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Articles by Ozkan Gorgulu
Total Records ( 2 ) for Ozkan Gorgulu
  Ozkan Gorgulu
  This study was made to the direct and indirect influences of some important milk yield components on 305 days milk yield in breeding by adopting correlation and path coefficient analysis. Path analysis was used to determine the interrelationships between age (X1), number of lactation (X2), calving season (X3), lactation period (X4) and 305 days milk yield (Y) in jersey dairy cattle. For this purpose, milk production record of 898 Jersey cattle raised in 2005 and 2009 years in Koçaş State Farm was used. The results show that age and number of lactation were the most important factors affecting milk yield components. During 5 years, the correlations between age and 305 days milk yield and number of lactation and 305 days milk yield were positive with statistical significance. Age had the highest positive direct effect on 305 days milk yield when data evaluated of 5 years. Number of lactation had a positive and direct effect on 305 days milk yield. The correlation coefficients between calving season and 305 days milk yield were not significant between 2005 and 2009 years.
  Ozkan Gorgulu
  Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques in cluster analysis. When using conventional clustering techniques, dairy cows can only belong to a group, having a particular performance. But actually, the same cows could be important from different perspectives at the same time to a different degree. Therefore, a fuzzy clustering approach is needed. The objective of the study was to show that whether fuzzy cluster analysis which has been used in different disciplines, may be used in dairy cow breeding studies or not. As a fuzzy cluster method, the fanny algorithm method was applied in this study. In terms of determination of clusters, the parameters were the number of lactations, 305-days milk yield, age at the first insemination, age at the first calving, the length of dry period, and the interval time between calving season. 136 dairy cows divided into four clusters using by fuzzy clustering technique. The four clusters differed significantly (p<0.05) from each other. The results show that fuzzy clustering can be used effectively on dairy cows breeding.
 
 
 
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