The objective of this study was to determine barning conditions of dairy farms registered to Cattle Breeders Association (CBA) Ödemiş district of İzmir. The 92 farms were selected among members of the CBA by proportional sampling method. The farms were divided into three groups according to the number of cattle: group 1 from 5 to 20, group 2 from 21 to 40 and group 3 with over 41 heads, respectively. The farms were divided into three groups according to the number of cattle: 5-20; 21-40 and over 41 heads, respectively. The research results indicated that 76.1% of the barns were shed type, 15.2% were corral, 8.7% were completely closed-up. The flooring types of these barns were a mixed of concrete and soil (73.9%), concrete (19.6%) and soil (6.5%). The stocking density for group 1, 2 and 3 were 22.2 m2, 19.5 m2 and 18.2 m2 per cow, respectively. The barns had a range of full cattle capacity from 12.5 m2 to 15 m2 per cow. But none of the farms surveyed did not use fully capacity of the barn. The present running capacity of farms were between 55% and 80%. It was observed that 19.6% of farms had a individual calf section, 82.6% had a night lighting at the barn, and 64.1% had a seperate concenrated feed store. All the farms were milked with milking machines. The percentage of farms with bucked milking machine was 47.8%, those with an air pipeline system was 37% and those with parlour system was 15.2%. None of farms had manure pit. Consequently, as herd size grow, the presence of free barn, calving pen, feed store and milk cooling tank increase. It can be concluded that improving the housing conditions is much more related with increasing the herd size per farm.

The study was designed to determine the consumers’ attitude and behaviors towards poultry meat consumption and to analyze the factors affecting on their meat consumption. The data obtained from 385 households consuming the poultry meat and residing in Erzurum province. As the data set based on Principal Component Analysis to determine the main factors affecting the consumption according to the poultry meat attributes and K-means Cluster Analysis to constitute the homogenous segments related to their consumption frequencies were used. According to the results of the study; the heavy users (C1) consuming the poultry meat consumption constituted the desirous and sensitive consumer segments based on both product image and price-sensitive contributing to the regional and rural development under the augmented product mix registered with the origin of the region. On the other hand, while the medium users (C2) focused on the concept forming their diets under the core benefit and the disease risk of the poultry meat by considering the sensorial and main quality attributes, light users (C3) also tried to maximize their total utility through products with generic brand. Therefore, it could introduce the augmented product mix under the product strategies with local brand with the origin of region for C1, the private brand strategies meting ISO 9001 and HACCP standards for C2, and the generic branded product with the origin of region in accordance with the product image for C3. In this way, it could be contributed to the rural regional developments, and thus could be increased the welfare levels of the people living in the rural areas by providing both the producer and consumer satisfactions.

In this study, 384 persons have been subjected to questionnaire made in order to determine the red meat consumption and preferences of the people living in the central district of Tekirdağ province. In the study it was determined that all the consumers consumed red meat. According to the findings of the research, the annual red meat consumption per capita was determined to be 34.22 kg. Considering the red meat consumption of the people subjected to research, it was determined that beef meat was the most preferred kind among all the other kinds of red meat. In the study, it was determined that in red meat buying place preference consumers prefer traditional retailers such as butcher been specialized. Consumers prefer red meat due to be the most nutritious, respectively be healthy, delicious, habit and easy to access. It was determined that 47.5% of consumers participated in the study were ready to pay extra for red meat in the food safety. It was determined 75.6% people participated in the study consume more red meat if the price of red meat cheapens. A logit model was used for analyzing the factors that influence the red meat consumption of the families participating in this research. According to the logit model results, it was determined that the families’ red meat consumption amount is affected from statistical variables such as; number of family members, education level, spouse's employment status, income, cheapening of the price of red meat .

