Уточнить поиск
Результаты 661-670 из 676
Determination of Supplying Ways of Breeding Animals for Sheep Enterprises in Ordu Province Полный текст
2020
Sezai Alkan | Zeki Türkmen
In this study, it was aimed to determine the ways of supplying breeding animals for sheep enterprises in Ordu. In the research, enterprises with a minimum size of 80 heads have been taken into consideration. Random selection method was used in determining the enterprises and face-to-face surveys were conducted in 86 enterprises. 37.21% of the enterprise owners met their breeding coach needs from their own enterprises, while 33.72% met from their own enterprise + neighboring enterprises. Moreover, it was determined that 52.33% of the enterprise owners met their breeding female animal needs from their own enterprise, whereas 22.08% and 12.79% met from their own enterprise + neighboring enterprise and from their own enterprise + state enterprise, respectively. According to the results, 58.14% of breeders (50 enterprises) keep breeding female animals for more than 5 years in the herd and 41.86% of breeders (36 enterprises) keep them between 3-5 years. Breeding male animals are kept in the herd for more than 5 years in 47.67% of enterprises (41 enterprises) and for 3-5 years in 41.86% of enterprises (36 enterprises). In only 10.47% of enterprises, breeding male animals are used in the herd as breeding for less than 3 years.
Показать больше [+] Меньше [-]Socio-Economic Characteristics of Dairy Farms and Use Level of Feedstuff in the Eastern Mediterranean Region Полный текст
2020
Hilal Yılmaz | Tugay Ayasan | Cengiz Sağlam | Mevlüt Gül
The aim of this study was to determine the socio-economic structures of dairy cattle farms and feed usage in dairy cattle sector in the Mediterranean Region provinces (Adana, Osmaniye, Mersin, Hatay, Kahramanmaraş) of Turkey. According to the results of the research, it was determined that the family sourced labour force was used at a higher rate than the foreign labour force during dairy cattle production activities. It was found that forage crops were produced in 62% of the farms where silage maize, alfalfa, barley and vetch covered the highest acreages, respectively. A large proportion of the enterprises was possessor of milking machines (85.81%). It was determined that, as the size of the farm increases, the roughage usage increases compared to concentrate feed.
Показать больше [+] Меньше [-]Red Cabbage Extracts as Inhibitors of Lipid Oxidation in Fresh Minced Tilapia (Nile perch) During Refrigerated Storage Полный текст
2020
Ayse Demirbaş
This study was performed to evaluate effects of red cabbage extract as a preservative against lipid oxidation for quality and shelf life of minced Tilapia (Nile perch) during refrigerated storage at 4 1°C. Untreated and treated samples were examined from day 0 to 10 during refrigerated storage using thiobarbituric acid reactive substances (TBARS) assay, peroxide value (PV), pH and color analysis. Samples treated with red cabbage extract showed less degradation due to lipid oxidation compared to untreated samples. Lipid peroxide values on treated samples showed benefits through day-6. This work shows that red cabbage antioxidant extracts represent an inexpensive and natural method for reducing oxidative spoilage of fresh fish.
Показать больше [+] Меньше [-]The Effects of Zeolite Application on Nitrate Quantity in Soil and The Growth of Maize Plant (Zea Mays L.) Полный текст
2020
Sezer Şahin | Gamze Uçar Tutar | Naif Geboloğlu
Nitrogen losses in agricultural areas cause environmental pollution. At the same time, it reduces the yield in crop production. The aim of this study is to investigate the effects of zeolite and nitrogen applications on the development of maize plant. Another aim is to reveal nitrate changes in soil. Everest maize variety was used in the study. Zeolite doses of 0, 125, 250 and 500 kg/da were applied to the soil. Nitrogen doses were applied to the soil at 5, 10, 15 and 20 kg/da. In this study, zeolite and nitrogen applications increased the plant height, cob weight and green forage yield of maize plant statistically. The highest green weed yield was 6563 kg/da in Z3N3 application and the lowest green forage yield was 4021 kg/da in Z0N0 application. Increased nitrogen doses increased the amount of nitrate in soil by significantly 1% and zeolite applications increased by significantly 5%. The results of this study would be beneficial in the application of zeolite to the soil in order to reduce nitrogen losses and to make the plant benefit more from nitrogen.
