Browsing by Author "Eyduran, E."

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Appropriate Growth Model Describing Some Testicular Characteristics in Norduz Male Lambs
(Pakistan Agricultural Scientists Forum, 2010) Karakus, K.; Eyduran, E.; Aygun, T.; Javed, K.
The objective of this study was to determine the appropriate non-linear function describing growth of some testicular traits (testicular length, testicular diameter, scrotal circumference and scrotal length) in Norduz male lambs. Testicular characteristics at 90, 110, 130, 150, 170, and 190 days of age for all the lambs were measured. Four growth (Monomolecular, Logistic, Gompertz, and Richard's) models were used to explain relationship between each testicular trait-age. Growth models were based on averages of measurements on their testicular traits in each period of all the male lambs. As a result, appropriate growth models explaining growth at early age of testicular length, testicular diameter, scrotal circumference and scrotal length in Norduz male lambs were Logistic and Richard's non-linear model. Also, age and body weight had significant effect on these testicular traits.
Comparison of Some Raspberry Cultivars' Herbal Features by Repeated Random Complete Design Statistic Technique
(Asian Network for Scientific Information, 2007) Eyduran, S.P.; Aǧaoǧlu, Y.S.; Eyduran, E.; Özdemir, T.
The aim of this study was comparatively to examine herbal traits of the cultivars such as Rubin, Summit, Holland Dwarf, Heritage, Tulameen, Aksu Red, Nuburg, Canby and Willamette red raspberries cultivated at Ankara Condition, in the capital of Turkey between 2002 and 2005. According to Repeated Random Complete Design (RRCD) (which was composed of four random plot design experiments) used in the experiment, the effects of cultivar, year and cultivar by year interaction on herbal traits such as the height of shoot, diameter of shoot, number of shoot, fruitfulness of shoot and weight of fruit were further more significant (p<0.0001). Besides, determination coefficients of RRCD for traits ranged from 95.60 to 99.94% (very-high). As a result, we concluded in Ankara condition that as to herbal traits such as the height of shoot, diameter of shoot, number of shoot, fruitfulness of shoot and weight of fruit, Willamette cultivar were more superior to others. In addition, we can suggest that researchers should analyze using RRCD because Determination Coefficients of RRCD for all traits were much more found. © 2007 Asian Network for Scientific Information.
Determination of Some Pomological Features of Bilberries (Vaccinium Myrtillus L.) Native To Sarıkamış (Kars), Turkey
(Centenary University, 2019) Akin, M.; Eyduran, S.P.; Gazıoğlu Şensoy, R.ı.; Eyduran, E.
This study was carried out to evaluate some physical and chemical properties of wild bilberry fruits collected from Sarıkamış forest of Kars province in Eastern Anatolia Region of Turkey. For this purpose, berry width, berry length, berry weight, pH, titratable acidity content (TAC), soluble solid content (SSC), taste, aroma, L*, a*, and b* color values were measured based on 4 replications of 20 fruit samples each from 20 plant genotypes. The results were interpreted on average values. Average values for width, length, weight, pH, TAC, SSC, taste, aroma and L*, a*, b* color values of berries were found as: 9.12 mm, 8.02 mm, 5.08 g, 2.22, 2.70%, 7.41%, 2.95, 3.00, 14.88, 1.72 and 0.06, respectively. Range values for the corresponding characteristics were determined as: 7.55 to 10.37 mm, 6.95 to 9.80 mm, 3.00 to 7.00 g, 2.04 to 2.60 %, 2.40 to 3.00 %, 6.00 to 8.50, 2.00 to 4.00, 13.24 to 16.30, 1.004 to 3.04 and -1.98 to 3.87, respectively (There is no aroma interval between these values). The current research is a preliminary evaluation for some physical and chemical characteristics of wild bilberries native to Sarıkamış district. Consequently, more detailed studies should be conducted on further physical and chemical characteristics of bilberries for breeding purposes and to gain baseline knowledge on the flora of Turkey. © 2019, Centenary University. All rights reserved.
The Determination of The Best Growth Model for Akkaraman and German Blackheaded Mutton X Akkaraman B1 Crosbreed Lambs
(Scientific Issues Natl Centre Agrarian Sciences, 2009) Kucuk, M.; Eyduran, E.
The present paper aimed to determine the most suitable growth model for Akkaraman and German Blackheaded Mutton x Akkaraman B-1 crosbreed lambs using various growth models (Monomolecular, Logistic, and Gompertz growth models). Coefficient of determination and Root Mean Square Error (RMSE) were used to the best growth model. The data were composed of 30 Akkaraman breed (Genotype I) and 25 German Blackheaded Mutton x Akkaraman B-1 crosbreed lambs (Genotype II). Body weights of lambs were recorded monthly from birth to 180(th) days of age. It was concluded that the most suitable growth model for two genotypes was found to be monomolecular growth model.
