Selvaggi Maria, Laudadio Vito, D'Alessandro Angela Gabriella, Dario Cataldo, Tufarelli Vincenzo
Department DETO - Section of Veterinary Science and Animal Production, University of Bari 'Aldo Moro', Valenzano, BA, Italy.
Department of Agro-Environmental and Territorial Sciences, University of Bari 'Aldo Moro', Bari, Italy.
Anim Sci J. 2017 Aug;88(8):1128-1133. doi: 10.1111/asj.12726. Epub 2016 Dec 7.
Animal growth does not follow a linear pattern, being explained mathematically by functions that have parameters with biological meaning. These parameters are used to estimate the expected weight of animals at specific ages. Several nonlinear models have been used to describe growth. This study was carried out to estimate the parameters of logistic, Gompertz, Richards and von Bertalanffy growth curve models in a sample of Podolica young bulls to determine the goodness of fit. Animals were weighed every 3 months from birth to 810 days of age. The results indicate that all the growth models used were easily fitted to the observed data with Gompertz and logistic functions presenting less computational difficulty in terms of number of iterations to achieve convergence. Moreover, logistic and Richards equations provided the best overall fit being useful to describe the growth of Podolica bulls. Considering that the literature lacks information on growth curves in Podolica breed, the study of a mathematical model for growth describing the developmental pattern of a specific population within a peculiar environment is a useful tool to improve Podolica breed production.
动物生长并非遵循线性模式，而是由具有生物学意义参数的函数以数学方式来解释。这些参数用于估计动物在特定年龄的预期体重。已使用多种非线性模型来描述生长。本研究旨在估计一批波多利卡小公牛样本中逻辑斯蒂、冈珀茨、理查兹和冯·贝塔朗菲生长曲线模型的参数，以确定拟合优度。从出生到810日龄，每隔3个月对动物进行称重。结果表明，所使用的所有生长模型都很容易拟合观测数据，冈珀茨和逻辑斯蒂函数在实现收敛所需的迭代次数方面计算难度较小。此外，逻辑斯蒂和理查兹方程提供了最佳的整体拟合，有助于描述波多利卡公牛的生长。鉴于文献中缺乏关于波多利卡品种生长曲线的信息，研究一个描述特定环境中特定种群发育模式的生长数学模型是提高波多利卡品种产量的有用工具。