Показать больше [+] Меньше [-]Effected Proteins in Apple and Erwinia amylovora Interactions Полный текст
2020
Kubilay Kurtulus Bastas | Ayşegül - Gedük
Fire blight disease caused by Erwinia amylovora can infect almost 140 plants of the Rosaceae family and poses a great threat to pome fruits growing all over the world. It needs amylovoran and Type III secretion systems (T3SS) to cause disease in host plants. AmsB, AmsD, AmsE, AmsF, AmsG, AmsJ, AmsI and AmsK proteins are involved in the binding of different galactose, glucuronic acid and pyruvyl subunits to the lipid carrier to form an amylovoran unit. T3SS proteins secreted by E. amylovora are HrpA HrpN, HrpW, AvrRpt2EA, HopC1 and DspA/E. DspA/E, the sole effector of E. amylovora, is secreted by during the formation of pilus T3SS. The chaperone protein of E. amylovora is DsB/F, which is in the IA class. EopB (outer membrane protein) has been characterized as one of the secretory proteins of E. amylovora. In addition to the harpins, the pathogenicity protein DspE and OrfB proteins are secreted via the Hrp-secretory system of E. amylovora. E. amylovora forms a Hrp pilus, which is produced by the structural protein HrpA. Genes encoding antimicrobial proteins cloned and expressed in apples and pears for impart resistance to the pathogen, attacin E are cecropins and lysozymes. The expression of PR2, PR5 and PR8 proteins is increased with E. amylovora infection in apple. Again, the HIPM protein in apples interacts with the E. amylovora HrpN protein, and the HIPM protein is found in higher amounts in flowers than leaves and shoots. In addition, four apple proteins (DIPMs) that interact with E. amylovora effector protein DspA/E have an effective role in endurance. In order to understand the interaction between the plant and the pathogen, it will be possible to understand the proteins that recognize the pathogen in the host, as well as the signal system and plant defense mechanism resulting from the infection. In this study, the roles of proteins associated with pathogenesis as a result of infection of E. amylovora in apples were tried to be revealed.
Показать больше [+] Меньше [-]The Effect of Intramuscular Oxytocin Injection on Milk Ejection in Dairy Cattles Полный текст
2020
Mansur Seymen Seğmenoğlu
Milking is a source of change in milk yield and milk quality determination, and one of the main events of milking is the oxytocin-mediated ejection reflex. Complete ejection of milk from the udder is due to the presence of high oxytocin during milking. The aim of this study is to investigate whether oxytocin administered intramuscularly has an effect on increasing milk ejection. In the study, 28 clinically healthy lactation Holstein cows were used, the lactation numbers and lactation periods of these cows were ignored in the evaluation. The study groups are divided into four groups, each consisting of seven cows. 50 IU oxytocin was given to group-1 five days before milking in the morning and evening, group-2 received 50 IU oxytocin once a day just before milking and the group-3 was given 50 IU oxytocin once before morning milking on the 1st, 3rd, and 5th days and the group-4 is a control group, oxytocin was not given to this group. Oxytocin injection was administered intramuscularly 30 minutes before milking. In the evaluation, the last five days of milk data before the application, five days of milk data during the application period and five days of milk data after the application period were taken into consideration. As a result of the study, we can say that the udder was not completely emptied with the intramuscular administration of oxytocin.
Показать больше [+] Меньше [-]Morphometric Characterization of the Akbaş (Akbash) Turkish Shepherd Dog Полный текст
2020
Milivoje Urosevic | Darko Drobnjak | Petar Stojic | Yusuf Ziya Oğrak
In this study, a morphometric investigation was carried out on the Akbash Turkish shepherd dog breed using 30 exterior parameters. The study consisted of 96 dogs (54 males and 42 females) ranging in age from 2 to 9 years. All dogs were bred in the West Anatolia region of Turkey, around the city of Eskisehir. The following exterior parameters were measured and their means were obtained: height at withers (65.22±3.99 cm), height at mid-back (62.24±4.24 cm), height at rump (64.97±4.16 cm), height at base of tail (58.2±5.01 cm), height to elbow (36.07±4.06 cm), height to knee (35.83±4.96 cm), height to hock (17.08±3.21 cm), height to tip of sternum (45.12±4.30 cm), body length (70.58±5.58 cm), chest depth (29.58±3.23 cm), chest width (21.02±3.18 cm), breast width (16.86±3.41 cm), chest circumference (77.86±7.05 cm), pastern circumference (13.27±1.67 cm), rump length (19.21±3.27 cm), pelvic width (8.65±2.18 cm), rump protuberance width (7.58±3.02 cm), head length (27.20±2.85 cm), skull length (16.58±1.92 cm), muzzle length (10.30±2.35 cm), skull width (14.06±1.96 cm), muzzle width (7.60±1.26 cm). According to the obtained morphological characteristics the dog has a rectangular body format, and the rump is somewhat higher than the height at the withers. According to its craniological characteristics it belongs to the group of mesaticephalic dogs. The width of the skull is smaller than its length. Angles of the hind legs are more open than angles of the front legs.
