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Articles by Kadir Karakus
Total Records ( 6 ) for Kadir Karakus
  Selcuk Seckin Tuncer , Kadir Karakus and Serhat Arslan
  This study was carried out to determine and compares the some fleece characteristics and greasy fleece weights in Ile de France x Akkaraman (B1) and (Ile de France x Akkaraman B1) x Karakas (F1) crossbreds. Data were collected from 10 Ile de France x Akkaraman (B1) (IFA) and 10 (Ile de France x Akkaraman B1) x Karakas (F1) (IFAK) sheep in Animal Science Breeding Farm, Yuzuncu Yil University, Turkey. Greasy fleece weights (kg) were obtained at shearing in late June. Wool characteristics in the sheep were investigated for greasy fleece weight (kg), clean fiber percentage (%), elasticity (%), breaking strength (g), fiber length (mm) and fibre diameter (?m). Data for each wool characteristics were analyzed effecting on sex and breeds of sheep. Overall means of fleece characteristics were 52.70?1.53%, 23.03?1.37%, 6.37?0.41g, 37.93?1.16 mm and 27.68?0.77 ?m for clean fiber percentage, elasticity, breaking straight, fiber length and fiber diameter, respectively. There weren`t important differences between Ile de France x Akkaraman (B1) and (Ile de France x Akkaraman B1) x Karakas (F1) crossbreds for means of the greasy fleece and means of the fleece characteristics. As results of this study, it was found that a small improvement was observed in (Ile de France x Akkaraman B1) x Karakas (F1) crosses.
  Kadir Karakus , Selcuk Seckin Tuncer and Serhat Arslan
  Data were collected from 10 Karakas and 10 Norduz sheep in Animal Science Breeding Farm, Yuzuncu Yil University, Turkey. Fleece characteristics in the sheep were investigated as greasy fleece weight (kg), clean fiber percentage (%), elasticity (%), breaking strength (g), fiber length (cm) and fiber diameter ( m).The sheep produced 1.836?0.102 kg for average greasy fleece weight. Greasy fleece weight, clean fiber percentage, elasticity, breaking straight, fiber length were observed 1.72?0.14 kg, 48.18?1.93%, 24.68?1.11%, 7.97?1.02 g, 37.12?1.49 mm for Karakas and same traits were determined 1.96?0.14 kg, 55.76?2.53%, 29.66?1.88%, 10.95?0.89g and 41.54?2.30mm for Norduz were 1.72?0.14kg and 1.96?0.14 kg, respectively. Karakas and Norduz were produced medium quality fibers. Therefore, homogeneity of the fleece is very important as well as fiber diameter. Karakas and Norduz sheep produced 30.13?1.52 m and 32.24?1.18 m for fiber diameter, respectively. Difference between breed of sheep have been significant for the clean fiber percentage, elasticity and breaking straight. Differences between breed and sex have not importance for other fleece traits.
  Kadir Karakus and Hamit Mirtagioglu
  The objective of this study is to analyze by generalized linear mixed modeling technique with binomial structure data for reproductive characteristics in Norduz local ewes in Turkey. The data were collected from Yuzuncu Yil University, Animal Science Breeding Farm in Turkey. A total of 83 ewes and their 94 lambs at born 2004 season were included in the analysis born over a period of one year. Five Norduz rams were analyzed for sperm characteristics before artificial insemination (AI). AI is applied according to sperm performance of rams. Reproductive characteristics were included birth weight (BW), birth type, sex and return or non-returning (RNR) performance for two successive estrus cycles of ewes and age of dam (2, 3, 4 and 5). As regards of the criteria for Goodness of Fits for investigated traits, the values of the fitting results indicated that using models are good fit for all traits. Effecting birth type and sex of lamb have been importance effects on the BW. On the other hand, effect of age of the dam, ram and returning have not been significantly on the BW. According to the results, lambs` ram produced medium (3 or 4 mass activity score) quality of the sperm have been higher BW than others. Male and single born lambs have been also highest BW. In the analysis a GENMOD procedure for an unequal design was used in order to account for the effect of some reproduction traits. In this study, GENMOD procedure accounts for the effect of these traits on the estimates of parameters, if all information upon which the culling decisions were made included in the data.
  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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