Browsing by Author "Ozyurt, A."

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Progeny Testing and Application Potentialities at Swiss Brown Population in the General of Directorate Agricultural Enterprises
(Univ Namik Kemal, 2009) Ozyurt, A.
The success of dairy cattle programs is closely related to the determination of appropriate bereeding values of bulls and dairy cows, effectivenes of fertility and quantitative traits. Selection of bulls more than dairy cows are important. Progeny testing is the best accurate method for determination of the dairy bulls. breeding value. Because the information used in the progeny testing bulls came directly from the estimates of breeding value of their doughters and is highly accurate more than other information groups. In other word, the correlations between breeding value of bulls and phenotypic averages of their doughters are the highest. In addition the heritability and relationship between cows in the information group are important. In the present study, a Progeny Testing Model offered to improve Swiss Brown dairy cattle population that belonging to General of Directorate Agricultural Enterprises and Turkey.
Use of Different Methods for Estimation of Breeding Values and Estimation of Phenotypic and Genetic Parameters in Dairy Cattle
(Univ Namik Kemal, 2009) Ozyurt, A.; Akman, N.
In this study, a total of 2237 lactation records were used from 1034 female offspring of 26 bulls sired in Holstein Friesian dairy herd raising Polatli State Farm between 1985-1994. The records from 854 female offsprings of 26 bulls were used for the analysis of the first lactation and that of milk yield concerning 120 days. The breeding values (11 BV for bull, 12 BV for cow) were estimated by using different methods (Contemporary Comparison-CC, Herdmate Comparison-HC, Best Linear Unbiased Prediction-BLUP, Multiple Trait Derivative Free Restricted Maximum Likelihood- MTDFREML and Most Probable Producing Ability - MPPA). The heritability of first, partial and repeated lactation milk yield, the duration of lactation and the repeatability of milk yield were estimated respectively as 0.206 +/- 0.097, 0.249 +/- 0.101, 0.133 +/- 0.045, 0.057 +/- 0.039 and 0.337 +/- 0.025. All correlations were found high and statiscally significant (P<0.01). It is revealed that, not only new methods which need developed computer program but olso classical methods are effective for the prediction of the breeding value.