본 연구는 우리나라 Jersey 암소 41두로부터 측정된 체중 데이터를 이용해 Gompertz, von Bertalanffy 및 Logistic 모형의 성장 곡선을 추정하고,
추정된 성장 곡선의 모수를 활용하여 Jersey 암소의 성장 특성에 대해 알아보고자 실시하였다. 추정된 Gompertz, von Bertalanffy 및 Logistic
모형의 성장 곡선 함수식은 각각 , 및 이었다. Gompertz, von
Bertalanffy 및 Logistic 모형에 대해 변곡점은 각각 10.719, 8.4292 및 14.618 개월로 추정되었고, 변곡점 체중은 각각 208.514, 211.347 및
203.548kg으로 추정되었으며, 최대 증체율은 각각 20.851, 21.192 및 21.993 (kg/월)로 추정되었다. 오차 평균 제곱합과 모형 결정 계수의 결과를
종합해보면 von Bertalanffy, Gompertz 그리고 Logistic 모형 순으로 Jersey 암소 성장 곡선에 적합도가 높은 것으로 판단된다.
This study was conducted to estimate growth curves using Gompertz, von Bertalanffy, and Logistic models and to compare their growth characteristics based on the growth curve parameters of 41 heads of female Jersey cattle from South Korea. Gompertz, von Bertalanffy, and Logistic models were utilized for nonlinear regression analyses. Estimates of growth curve functions for Gompertz, von Bertalanffy, and Logistic models were , , and , respectively. The estimated infection points were 10.719, 8.4292, and 14.618 month, the estimated weights at inflection were 208.514, 211.347 and 203.548 kg and the estimated gains at inflection were 0.851, 21.192 and 21.993 (kg/month) for Gompertz, von Bertalanffy, and Logistic models, respectively. Combining the results of residual mean squares and correlation coefficient, our results showed that the growth curve for female Jersey cattle was most suitable in the order of von Bertalanffy model, Gompertz model, and Logistic model.