Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2023Relationship of progranulin response with some physio-biochemical parameters in Akkaraman sheep
Bayraktar, Buelent; Tekce, Emre; Genç, Murat; Kaya, Hacer; Özcan, Gulbahar Boyuk; Aydemir, Seyma; Kotan, Goksad Cemil; Takma, Cigdem; Ürüsan, Hilal; Aksakal, Vecihi
Progranulin (PGRN) is a multifunctional protein that is critical in the retention of embryos in the endometrium of the uterus and the protection of cervical tissue during fetal growth. In case of PGRN release and dysfunction, cervical tissue may remodel (regeneration) and lead to the risk of abortion. Serum PGRN level in sheep and its variation according to different physiological periods and its relationship with some biochemical parameters are unknown. In this study, the relationship between early lactation, early and late pregnancy serum PGRN levels and some biochemical parameters in Akkaraman sheep was investigated for the first time. In the literature search, no similar studies were found on the relationship between early lactation, early and late pregnancy serum PGRN levels and some biochemical parameters in Akkaraman sheep. The research was carried out on 90 Akkaraman sheep reared in the same herd under the same care and feeding conditions. In the study, Akkaraman ewe were divided into 3 groups as early lactation, early pregnancy and late pregnancy. 1st group is early lactation period ewe (first 60 days of lactation), (n = 30), 2nd group is in the first period of pregnancy (on the 0-90th day of the first pregnancy (n = 30)), 3rd group is in the late pregnancy of pregnancy (100-150 days of pregnancy (n = 30)) was created. Blood samples from vena jugularis were taken before morning feeding from the animals that formed the study groups. PGRN levels in serum were determined by ELISA method. In addition, glucose, calcium (Ca), magnesium (Mg), phosphorus (P), total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), high density lipoprotein (HDL), very low density lipoprotein (VLDL) levels were analyzed in biochemistry autoanalyzer. As a result of the study, lactation and early pregnancy and late pregnancy mean serum PGRN levels were determined as 1.93, 1.78, 1.33 ng mL-1, respectively. The serum PGRN, glucose, Ca, Mg, P, TC, TG, LDL, HDL and VLDL levels of sheep with late pregnancy, early lactation and early pregnancy periods, which constitute the study groups, were found to be statistically significant (P<0.05). Our results have shown that due to the physiological role of PRGN in keeping the embryo in the endometrium of the uterine and in preserving the cervical tissue during fetal growth, there may be a useful parameter in the pursuit of the pregnancy process.
- MakaleAçık Erişim2023Investigation of endocrine response of thyroid and intestinal and adipose tissues due to the addition of Moringa oleifera essential oil in diet for quails exposed to heat stress
Bayraktar, Bulent; Tekce, Emre; Bayraktar, Sevil; Böyük, Gulbahar; Takma, Cigdem; Aksakal, Vecihi; Genç, Murat; Kaya, Hacer; Ülker, Ufuk; Gürbüz, Ahmet Burak
-In this study, we aimed to determine the effect of Moringa oleifera essential oil (MOEO) supplementation to rations of Japanese quail (Coturnix coturnix japonica) grown under heat stress (HS) on some adipokine (visfatin, adiponectin, and chemerin), intestinal (citrulline), 3,5,3 '-triiodothyronine (T3), thyroxine (T4), and thyroid-stimulation hormone (TSH) levels in the serum. For this purpose, 320 day-old male quail chicks were used. The study was conducted over 42 days, including a 7-d adaptation period and a 35-d experimental period. Eight trial groups were established, each including 10 quail: CT (control temperature, 25 celcius), MOEO 200, MOEO 400, MOEO 600, HSC (HS control), SMOEO 200, SMOEO 400, and SMOEO 600. Based on the results, a dose-dependent decrease was observed on days 21 and 42 in serum adiponectin and T3 in the stress and stress-free groups compared with the control group due to MOEO supplementation. The lowest decrease was observed in the MOEO 600 mg/kg dose group. In addition, an increase in stressed groups was observed when examining serum citrulline levels, while chemerin levels did not have a statistically significant effect. While the decrease in serum visfatin, T4, and TSH levels on the 21st day did not have a statistically significant effect, a significant effect was determined on the 42nd day. The addition of MOEO at 600 mg/kg to the ration may be beneficial in preventing intestinal damage and inflammation that may occur due to HS.
- MakaleYalnız künye2012Comparison of Multiple Linear Regression and Artificial Neural Network Models Goodness of Fit to Lactation Milk Yields
Takma, Cigdem; Atil, Hulya; Aksakal, Vecihi
In this study, effects of lactation length, calving year and service period on lactation milk yield of Holstein Friesians were modeled with multiple regression and artificial neural networks (ANN) and compared goodness of fit of models. Analyses were carried on five lactations milk yields of 305 Holsteins calved at 2006, 2007 and 2008 years. After several experiments, hidden layer number was taken one and hidden nodes number were found three for the chosen architecture. Moreover, convergence criteria, maximum iteration number and epoch number were taken as 1.10(-6), 50 and 20, respectively. Adjusted coefficient of determination (R-2),root mean square error (RMSE), mean absolute deviation (MAD), mean absolute percentage error performance criteria (MAPE) were used for comparison of artificial neural network and multiple linear regression models goodness of fit. After analysis R-2 values were found among 0.62-0.85 for the five lactations with neural networks model. RMSE, MAD and MAPE criteria also were found among 480.9-1682.8, 325.2-1381.7 and 6.1-20.2, respectively. These criteria were found for R-2, RMSE, MAD and MAPE among 0.30-0.75, 1964.8-30008.7, 1576.6-2458.3 and 24.7-35.6, respectively for multiple linear regression. When the models were compared, artificial neural networks model gave better fit than multiple linear regression models. Consequently, artificial neural networks was determined an alternative method to multiple regression analysis.