The aim of this study is to develop salad dressing as an excipient food that can be used to enhance beneficial effects of salads when co-ingested together. The compounds that include bioactive constituents different from other salad dressings are germinated seed and sprouts of lentils and cowpeas, and caseinomacropeptide isolated from whey. The proximate composition, total phenols and total flavonoids of salad dressing were determined. Its beneficial effects on health (antioxidant activity, antidiabetic activity, bile acid binding capacity, and angiotensin converting enzyme inhibitory activity) were determined using in vitro methods.
Energy value of salad dressing is 111 kcal/100 g and 11.41% of the energy value of the salad dressing is provided by protein. Total phenol content is 79 mg CE/100 g. Salad dressing displayed higher antioxidant activity against DPPH radical (130 mM Trolox/100 g) than that of ORAC value (72 mM Trolox/100 g). Salad dressing inhibited ACE by approximately 37%. Expected glycemic index of salad dressing was 74.0 and belongs to high glycemic index foods. Contrary to, salad dressing inhibited α-glucosidase and α-amylase with the IC50 values 1.77 mg protein/mL and 2.40 mg protein/mL, respectively. Relative to cholestyramine, bile acid binding capacity of salad dressing is 39.85%.

Aflatoxins are the potential carcinogens produced as secondary metabolites by Aspergillus flavus. They have the ability to contaminate large number of food which ultimately affect the human population. Malt extract agar was selected for the growth of control stains of fungus. The aim of the study was to develop a reliable and quick method for the detection of aflatoxin producing strains in peanuts by using molecular approaches. Total 80 samples of infected peanuts were collected from four different cities of Punjab and checked for their aflatoxin contamination. For aflatoxin detection, three target genes nor1, ver1 and aflR were selected which was involved in the aflatoxin biosynthesis. In all examined cases, 24 out of 80 (30%) samples successfully amplified all three genes indicating aflatoxigenic activity. Discrimination between aflatoxigenic and non-aflatoxigenic strains were also determined on the basis of amplification of these three target DNA fragments. In this study, it was also demonstrated that only specific strains were able to produce the aflatoxin contamination in peanuts.

In this study, this was the aimed to determine the reproduction and hatching yields in different weight groups in hatchery origin rootstocks (F3) Black Sea trout (Salmo trutta labrax Pallas, 1814). In this study, the female fishes which produced from natural rootstock were used average weight 1437±134.6 g (Group I) 2737±210.2 g (Group II) and 3785±162.3 g (Group III). After the stripping process; according to the groups, were determined respectively eggs absolute fecundity (number of eggs/broodfish) is average 2353±205, 5361±506, 6603±491, relative fecundity (number of eggs/kg)) is average1687±166, 1968±194, 1744±114. The egg diameter (mm) 4.89±0.16, 5.28±0.07, 5.31±0.06 egg weight (mg) 77±6, 90±4, 96±3 groups I., II. and III. respectively was calculated. The fertilization ratio (%) 95.49±1.23, 96.49±1.14, 98.39±0.52, browse rate (%) 79.97±5.36, 84.20±5.23, 94.70±1.50, has been identified. The output rate (%) 60.57±7.86, 67.66±6.42, 84.83±3.09, the hatchery efficiency (%) 58.14±7.95, 69.77±6.25, 83.51±3.29 was found. relative fecundity average value 168±160, 1968±194, 1744±114.The existence of relationship among the weight of the brood-stock, absolute fecundity (0.0198, 0.0012, 0.3499), and relative egg fecundity (0.3415, 0.0494, 0.00) was tested by regression analysis and consequently the difference between groups were significant. This was determined that between fish weight and absolute fecundity relationship is weak directly proportional for each group, between fish weight and relative fecundity is weak inversely proportional in Group I and II, the Group III is weak for directly proportional.