Determination of the Best Nonlinear Model for Describing Complete Lactation of Akkaraman and German Blackheaded Mutton X Akkaraman Crossbreed (F1) Sheep
(Scientific Issues Natl Centre Agrarian Sciences, 2010) Kucuk, M.; Eyduran, E.
The fat-tailed Akkaraman breed, traditionally raised in Turkey, is a breed with the best adaptation to poor feeding and harsh conditions. German Blackheaded Mutton breed originated from British downs breeds, one of breeds raised in Germany, has long mating season (about approximately two lambs a year) and a perfect adaptation to rainy country. The objective of present paper was to determine the most appropriate nonlinear model for describing complete lactation of Akkaraman and German Blackheaded Mutton x Akkaraman B-1 Crossbreed Sheep. The data were consisted of milk production records collected from 25 Akkaraman (Genotype I) and 23 German Blackheaded Mutton x Akkaraman B-1 Crossbreed Sheep (Genotype II) with 2 year of age. Daily milk yields of all ewes were recorded fortnightly from 15(th) days to 150(th) days of lactation. Quadratic, Cubic model, and Wood models were fitted to daily milk yield - time data in order to explain daily milk yield-time relationship of these ewes. These models were fitted to averages of daily milk yield of all ewes at each period for two genotypes. It was concluded that the best nonlinear model for describing complete lactation of Akkaraman breed and German Blackheaded Mutton x Akkaraman B-1 Crossbreed Sheep was found to be Cubic model.
Determination of the Ideal Growth Curve of Angora X Coloured Mohair Goat Cross and Coloured Mohair Goat Kids
(2009) Kucuk, M.; Eyduran, E.; Bolacali, M.; Ozdemir, T.
The aim of this study was to determine the best growth model explaining growth of body weights of Angora goat x coloured Mohair goat cross-breed F 1 and coloured Mohair goat kids using Gompertz, 3 parameter Logistic, Richards and 4 parameter Logistic growth models. Kids were divided into four groups, Angora goat x coloured Mohair goat cross-breed F1 male (genotype Im) and female (genotype If) kids, and oloured Mohair goat kids male (genotype llm) and female (genotype IIf) kids. In order to determine the best growth model, coefficient of determination (R2), Root of Mean Square Error (RMSE), and asymptotic correlations among growth parameters were used. Contrary to other growth models, absolute asymptotic correlation coefficients among parameters of Gompertz growth model for all groups were found higher than 0.95. As a result, it was concluded that Gompertz growth model was the best model for growth at early phase of four groups of goats studied.
Determining of Student Teachers Self-Confidence Using Technology in Instruction
(2009) Erdemir, N.; Bakirci, H.; Eyduran, E.
Using of teaching aimed technology in Higher Education Institutions has increased in recent decades, but problems related to teaching and learning still are on the agenda. The purpose of the research was to determine student teachers opinions about preparing skill and the capability of using the internet, computer and teaching aimed technology in instruction, based on the different variables. The study was conducted with 325 student teachers from two different education faculties. They enrolled in preschool, primary school (class teacher), social science and Turkish Language, and elementary mathematics and science from these two Faculties of Education. As a scale, 29-item Likert-type Technology Attitude Scale was used. Data were analyzed with mean, ANOVA and Chi-Square statistics on computer, using SPSS 15.50 package program. Student teachers expressed that they did not feel enough themselves in the use of the internet and computer for education, that they were adequate in the use of the search engines for education, and they could prepare simple materials for teaching, but complex and multi-aimed educational devices. It has been concluded that female student teachers were better than males in self-confidence based on the use of teaching -aimed technology. Student teachers should be given project and research-based assignment to improve themselves about using computer and technology learning.
Factors Affecting the Growth of Norduz Lambs
(2009) Karakus, K.; Eyduran, E.; Aygun, T.; Cengiz, F.
From the study, it was found that the effects of gender and birth type on birth weight, weights at 30, 60, 90,120,150 and 180th days of age were significant, whereas dam's age had no effect on weights at all periods. Also, the linear regressions of weights at all periods on birth weight were found significant. On conclusion it is stated that sex and birth type had significant effect on weights at all periods, whereas effect of dam age on weights at all periods was found non-significant.
New Approaches To Determination of the Best Nonlinear Function Describing Growth at Early Phases of Kivircik and Morkaraman Breeds
(Medwell online, 2008) Eyduran, E.; Kuecuek, M.; Karakus, K.; Ozdemir, T.
