|
|
| |
| Articles
by
Taner Ozdemir |
Total Records (
4 ) for
Taner Ozdemir |
|
 |
| |
|
| |
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. |
|
|
| |
|
| |
Ecevit Eyduran
,
Taner Ozdemir
,
M. Kazim Kara
,
Siddik Keskin
and
Bahattin Cak
|
| |
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. |
|
|
|
|
| |
|
