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Articles by Ecevit Eyduran
Total Records ( 4 ) for Ecevit Eyduran
  Ecevit Eyduran , Kemal Yazgan and Taner Ozdemir
  The aim of this study was to examine Profile Analysis by using a sample from Animal Science. Profile Analysis, a multivariate approach to Repeated Analysis is an alternative to MANOVA due to ensuring different information to a researcher such as comparison of levels of treatment, repeated measurement and treatment by time interaction. Besides, PA is an advantageous because it doesn’t require spherity assumption in MANOVA. As a result, PA has been widely used in social and psychology fields except from animal science. Because of these reasons, in the future it was suggested and based on our results that PA could be used for studies regarding animal science containing repeated measurement.
  Kadir Karakus , Ecevit Eyduran , Memis Bolacali and Taner Ozdemir
  The aim of this study was to compare birth weights of Norduz and Karakas genotypes and determine the effects of gender, birth type, dam age and genotype on birth weight. The data were composed of a total of 204 (103 Norduz and 101 Karakas) lambs born in 2003 in Van, in located region of the Eastern Anatolia, Turkey. The effects of gender (p<0.05), birth type (p<0.05) and dam age (p<0.05) on birth weight were found to be significant, whereas difference among averages of birth weight of breeds was found to be non- significant. As a result, using of birth weight as crucial criterion for early selecting animal is based on determination and elimination of some factors affecting the trait.
  Kadir Karakus , Cemal Budag , S. Seckin Tuncer , Taner Ozdemir and Ecevit Eyduran
  The present study was conducted to determine the effects of several environmental factors on 572 lambs (229 Karakas and 343 Norduz) raised at Research and Application Farm of Agricultural Faculty, Yuzuncu Yil University, Van, Turkey. In this study, birth type (single and twin), gender (male and female), dam age at lambing (1, 2, 3, 4, 5, 6 and 7) and birth year (2004, 2005, 2006 and 2007) and birth weights (kg) of Norduz and Karakas Lambs were recorded. According to results obtained from the present study, genotype factor on birth weight of Norduz lambs was non-significant, the influences of gender (p<0.001), dam age (p<0.01), birth type (p<0.001) and birth year (p<0.05) on it were found significant. As a result, the birth weight trait provides useful information for early selection criteria in breeding program.
  Kadir Karakus , Ecevit Eyduran , Derya Kum , Tenar Ozdemir and Firat Cengiz
  The aim of this study, was to determine the best non-linear model and measure interval (biweekly or monthly) in explaining the body weight-age relationship in Norduz male lambs born in 2004. For this aim, Brody, Logistic, Gompertz and Richards non-linear models were fitted to the average body weight-age data with 15 (biweekly) days and 30 (monthly) days of measure intervals. Although, Logistic model become equal to Richards model (99.8%) for two intervals, Logistic model had lower RMSE than Richards model. Therefore, the best non-linear model for 2 intervals was Logistic model having the highest coefficient of determination (R2) but the lowest Root of Means Square Error (RMSE). Contrary to Brody non-linear model, the usage of 30 days of measure intervals performed positive effect on Logistic, Gompertz and Richards non-linear models instead of 15 days of measure interval. As a result, it was concluded that the best non-linear model for Norduz male lambs was Logistic model and the appropriate measure interval for Norduz male lambs was monthly interval.
 
 
 
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