关键词: 林麝, 生长曲线, 幂函数模型

Abstract: [Objective] The aim of this study is to detect the growth curve model of the forest musk deer (Moschus berezorskii). [Method] Logistic,Gompertz,Log-modified,Log-logistic,Gauss, power function,conic,exponential function,hyperbolic function and negative exponential function models were chosen as the candidates for fitting the growth model of bodyweight,shoulder height and body length of the forest musk deer. [Results] Power function model had the best fitting performance which could reflect bodyweight,shoulder height and body length growth characteristics of the forest musk deer,with fitted equation y=2.237 2x^0.388114 (R²=0.992 6),y=28.380 2x^0.159911 (R²=0.987 5) and y=48.159 5x^0.164618 (R²=0.961 3),respectively. [Conclusion] The growth model of bodyweight,shoulder height and body length for the forest musk deer fitted power function curve rather than single S growth curve.

Key words: forest musk deer(Moschus berezorskii), growth curve, power function