Browsing by Author "Mendes, M."

Now showing 1 - 4 of 4

Effect of Stocking Density on Deviation From Bilateral Symmetry and Slaughter Weight in Broilers
(Pakistan Agricultural Scientists Forum, 2013) Mirtagioglu, H.; Mollaogullari, A.; Genc, S.; Mendes, M.
The main objective of this study was to investigate the effect of two different stocking densities (11 birds / m(2) and 17 birds / m(2)) on deviation from bilateral symmetry in broiler chickens. For this purpose, the weekly body weight, left and right shank length, shank width, wing length, face width and face length of the same birds were measured on from 7th to 42nd days of age. Repeated measurements analysis of variance was used to investigate the effect of stocking densities and ages (week) on relative asymmetry. Binary logistic regression analysis was used to determine the most important morphological character influencing the deviation from ideal slaughter weight of 1800 g. The overall relative asymmetry mean for shank width was significantly greater in control group (2.42 +/- 0.41) than in treatment group (1.87 +/- 0.43). The results of binary logistic regression analysis showed that only increase in difference of width in left and right shank caused significant change (p= 0.0148) in slaughter weight. In this study, the deviation from the bilateral symmetry was mostly found in fluctuating asymmetry for the measured characters in treatment group (11 birds per m(2)), and the low fluctuating asymmetry level was generally indicated higher welfare level and lower developmental instability for this group than that of the control group (17 birds per m(2)). Stocking density can be stated as one of the most important environmental factors which may influence developmental stability, welfare and performance of broilers.
The Effects of Wood Vinegar on Some Soil Microorganisms
(Aloki Applied Ecological Research and Forensic inst Ltd, 2019) Koc, I; Ogun, E.; Namli, A.; Mendes, M.; Kutlu, E.; Yardim, E. N.
This study was carried out in order to determine the enzyme activity of the wood vinegar obtained from the hazelnut shells with the potential of bio-pesticide in agro-ecosystem soil, and its effect on the microfungi and heterotrophic bacteria in total. The study was realized in the production seasons of 2014-2015 and 2015-2016, in the ecological conditions of the province Mus (in Turkey) on winter wheat field and with four repetitions according to Randomized Blocks Experimental Design. The treatments within the scope of the experiment were conducted as the six different doses of wood vinegar at 0.5%, 1.0%, 2.0%, 3.0%, 4.0%, and 5.0% mL, and the control treatment which was only provided with tap water. Repeated Measurement ANOVA was used to determine the effect of wood vinegar at different doses, the production seasons and periods (pre- and post-treatment) on relevant features. As based on the statistical inferences, only the Treatment x Year and Period x Year interaction effects in terms of the number of heterotrophic bacteria (P = 0.000 and P = 0.011); and only the Period x Year interaction effects for the number of microfungi (P = 0.000) were found statistically significant. Therefore, the effect of the treatments made on the number of heterotrophic bacteria varied by the production seasons. In a similar way, the effect of the production season and periods on the number of microfungi also changed as based on the term. While the effect of period (P = 0.000) and the Treatment x Period interaction (P = 0.014) effect were significant for Alkaline Phosphatase activity, Year x Period (P = 0.001) and Treatment x Period interactions (P = 0.000) were found significant as related to Beta Glucosidase activity. In conclusion, it may be stated that the wood vinegar used at different doses with the purpose of protecting plant and/or crop in wheat agro-ecosystem does not have a negative effect on microbial factors determined in the soil, and especially, the treatment of 3% mL has a positive effect on bacteria number and Beta Glucosidase enzyme activity.
Estimation of Parameters of Linear and Nonlinear Growth Curve Models at Early Growth Stage in California Turkeys
(Eugen Ulmer Gmbh Co, 2007) Ersoy, I. E.; Mendes, M.; Keskin, S.
This study was designed to investigate growth characteristics of totally 194 California turkeys (98 male, 96 female) using their weight-age data at early growth stage (during first 10 weeks). Linear, Logistic with three parameters and Richards' growth models were applied to estimate growth parameters. Results of analyses showed that both Logistic and Richard's growth models fitted weight and age data very well with R-2 = 99.3% and 99.4% for males and R-2 = 99.2% and 99.3% for females. Mature weights of males and females estimated using Logistic growth (2,228 +/- 55.3 g and 2,011 +/- 54.4 g) model and Richard's growth model (2,195 +/- 62.5 g and 1,973 +/- 59.9 g) was similar. In the case of the estimate on the change of body weights of male and female turkeys by equations W-t = -196.22 + 275.98t and W-t = -169.50 + 246.28t using the linear model, the k2 values of the estimates were 93.8% and 94.0%. R2 values in the linear model were smaller than those in the Logistic and Richards's models. When comparison is done based on the other criteria (Jp, AIC, BIC, DW, and asymptotic correlation), Logistic and Richard's growth models can be assumed to be more appropriate to estimate growth characteristics of young turkeys. On the other hand, among these growth curve models the logistic model can give the most reliable estimates of growth parameters of turkeys at early stage of life.
Influence of Using Alternative Means on Type-I Error Rate in the Comparison of Independent Groups
(Pakistan Agricultural Scientists Forum, 2014) Mirtagioglu, H.; Yigit, S.; Mollaogullari, A.; Genc, S.; Mendes, M.
In this study, the effect of using trimmed, winsorized, and modified means instead of arithmetic mean on type-I error rate was investigated when the assumptions of the one-way ANOVA were not satisfied. Therefore, random numbers were generated by simulation technique from the populations distributed by Normal (0,1), Beta (5,2) and chi(2) (3) for 3 and 4 groups. The results of 30 000 simulation trials demonstrated that all the means displayed similar type-I error rates when the variances were homogenous regardless of the distribution shape, sample size and the number of groups. When homogeneity of variances assumption was not satisfied, the most reliable result was obtained by using trimmed mean in terms of keeping the type-I error rate at nominal alpha level and it was followed by modified and winsorized means. The most biased results were obtained when arithmetic mean was used.