Department of Animal Science, Federal Rural University of the Semi-arid Region (UFERSA), Rodovia BR 110, Km 47, Mossoró, Rio Grande do Norte, 59625-900, Brazil.
Department of Animal Science, La Laguna University, Tenerife, Canary Islands, Spain.
Trop Anim Health Prod. 2021 Mar 7;53(2):198. doi: 10.1007/s11250-021-02598-2.
In the present study, 1060 body weight-age records were measured on 300 Canindé goats. The records were collected from Rio Grande do Norte state, North-eastern part of Brazil, and used for evaluation of non-linear models (Brody, Von Bertalanffy, Logistic, and Gompertz) describing growth curve in goats. The non-linear models were compared applying mean squared error of prediction (MSEP), mean squared residue (MSR), mean absolute deviation (MAD), adjusted coefficient of determination (Raj), and convergence percentage (%C) for determining the most appropriate model describing the growth curve in Canindé goats. The absolute growth rate (AGR) was estimated based on the adjusted model as a function of time to describe the growth rate of the animals, and the effect of sex on the curve parameters was assessed. The Brody model was the most indicated to represent the average growth curve of Canindé goats. Furthermore, the growth curves estimated by the models under study show that the Brody model displayed the best fit, indicating a greater association between observed and estimated weights, suggesting that it can be used to describe the growth behavior and development of the animals analyzed of both sexes.
在本研究中，对 300 只 Canindé 山羊的 1060 个体重-年龄记录进行了测量。这些记录来自巴西东北部的北里奥格兰德州，用于评估描述山羊生长曲线的非线性模型（Brody、Von Bertalanffy、Logistic 和 Gompertz）。通过预测均方误差（MSEP）、残差均方（MSR）、平均绝对偏差（MAD）、调整决定系数（Raj）和收敛百分比（%C）来比较非线性模型，以确定最适合描述 Canindé 山羊生长曲线的模型。根据调整后的模型，基于绝对生长率（AGR）作为时间的函数来估计平均生长率，评估性别对曲线参数的影响。Brody 模型最适合代表 Canindé 山羊的平均生长曲线。此外，研究中估计的生长曲线表明，Brody 模型的拟合效果最好，表明观察到的和估计的体重之间有更好的相关性，表明它可以用于描述所分析的两性动物的生长行为和发育。
