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使用非线性生长曲线模型评估西罗希山羊的生长曲线

Appraisal of growth curve in Sirohi goat using non-linear growth curve models.

作者信息

Waiz Hina Ashraf, Gautam Lokesh, Waiz Syma Ashraf

机构信息

Livestock Production Management, College of veterinary & Animal Science, Udaipur, Rajasthan University of Veterinary & Animal Science, Bikaner, 334001, India.

Animal Genetics and Breeding, College of Veterinary &Animal Science, Udaipur, Rajasthan University of Veterinary & Animal Science, Bikaner, 334001, India.

出版信息

Trop Anim Health Prod. 2019 Jun;51(5):1135-1140. doi: 10.1007/s11250-018-01794-x. Epub 2019 Jan 2.

DOI:10.1007/s11250-018-01794-x
PMID:30604331
Abstract

In the present study, the appropriateness of five non-linear mixed growth curve models was studied to describe body weight growth of Sirohi male and female goat from birth to 12 months of age. Using selected functions, biologically pertinent variables were estimated for each goat from the Brody, Gompertz, Logistic, Richard, and Weibull. In addition, the males had higher asymptotic live weight 'A' than female counterparts. The highest values for 'B' parameter were observed for Weibull in both sexes, whereas the lowest value was calculated from Gompertz model. Maturity rate 'K' was higher in males than that of females. Male goat had heavier inflection weight 'm' and higher age than females for all the models. The best model was determined by considering the following goodness of fit criteria: coefficient of determination (R), mean square error (RMSE), mean absolute error (MAE), and mean square absolute percentage error (MAPE). In both the sexes, all the non-linear regression models fitted the data well with high coefficient of determination (R) ranging from 0.99 to 0.89 and 0.99 to 0.91 for male and female respectively. The Brody model provided the best fit of growth curve in both males and females and the lowest fit of growth were provided by Weibull model. We therefore, concluded that the Brody model was favorable for determining body weight in both sexes of Sirohi goat.

摘要

在本研究中,研究了五种非线性混合生长曲线模型用于描述西罗希公母山羊从出生到12月龄体重增长的适用性。使用选定的函数,从布罗迪、冈珀茨、逻辑斯蒂、理查德和威布尔模型中为每只山羊估计生物学相关变量。此外,雄性山羊的渐近活重“A”高于雌性。威布尔模型在两性中观察到的“B”参数值最高,而冈珀茨模型计算出的值最低。雄性的成熟率“K”高于雌性。对于所有模型,公山羊的拐点体重“m”比母山羊重,年龄也比母山羊大。通过考虑以下拟合优度标准确定最佳模型:决定系数(R)、均方误差(RMSE)、平均绝对误差(MAE)和均方绝对百分比误差(MAPE)。在两性中,所有非线性回归模型对数据的拟合都很好,决定系数(R)较高,雄性范围为0.99至0.89,雌性为0.99至0.91。布罗迪模型在公母山羊中均提供了最佳的生长曲线拟合,而威布尔模型提供的生长拟合最差。因此,我们得出结论,布罗迪模型有利于确定西罗希山羊两性的体重。

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Animal. 2008 Jul;2(7):1003-12. doi: 10.1017/S1751731108002206.
2
Dynamics of relative growth.相对生长动力学
Growth. 1965 Sep;29(3):249-63.
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A systematic review of estimation of growth curve in goats.山羊生长曲线估计的系统评价。
Trop Anim Health Prod. 2023 Dec 18;56(1):14. doi: 10.1007/s11250-023-03857-0.
5
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6
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Trop Anim Health Prod. 2023 Oct 23;55(6):371. doi: 10.1007/s11250-023-03785-z.
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Genetic analysis of growth curve in Moghani Sheep using Bayesian and restricted maximum likelihood.应用贝叶斯和约束极大似然法对 Moghani 绵羊生长曲线进行遗传分析。
J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skad203.
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