Показать больше [+] Меньше [-]Evaluation of Underground Water Quality in Terms of Irrigation Water in Tekirdağ Province Полный текст
2020
Ülviye Çebi
This study includes some deep underground well waters opened to supply the irrigation water in Tekirdağ province. The sampling was done from 22 wells in the irrigation season period. The parameters such as pH, EC, TDS, Na, Ca, Mg, K, Cl, HCO3, B, NO3-N, Sodium Absorption Ratio and Residual Sodium Carbonate parameters, which were significant in terms of irrigation water classification, were examined in the samplings. According to the results, it was determined that thirteen well waters were in medium salty and eight well waters were in high salty water classes. Besides, Na and HCO3 harms were determined in five and three well waters, respectively. In seven well waters, it was concluded that RCE values were over 2,5 me L-1 and these water were not suitable in the usage of irrigation. As a result of the evaluations in terms of the specific ions, it was determined that CL, B and NO3-N concentrations which were found in three, two and one wells respectively, could create damages in some crops. As a result of the evaluations in terms of salinity and SAR parameters, it was concluded that the usage of T5, T6, T8, T10, T13 and T14 well waters was undesirable and the usage of T9, T11, T12, T16, T17 and T21 well waters can be suggested by the provision of some special conditions (appropriate drainage conditions, appropriate plant selection, coarse textured soils).
Показать больше [+] Меньше [-]The Impact of Climate Change on Tourism: A Causality Analysis Полный текст
2020
Murat Atasoy | Filiz Guneysu Atasoy
Tourism industry is one of the primary sectors that contribute to economic growth of countries worldwide. Since it requires appropriate weather conditions and clean environment, climate changes can significantly affect the sector. Therefore, this study examines the causality and long-run relationship between the climate change and tourism sector in Turkey. To estimate the potential long-run relationship between variables, Granger-Causality test is applied to data from 1960 to 2016. The study uses World Development Indicator Data released by World Bank. For the analysis, carbon-dioxide emission, methane emission, energy use (oil equivalent), and forest land are standing for climate change indicators. International tourist arrivals and tourism revenues represent for tourism sector’s variables. The findings show that there is a negative and significant coefficient of climate change on tourism sector. Also, in average, climatic change indicators have unidirectional and negative impact on international tourism revenue. Another finding is that climate change deteriorates to environment by augmenting carbon dioxide emission and methane emission. As a result, climatic change can weaken the tourism industry which can decrease the speed of Turkey’s economic development. In the long run, this research can pioneer assessing the economic and environmental impacts of climate change in the tourism sector bases.
Показать больше [+] Меньше [-]Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining Полный текст
2020
Dilara Gerdan | Abdullah Beyaz | Mustafa Vatandaş
Colour is an essential parameter at product quality control stages, and finally, it is necessary for the consumer marketing decision. It is possible to damage the products during the process from collection to storage. Also, it is a well-known condition, cold environmental conditions protect fruits from deformations negative effects, but most of the time, most of the consumers keep the fruits at room temperature in open packs during the consumption process. Also, this condition affects the product storage time. In this study, it is aimed that to determine the behaviours of the fruits in room temperature and humidity conditions. For this aim the colour change of the damaged pears were determined, in another term, colour change value from red to green and yellow to blue at the damaged pears were determined with lightness values by using image analysis technique and analysed with data mining methods. For this purpose, 100 “Akça” pear and 100 “Deveci” local pear cultivar used for experiments. Fruits were equally damaged by using a pendulum mechanism. The damaged fruits were kept at room temperature. Colour change areas on fruits were evaluated with X-rite Ci60 spectrophotometer, and the hardness of fruits was measured by using a fruit penetrometer. The colour (L, a, b) and ΔE values were analysed for the fruit cultivars. The relationship between fruit hardness and colour change were also demonstrated. The predictions were done supervised machine learning algorithms (Decision Tree and Neural Networks with Meta-Learning Techniques; Majority Voting and Random Forest) by using KNIME Analytics software. The classifier performance (accuracy, error, F-Measure, Cohen's Kappa, recall, precision, true positive (TP), false positive (FP), true negative (TN), false negative (FN) values were given at the conclusion section of the research. The best prediction were found at the Majority Voting method (MAVL) 98.458 % success given with 70% partitioning.
Показать больше [+] Меньше [-]