 farmers. Both quantitative and qualitative data were collected through questionnaires, face-to-face interviews, direct observation and documentary sources. Descriptive and inferential statistics were used for quantitative data analysis whereas thematic and narratives content analyses were used on qualitative. The research outcomes show that the level of farmers' adoption was medium. Besides, the farmers’ access to agricultural information; and farmers’ participation were found to have a positive influence on the applicability of the adoption-diffusion model on the adoption of radical terraces. The study showed that the adoption of radical terraces in Nyamagabe depended on the compatibility with the existing values and practices among farmers based on the information-contagion model and the social participation model that is widely used in the agricultural context. The study recommended the government continue sensitizing farmers on the importance of adopting radical terraces for better use and maintenance as a modern farming practice. Further research should focus on the applicability of technology characteristics user's context model on the adoption of radical terraces in Rwanda.

The purpose of this study was to estimate and identify factors affecting the willingness of households to pay for conservation of Washera sheep in West Gojam, Ethiopia. This study used both primary and secondary data. A three-stage sampling method was used to collect data from 240 respondents. Data were analyzed using descriptive statistics and econometric models. The two-dimensional test model used a method to determine the choice of the imputation method using double limited dichotomies. The study showed that education level, livestock size, extension contacts and credit source positively affected the maximum household’s willingness to pay for conservation of Washera sheep. On the other hand, age, sex, land size, and the distance of the home from the household’s market have negatively affected the maximum household’s willingness to pay for conservation of Washera sheep. Meanwhile, the total number of valid answers corresponds to 122,168 households. Therefore, the mean willingness to pay for Washera sheep conservation was US$ 3.75 per year and the total economic benefit gain from Washera sheep conservation were equivalent to US$1,069,647.23. The study recommends that households be willing to contribute to the conservation of Washera sheep breed by providing the cash. This ensures community participation in all decision making and formulation of plans and policies related to the conservation of Washera sheep breeds.

Animal and vegetable wastes are mostly utilized by burning or as fertilizer on agricultural lands. Burning these wastes does not produce a desired level of heat, and the remaining material after heat production cannot be used as fertilizer, either. For this reason, plant and animal wastes are converted into energy by obtaining biogas from biomass, which is one of the most environmentally acceptable methods of solution. This system makes it possible to both produce energy and evaluate the end product as fertilizer. In this study, the efficiency of biogas and methane production from kitchen waste and ovine manure via anaerobic fermentation was evaluated. First of all, the C/N ratio of randomly selected kitchen wastes was determined, and it was found as 34.30. The mixing ratios with ovine manure were determined by considering the C/N ratio that was found. The mixing ratios of kitchen waste and ovine manure by mass were determined as 1:0, 0:1, 1:1, 1:2, and 2:1, respectively, and the C/N values providing optimum biogas production in the mixtures were found. At the end of the 48-day-long anaerobic fermentation process, the highest biogas and methane production was achieved as 525 ml and 332 ml, respectively, in reactor 5 with a mixing ratio of 2:1. This reactor was followed by reactor 2 with 450 ml of biogas and 271 ml of methane production. Accordingly, it was concluded that kitchen waste could be a good mixture with ovine manure in anaerobic fermentation.

In social & economic science disciplines, the lack of strong theories is often reflected in the lack of well-accepted common metrics defined by a UNIT. PAHU Method vs. PC is developed to investigate the feasibility of developing well-grounded common metrics/unit to advance behavioural, economic-social, food security & science research, both in terms of advancing the development of theory and increasing the utility of research for policy & practice. In addition aiming, to consider whether a set of criteria can be developed for understanding when the measurement of a particular construct is ready to be standardized & to explore how the research community can foster a move toward standardization when it appears warranted. In this globalised society, even imperial measures are defined with reference to the metric/unit standards. A radical evaluation method change in global food systems is needed to meet the challenges. State of the art of PAHU Method /Age and Gender Corrected Per Capita (PCagc) is to evaluate demographic structure, consumer & past and future food consumption potential of developed & developing countries, target populations, their food sufficiency & also food security evaluations of family and households. It involves systematic attempts to create awareness of 19.4 percentage UNIT error inherent to PC & pave the way to food - other goods consumption evaluations plus global impact of hunger & environmental issues until 2020-2050-era. PAHUM was applied & evaluated EU28 demographic structure & food consumption issues for 1999/2010/2020. Now it focuses on research with systems approach, contributing to the development of tomorrow’s food systems for family/household evaluations including CO2 emissions-biodiversity relations. A radical evaluation method change in global/EU food systems is needed to meet the global challenges, including family/household on UNIT basis. The principal is always to ask questions “Why”, “What” and “How” will naturally unfold and found the reality of PAHUM. Reality is reality…

In this context, it is necessary to select and develop salt-tolerant genotypes that can grow in salty soils and have high yields, and formulate strategies which may enhance the plant survival under salinity stress. Melatonin (N-acetyl-5-methoxytryptamine) is an important biological hormone that provides resistance to abiotic stress conditions and can be secreted by plants. Melatonin concentration in plants varies depending on genotype, temperature and growth period. Increase in melatonin concentration is associated with increased SNAT and HIOMAT/ASMT enzyme activity. It plays an important role in gibberellic acid and abscisic acid biosynthesis during the germination and provides plant growth and development. Exogenous application of melatonin significantly alleviates chlorophyll degradation and stomatal closure caused by salt stress, improves photosynthesis and enhances plants' salt tolerance. Besides it significantly reduces the harmful effects of salinity by regulating plant physiology, improving plant morphology, photosynthesis and activities of antioxidant enzymes. The present review discusses the recent studies on the effect of melatonin on plant growth and physiology against salt stress that have important impacts on plant growth and development have been given according to the findings of various researches. It also highlights the mechanim/s of melatonin-induced salinity stress tolerance in plants.

A total of 46 chub mackerel and 23 Atlantic mackerel samples were taken from the commercial fishermen engaged in purse seine fishing from the Izmir Bay during the fishing period of 2020-2021. The samples were dissected in the laboratory, 15 ovaries from mature females were taken and fecundity was determined. The minimum, maximum and mean values of total length of Scomber scombrus respectively; It is 26.9-31 cm (mean: 28.89±1.44), 150 420-454 260 (mean: 259 300±97 369). A linear relationship was determined between total length fecundity in mackerel and this value was TL=25.396+0.000013×F (R2=0.83). Oocyte diameter; It is 1.1-.2 (mean: 1.16±0.10) mm. The minimum, maximum and mean values of total length of Scomber colias respectively; it is 25.1-25.9 cm (mean: 25.59±0.26), fecundity 134 853-417 500 (mean: 322 381±84 172). A linear relationship was found between total length fecundity in lichen and this value was TL=24.682+0.000003×F (R2=0.80). Oocyte diameter; It is 0.99-1 (mean:1.02±0.06) mm.