The effects of temperature and pressure processing on myrosinase extracted from fresh broccoli and brown mustard seed was studied. Brown mustard seeds had higher myrosinase activity (2.75 un/mL) than fresh broccoli (0.58 un/mL). The extent of enzyme inactivation increased with pressure (200-800 MPa) and temperature (30-80°C) for both brown mustard seeds and fresh broccoli myrosinase. However, at combinations of lower pressures (200-400 MPa) and temperatures (30-80°C), there was less myrosinase inactivation. When processing at a pressure of 300 MPa with a temperature of 70°C for 10 minutes, there was 65% myrosinase activity for brown mustard while at 300 MPa and 60°C, activity retention in fresh broccoli was 30%. Whereas, the corresponding activity retentions when applying only heat (70°C for 10 minutes) was 35% for brown mustard myrosinase, while there was no measurable myrosinase activity for fresh broccoli (60°C, 10 minutes). Thus, application of moderate pressures (200-400 MPa) on brown mustard and fresh broccoli can potentially be used to retain myrosinase activity needed for subsequent glucosinolate hydrolysis.

Drying method is preferred in agricultural products since it provides advantages in many processes such as increasing the strength of products, transporting and storing. It is necessary to estimate the drying behavior of the products in order to achieve the best drying without reducing the product quality. For this reason, many numerical drying models have been developed to estimate the drying kinetics of the products. Recently, artificial neural networks have been widely used for the development of these models. Artificial neural networks are mathematical models that work in a similar way to natural neuron cells. Radial based artificial neural networks are radial based activation functions in the transition to the hidden layer unlike other networks. In this study, modeling of drying kinetics with radial based networks was investigated. For the experiment, red hot pepper (Capsicum annuum L.) was dipped in boiled water and microwave pretreatments and, then dried in the oven at 65°C. The absorbable moisture values were calculated during the drying period. The radial based artificial neural network models were trained with the drying time values as input and the absorbable moisture values as output. The study was carried out with two data sets including all data and only the average. In trainings with all data, R value of the best model was calculated as 0.9566. R was calculated as 0.9998 with average data.

This study aimed to reveal relationship between the extensiveness of trichophytosis on the body and serum zinc levels in cattle. This study was carried out on 92 cattle with trichophytosis and 50 healthy ones. Serum zinc levels of healthy cattle were evaluated as control. The cattle with trichophytosis separated into 5 groups according to diffusiveness of the diseases. Experimental groups of this study were designed as follows; Group 1: up to 1 cm, Group 2: 1-5 cm, Group 3: 5-10 cm, Group 4: 10-20 cm and Group 5: widespread on the body. Serum zinc levels measured by atomic absorption spectrophotometer equipped with flame system. In general, the mean level of Zn in trichophytosis groups (0.613±0.013 mg Zn/L) was statistically lower than healthy ones (0.900±0.017 mg Zn/L). A negative correlation was determined between the diffusiveness degree of trichophytosis and serum zinc levels (r = -0.772). Serum Zinc levels were statistically decreased from the control group to group 3. However, a stable course was observed from 3 to 5. Therefore, the value of group 3 (0.6 mgZn/L) was determined as a critical value for the cattle with trichophytosis. According to regression analysis results, it was observed that the extensiveness of the trichophytosis lesions affected the levels of serum Zn levels significantly (r2=59.6%). Consequently, serum zinc levels of cattle decreased in an inversely proportional manner to the diffusiveness degree of trichophytosis and stabilization was observed at the level of 0.6 mg Zn/L.

Syria is a middle-income developing country with an economy that heavily depends on the food and agricultural sectors. However, with the recent Syria crisis/war, which started in March 2011, Syria’s food and agricultural industries have badly been affected. While the most of the processing factories and agricultural facilities such as industrial zones, food plants, greenhouses, irrigation canals and pumps have been damaged in the conflict areas, this resulted in a huge recession in the food and agricultural productivity of Syria. It is estimated that this will impact the country to meet the future food requirements as well. In this study, the agricultural and food potential of Syria was analysed based on agricultural area, available lands, irrigation, food sectors etc. for the future planning food policies.

