The aims of the present study were to compare growth curve traits using various growth models and to estimate associated genetic parameters under most appropriate growth model using data records of weights at birth, 3, 6, 9 and 12 months of age pertained to 96 male and 196 female Harnali sheep for the period of year 2014 to 2018. Five growth models viz., Brody, Gompertz, logistic, Bertalanffy, negative exponential, were fitted and compared using goodness of fit criteria. Out of all models, Brody model was found to be most suitable model as it showed highest values of adjusted R² and lowest values of root means square error (RMSE), Akaike’s information criterion (AIC) and Bayesian information criterion (BIC). The estimates of growth curve traits viz., asymptotic weight (A), value for inflexion point (B) and rate of maturation (k) under Brody model were 36.35, 0.89 and 0.15 for male; 22.57, 0.84 and 0.27 for female; and 26.64, 0.86 and 0.22 for overall lambs, respectively. The least-square modelling showed that year of birth, sex and weight of ewe at lambing had significant (P < 0.05) influence on estimated growth traits. The female lambs showed high maturing rate but lower mature weights than male lambs. The estimates of heritability for A, B and k were 0.13, 0.15 and 0.15 respectively. The genetic correlation of k with A and B was positive. The low genetic variability among the growth curve parameters indicated that environmental variations must be controlled through appropriate measure in order to achieve desired growth and to set selection programs.

本研究的目的是使用各种生长模型比较生长曲线性状，并使用出生，3、6、9和12个月体重的数据记录（涉及96个男性和女性）估算最合适的生长模型下的相关遗传参数。拟合了2014年至2018年期间的196头Harnali母羊。使用拟合优度标准拟合并比较了五个生长模型，即Brody，Gompertz，logistic，Bertalanffy，负指数。在所有模型中，发现Brody模型是最合适的模型，因为它显示出调整后的R ²的最大值最低均方根误差（RMSE），Akaike信息准则（AIC）和贝叶斯信息准则（BIC）。在布罗迪模型下，男性的生长曲线特征，即渐近体重（A），拐点值（B）和成熟率（k）的估计值分别为36.35、0.89和0.15。女性22.57、0.84和0.27；总羔羊分别为26.64、0.86和0.22。最小二乘模型显示，出生年份，性别和羔羊母羊体重对估计的生长性状有显着影响（P <0.05）。雌性羔羊的成熟率较高，但成熟体重却低于雄性羔羊。A，B和k的遗传力估计分别为0.13、0.15和0.15。k与A和B的遗传相关呈正相关。