The aim of this study was to compare some estimation methods (LS, M, S, LTS and MM) for estimating the parameters of simple linear regression model in the presence of outlier and different sample size (10, 20, 30, 50 and 100). To compare methods, the effect of chest girth on body weights of Karayaka lambs at weaning period was examined. Chest girth of lambs was used as independent variable and body weight at weaning period was used as dependent variable in the study. Also, it was taken consideration that there were 10-20% outliers of data set for different sample sizes. Mean square error (MSE) and coefficient of determination (R2) values were used as criteria to evaluate the estimator performance. Research findings showed that LTS estimator is the best models with minimum MSE and maximum R2 values for different size of sample in the presence of outliers. Thereby, LTS method can be proposed, to predict best-fitted model for relationship between chest girth and body weights of Karayaka lambs at weaning period, to the researches who are studying on small ruminants as an alternative way to estimate the regression parameters in the presence of outliers for different sample size.

Improvement studies are conduct to increasing of productivity native sheep breeds. This studies requires being quite comprehensive and disciplined. Improvement studies to achieve the desired characteristics and in which phase of finish is crucial. In this review, we focus on obtaining and fixing type in order to need to be implemented methods in sheep and goats.

Although the digestion and absorption of lipids that are necessary for the survival of living organisms are well known in general terms, nevertheless how different lipids to be digested, how it is distributed into the bloodstream, and how to be used by the cells, are unknown issues by most non specialist people. In recent years, knowledge of lipid digestion and absorption has expanded considerably. More insight has been gained in the mechanism of action of H + pump as a transport system in fatty acid absorption. New knowledge gained on the structure-function relationship and mechanisms of action of several lipolytic enzymes in the gastrointestinal tract. This work intends to give an up to date view of lipid digestion and absorption.

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.

Phenylthiocarbamide (PTC) is known as phenylthiourea and it is an organic compound that has the phenyl ring. Ability to perceive the tastes of PTC chemical is related to the dominance of taste genes. There are a large number of population studies regarding the PTC taste perception and different personal characteristics or disease conditions. The purpose of this study is to reveal and compare the relation between the PTC taste perception and work-out habits, smoking, alcohol consumption and tendency to the depression of people. A total of 2500 adults were volunteered to be included in this study. PTC taste perception was measured by tasting with PTC solution (10 mg/L) filtered in a paper. It showed that tasters were significantly more frequent (81.8%) than nontasters (18.2%) in all population. And in some parameters analyzed in this study, there are significant differences. The taste genetics show up with environmental factors and create the sense of taste, which develops the feeding behaviors. The taste perception resulting from food and beverages diversifies by genetic and environmental effects and the nervous system interprets this perception. This study is enlightening in terms of presenting that the taste perception of people affects their lifestyles and lead them to start and either continue or discontinue some habits.

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.

Sorghum and millet are important food staples in semi-arid tropics of Asia and Africa. Sorghum and millet are cereal grains that have prospective to be used as substitute to wheat flour for celiac patients. These are considered as the good source of many important and essential fatty acids. The volatile profiling of these two important crops is comparable to other cereals as well. The present study was an effort to explore biochemical composition of commercially available sorghum and millet varieties with special reference to their fatty acid and volatile profiling. Chemical composition of sorghum and millet was determined according to respective methods. Fatty acid methyl esters were prepared and then subjected to GC-FID for fatty acids analysis. The results indicated that both sorghum and millet oils are rich in essential fatty acids comprising mono and polyunsaturated fatty acids. Main fatty acids that are identified in current study includes palmitic acid, oleic acid, palmitoleic acid, behenic acid, linoleic acid, linoleic acid, stearic acid, myristic acid, etc. On the other hand volatile compounds from sorghum and millet were determined by preparing their respective volatile samples by using calvenger apparatus with suitable volatile extracting solvent. Volatile samples were then subjected to GC-MS analysis and respected results were compared with NIST library. About 30 different volatiles were identified in millet varieties while 35 different compounds were discovered in sorghum varieties belonging to aldehydes, ketones, benzene derivatives, esters, alcohols, sulphur compounds.