In the study, it has been demonstrated its use for a data set obtained from layer hens in a hybrid approach obtained by combining BAGGING and MARS. In the study, the data of 2018 of the egg production enterprise in a private livestock enterprise in the Çukurova Region of Adana province were used. In the research, a data set obtained from Lohman breed chickens, who are at an average age of 60 weeks, was used. Earth (enhanced adaptive regression through hinges) and caret (classification and regression training), mda (Mixture Discriminant Analysis) packages were used in R STUDIO program to provide a stronger solution of regression problems in the created MARS and Bagging MARS algorithm. The estimation performance of the bagging MARS technique was evaluated with the goodness of fit criteria by taking the B value of the bootstrap sample number 3. In the study, the effect of temperature and humidity on egg yield, broken / cracked eggs, number of dead animals and feed consumption was investigated using MARS and bagging MARS analysis. While the effect of evening temperature(t3) on egg yield was found to be significant, it was not included in the estimation equation since morning (t1) and noon(t2) temperatures did not have a significant effect. Since the number of broken / cracked eggs and dead animals is less than 5 weeks, these variables are not included in the estimation equation in MARS and Bagging MARS models. It has been observed that feed consumption has a positive contribution in both models.

Weed-competitive cultivars are desired in the wake of growing popularity of organic farming, environmental pollution and evolution of herbicide resistance in weeds. This research work evaluated the weed competitive ability of three forage maize cultivars (ADA-523, AGA and SASA-5) against the noxious weed barnyardgrass (Echinochloa crus-galli (L.) P.Beauv.). The study was conducted in spring 2018 and repeated in summer 2018. Results of this study showed that maize-barnyardgrass competition significantly decreased the growth of forage maize plants. For instance, barnyardgrass decreased the maize plant height by 11.9-16.9%, leaf length by 13.3-20.2%, leaf width by 20.2-27.4%, and number of leaves by 14.3-25.0%. Fresh and dry weights of maize plants were also significantly decreased as a result of weed-crop competition. Barnyardgrass decreased the shoot fresh weight (30.7-60.6%), shoot dry weight (33.3-52.2%), leaf fresh weight (33.4-56.5%) and leaf dry weight (31.9-50.0%) of the maize plants. An interactive effect of weed × maize cultivars was found non-significant. Forage maize cultivars also varied occasionally for their traits. Nevertheless, ADA-523 had a higher plant height, leaf length, leaf width, leaf fresh weight and leaf dry weight than the cultivars AGA and SASA-5. On the other hand, the cultivar SASA-5 had a higher shoot fresh weight, shoot dry weight and root fresh weight than the other cultivars in the study. This research work concluded that the forage maize cultivars in the study did not vary for the weed-competitive ability. Further, barnyardgrass-maize competition could decrease the growth and development of the maize cultivars.

Sous-vide process is a cooking method for vacuumed products which are placed in a water bath or steam oven at controllable low temperatures and specific long times. This technique is widely used for cooking of meat and meat products which have limited shelf life throughout cold storage. Temperature, time and vacuum parameters used in sous-vide method are effective factors on meat quality. It is realised that meat tenderness increases with this technique due to cooking is performed at low temperatures. For the same reason, more water is retained in the texture and cooking losses are reduced. In addition to this, it is appeared that the sous-vide method provides protection of nutrient components that are water-soluble and/or adversely affected by high temperature applications, so that this method increases the nutritional value of meat. On the other hand, use of controllable cooking temperatures facilitates to reach targeted core temperatures in meat. With the help of homogeneous distribution of heat, even colour formation on meat can be observed. Oxidative reactions in the product are limited by the application of vacuum, so that product quality can be preserved for a long time. The risk of food safety as a result of low temperature applications in sous-vide cooking is eliminated by increasing cooking times. In this review, it is aimed to inform about effects of sous-vide cooking technique on meat quality under the heads of; texture, juiciness and cooking losses, colour, flavour, lipid and protein oxidation and microbial quality. Besides, the effects of sous-vide cooking method on quality parameters, different effects of sous-vide and traditional cooking methods on quality parameters were deeply discussed.