The purpose of this study was to evaluate the performance of multiple imputation method in case that missing observation structure is at random and completely at random from the approach of general linear mixed model. The application data of study was consisted of a total 77 heads of Norduz ram lambs at 7 months of age. After slaughtering, pH values measured at five different time points were determined as dependent variable. In addition, hot carcass weight, muscle glycogen level and fasting durations were included as independent variables in the model. In the dependent variable without missing observation, two missing observation structures including Missing Completely at Random (MCAR) and Missing at Random (MAR) were created by deleting the observations at certain rations (10% and 25%). After that, in data sets that have missing observation structure, complete data sets were obtained using MI (multiple imputation). The results obtained by applying general linear mixed model to the data sets that were completed using MI method were compared to the results regarding complete data. In the mixed model which was applied to the complete data and MI data sets, results whose covariance structures were the same and parameter estimations and standard estimations were rather close to the complete data are obtained. As a result, in this study, it was ensured that reliable information was obtained in mixed model in case of choosing MI as imputation method in missing observation structure and rates of both cases.

In the present study, we isolated three thermophilic Bacillus strains from the soil samples collected from the coast sediments of the Burnaz Stream located in Erzin. The isolates were entitled as Bacillus sp. CT1, CT2, and CT3, respectively. The maximum α-amylase production was revealed at 60°C for CT1 strain, and at 80°C for CT2 and CT3 strains, respectively. The optimum enzyme activity was observed at 90°C for CT1 α-amylase, whereas at 60°C for CT2 and CT3 α-amylases. On the other hand, optimum pH value for CT2 α-amylase was 7.0, whereas 8.0 for CT1 and CT3 α-amylases. The specific activities of CT1, CT2, and CT3 amylases were 317.6, 113.3 and 362.7 U/mg at 55°C, respectively. The estimated molecular weight of CT1 and CT3 α-amylase was 65 kDa, and for CT2 α-amylase was 38 kDa by zymogram analysis.

The purpose of this study is to determine the environmental sensitivity and awareness level of the inhabitants in Konya, Sarayönü districts. In today’s world, the environment is rapidly being polluted and pollution rate is being increased by human beings. In this regards, the viewpoints of Sarayönü people on the environment and environmental elements are revealed. For this purpose, a research include variables such as gender, age, job and education level was carried out by using a questionnaire made up of 16 questions. The questionnaire was applied to 314 males and 286 females, totaling 600 participants. The research serves to raise an awareness of environment and environmental sensitivity. The findings showed that the people in Sarayönü have a high level of environmental sensitivity. Females tended to reflect a higher level of sensivitiy to the environment than males. The participants opted for air pollution as being the most important environmental element among the air, water, soil etc. pollution.

This study aims to determine and analyse farmers’ risk perceptions and risk management strategies in dairy farming. Data were obtained in 2014 (December) and 2015 (February and March) from face-to-face interviews with 96 dairy farmers in Yüregir and Saricam district of Adana province of Turkey. Factor analysis was used in data reduction to identify a small number of factors related to risk sources and risk strategies in this study. Then, multiple regression model was used to evaluate the influence of socio-economic characteristics and communication behaviour on the farmers’ risk perceptions and risk management strategies using factor loadings. The results of this study show that the most important risk source that the farmers' perceive is variability in feed prices and risk management strategy that the farmers' perceive is take precautions to prevent disease. The results of factor analysis show that the risk scale consists of 8 factors explaining 70.24% of total variance. The internal consistency coefficient Cronbach Alfa of the scale is 0.808 and KMO is 0.732. The risk management scale consists of 6 factors explaining 67.78% of total variance. The internal consistency coefficient Cronbach Alfa of the scale is 0.775 and KMO is 0.746. According to the results, perceptions were farmer-specific, a number of socio-economic variables and communication behaviour are found to be related to risk and risk management. To improve risk management strategies is useful for farmers as well and might help them to avoid many risks and reduce losses.

Guinea fowl live on the Africa continent as wild and where used intensively family livestock farming in the rural. Although the homeland of the Africa continent, Guinea growing rapidly increasing in the World. Nowadays, Guinea fowl is an important alternative genetic resource can be used in organic livestock farming which developing quickly. Able to adapt to different climatic conditions, have an economic efficiency level in the don’t good environmental conditions and being resistant to diseases are the biggest advantages. Besides, Guinea fowl eats insects, ticks, worms, mouse and snakes, especially in the surrounding of the livestock farming in the rural it can be used for biological control of these pests easily. Because of these advantages, Guinea fowl has a potential for alternative poultry production in Turkey. In this review, importance and general characteristics of Guinea fowl are given.