Yayınlar
- MakaleYalnız künye2012Determination of feeding efficiency of calves: A stochastic frontier analysis application
Külekçı, Murat; Bayram, Bahri
In this study was aimed to determine the feed efficiencyof calves. The data used in the researchowned by 45 calves including Brown Swiss and Holstein Friesian races were feed with milk andcommercial concentrate during weaning period. Stochastic Frontier Analysis (SFA) was used tomeasure the efficiency In SFA, Cobb- Douglas Production function was used. Live weight ga in ofcalves was the output of model. . Two inputs (commercial concentrated feed and milk intaking tothem during weaning period)and six inefficiency variables ((race of calve, gender of calve, borningweight, weaning weight, intaking period of milk and milk quantity intaking) were used in SFA . Itwas founded that the parameters of weaning weight and intaking period of milk were statisticallysignificant. However, The estimated parameters of efficiency showed that weaning weightpositively affected to the efficiency, while intaking period of milk negatively affected.
- MakaleYalnız künye2010Linear and log-linear model approach on determining the factors affecting live weight gain of holstein and brown swiss calves
Külekçı, Murat; Aksoy, Adem; Akbulut, Omer; Bayram, Bahri
The objective of this study is to determine the factors that affecting live weight gain of calves by two different models, namely linear and log-linear models. It was concluded that two different models used to determine factors affecting live weigh gain produced similar results. Although, in both cases, both race of calves and live weight gain on forth week were not found to be statistically the significant, all other parameters were found to be statistically significant. In the both models, it was found that growth performance of female calves were lower than that of male calves. 1 kg concentrated food consumed per calve caused 0.76 kg live weight gain in linear model. It was determined that there was no difference between races. Determination coefficients of models were quite high. On the other hand, determination coefficient of log-linear model was higher by %0.02.