This study was carried out in order to determine the effect of organic liquid fertilizer applications on grain yield, yield characteristics and some quality trait of wheat in different periods in organic agriculture trial area. The trial was conducted in four replications according to a split-plot design in randomized blocks in trial area of the vocational Akçakale high school during the 2016-2017 and 2017-2018 growing season. Şölen 2002 and Edessa wheat varieties and organic liquid fertilizer and barnyard manure were used as materials in the research. Organic liquid fertilizer was applied in five different periods such as control, tillering, beginning of the bolting, the end of the bolting and the hearing, provided that the dose remained the same. According to the results of the research, the highest values were obtained in the end of the bolting of Şölen-2002 variety in terms of grain yield and yield components (spike length, spikelet number, number of grains per spike, grain weight per spike, plant height, hectoliter weight and thousand kernel weight). According to the results of two years, the highest grain yield (530.43 kg/da-1) was obtained in the end of the bolting application of Şölen-2002 variety. Since the first year of the study was warmer and more drought than the second year, While the yield and yield components decreased, the quality characteristics (protein and dry gluten ratio) increased. Due to the temperatures, Edessa variety had higher protein and dry gluten ratios than Şölen-2002 variety.

The purpose of this research is to measure the economic performance and development of rainbow trout farming in inland waters in Turkey. As a result of the research, it was determined that the farms use an average of 82% of their capacities. There was a negative relationship between the farm-scale and CUR, and as the farm scale grows, the CUR decreases. The average feed conversion rate (FCR) of the enterprises was calculated as 1.12. Fish capital (36.8%) had the largest share in active capital, and equity capital (87.2%) had the largest share in passive capital. Net profits of farms falling to one-tonne production capacity; it was calculated as 2.374 TRY in small-scale farms, 1.322 TRY in medium-scale farms and 1.896 TRY in large-scale farms. The proportional profit of farms was 1.08, 0.99, and 1.17, respectively. The average current ratio value of the examined farms was calculated as 3.67 and liquidity ratios as 3.55. As the farm's scale grows, current ratio values also increase, and large-scale farms had more cash assets than small and medium-scale farms. As a result of the research; It can be said that the trout-breeding farms in Turkey have current assets that can pay their short term debts. The average borrowing rate of farms was 0.16. In other words, 16% of the financial assets of the trout farms in Turkey were met from debts. The turnover rate of the assets of the farms was 0.79 and is below the sector average. The average rate of economic profitability of farms was calculated as 0.13. In other words, the income that farms generate from aquaculture is more than the opportunity cost.

Due to a better understanding of its positive effects on nutrition and health, consumer demands for sesame seeds and products have increased steadily in recent years. The aim of the study is to determine the total phenolic content belonging to 17 different sesame genotypes (with different seed color) and the antioxidant content by DPPH and ABTS methods. The total amount of phenolic substance varied between 1.99-6.81 mg GA/g, and the highest amount of phenolic content was obtained from the Libya genotype, while the lowest value was obtained from the Gaziantep-Oğuzeli genotype. While antioxidant activity values obtained according to DPPH method varied between 8.23 and 17.50 mg Trolox/g, antioxidant activity values obtained according to ABTS method ranged between 3.62 and 4.18 (mmol Trolox)/g. According to the correlation analysis, it was determined that there was a statistically significant and positive relationship between antioxidant capacities according to total phenolic content, DPPH and ABTS methods. However, no relation was found between the seed color and these properties.