The present study was to determine the most suitable nonlinear growth model explaining growth at early stage of lambs of Morkaraman and Kivircik breeds from birth to 180th days of age. For this aim, Monomolecular, Gompertz, Logistic with 3 parameter, Richards, logistic with 4 parameter growth models were used for explaining the body weight-time relationship on 4 breed-sex groups; namely, Morkaraman-Male, Morkaraman-Female, Kivircik-Male and Kivircik-Female. These growth models were fitted to weight-age data on basis of averages of all groups at each period. Body weights of these lambs were recorded fortnightly from birth to 180th days of age. Criteria such as R(2) and Root Mean Square Error (RMSE) and Asymptotic Correlation Coefficients (ACC) between growth parameters in all models were used to determine the best growth model explaining growth at early stage of weight-age of these lambs, Apart from these criteria, we developed two new approaches derived from Asymptotic Correlation Coefficients (ACC), namely, Absolute Reduction Ratio (%) (ARR) and Absolute Reduction Ratio for Cut-off value (%) (ARRC). It was concluded that the most appropriate growth model explaining body weight-time relationship at early phase of four groups was found to be Gompertz growth model and new approaches gave more effective results about testing effectiveness of growth models.
Some Factors Influencing the Birth Weights of Norduz Kids
(Scientific Issues Natl Centre Agrarian Sciences, 2010) Karakus, K.; Aygun, T.; Budag, C.; Eyduran, E.; Ozdemir, T.
The present paper was conducted to determine the effects of some environmental factors on Norduz kids raised at Research and Application Farm of Agricultural Faculty, Yuzuncu Yil University, Van, Turkey. For this aim, birth type (single and twin), gender (male and female), dam age at lambing (1, 2, 3, 4, 5, and 6), and birth year (2005, 2006, and 2007), and birth weights (kg) of 155 Norduz kids were recorded. According to results of the present paper, effect of gender factor on birth weight of kids was found to be non-significant, the influences of dam age (P<0.05), birth type (P<0.05), and birth year (P<0.001) on it were found significant. As a result, the birth weight trait provides useful information for early selection criteria in breeding program. Determination and adjustment of the effects of environmental factors influencing it are very important for achieving more accurate genetic parameters and effective application of breeding and selection methods on the trait.
A Study on Determination of Functional Food Consumption Habits and Awareness of Consumers in Turkey
(Scientific Issues Natl Centre Agrarian Sciences, 2011) Dogan, I. S.; Yildiz, O.; Eyduran, E.; Kose, S.
The survey study was to determine the status of knowledge about functional foods, the factors influencing consumer preferences in the purchase and their expectations in Turkey. A total of 389 persons, 288 men and 101 women ranging from 10 to 70 ages were participated in the study. Participants' level of awareness about functional foods was found to be approximately 40%. In general, it was determined that these foods were consumed little by almost half (51.34%) of those participated to the survey. It was also found that women and especially participants ranging from 20 to 40 years-old consumed more functional foods than the rest of participants. As a result, it was concluded that education, income level, product price, compliance with religious sensitivities, the presence of artificial food additives and genetic modification were to be effective on functional food choice.
A Study on Power of Chi-Square and G Statistics in Biology Sciences
(2006) Eyduran, E.; Özdemir, T.; Kazim Kara, M.; Keskin, S.; Çak, B.
The objective of this study was to examined Chi-Square and G test statistics in place of enough sample size, contingency coefficient and power of test for different four contingency tables (data set) regarding biology sciences. Besides, this study was to determine whether sample sizes of various four samples in biology sciences were sufficient. The reliability of two statistics related to Sample size, contingency coefficient and power of test. Power analysis for Chi-Square and G test statistics were performed using a special SAS macro According to results of power analysis, sample sizes of other sets of data except the third data set were determined to be sufficient because power values for both statistics were more than 88%. With respect to power analysis, G statistics for the initial two data sets were more advantageous than other as power value of G statistics were larger than that of other. In the last data set, as sample size were 1607 and power values for both statistics were 100%, both were asymptotically equivalent each other. As power values of the third data set for Chi-Square and G test statistics were approximately 46.77 and 58.16%, respectively, sample size with 20 for both were determined to be insufficient. When we artificially increased 30 to 200 by 10, sufficient sample size for third data should be 50 so as to provide power values of 80% with respect to results of SAS special macro. As a result, this study emphasized that researchers should have taken into sample sizes and power of test account except for probability of Type Error I in contingency tables in order to determine the best one of both statistics. © 2006 Asian Network for Scientific Information.
Usage of Factor Scores for Determining Relationships Among Body Weight and Some Body Measurements
(Scientific Issues Natl Centre Agrarian Sciences, 2009) Eyduran, E.; Karakus, K.; Karakus, S.; Cengiz, F.
The aim of this study is to estimate weaning weight (WW) using six body measurements (withers height (WH), body length (BL), chest circumference (CC), leg circumference (LC), body depth (BD), and width of chest behind shoulders (WCS)) measured at weaning period by factor scores in multiple regression model. For this aim, a total of 94 Norduz lambs were used. "Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy" and Bartlett's test of sphericity were used to determine whether factor analysis was suitable for data studied. According to results of these criteria, the data was found to be most appropriate for applying factor analysis. Three factors whose eigenvalues greater than 1 were selected as independent variables for multiple regression analysis. It was concluded that that three factors had significant-positive effects on weaning weight and all three factors explained approximately 80% of variation in weaning weight.