Growth curve estimation in pure goat breeds and crosses of first and second generation in Tunisian oases

A. Gaddour, M. Ouni, S. Najari
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引用次数: 7

Abstract

Five non-linear statistical models were tested to fit the growth curve parameters of the kids of indigenous, Alpine and Damascus goats and their crosses. Data from 16 years’ periodical weight study was used to adjust the growth curve of 1,687 suckling kids before they attained the age of five months. Among the tested models, the iterative procedure made it possible for the Gompertz model to be identified as the best for use to adjust kids’ growth evolution. Brody, Richards, Logistic and Polynomial models showed some convergence problems of accuracy. Curve parameters were fitted by Gompertz model after about 16 iterations with a coefficient of determination (CD) value of 71%. Growth parameters were established by genetic groups and the shape of the curve changed with kids’ genotypes. Crossbreeding allowed for a better growth kinetic in indigenous kids. After birth, kids’ weights increased rapidly to an asymptotic weight at an early age. The best growth performances were obtained in the first generation of crossbreeding due to heterosis. The growth curve adjustment helped in better flock management and in the fattening of kids according to the potentialities of each genotype.
突尼斯绿洲纯种山羊和一、二代杂交山羊的生长曲线估计
采用5种非线性统计模型拟合土羊、高山山羊和大马士革山羊及其杂交山羊子代的生长曲线参数。采用16年定期体重研究的数据,对1687名未满5个月的哺乳儿童的生长曲线进行了调整。在被测试的模型中,迭代过程使得Gompertz模型有可能被确定为最适合用于调整儿童的生长演变。Brody, Richards, Logistic和多项式模型显示了一些精度的收敛问题。经过约16次迭代,曲线参数采用Gompertz模型拟合,决定系数(CD)为71%。按基因组确定生长参数,曲线形状随儿童基因型的不同而变化。杂交使土著儿童有更好的生长动力。出生后,儿童的体重在早期迅速增加至渐近体重。由于杂种优势,第一代杂交获得了最好的生长性能。根据各基因型的潜力,调整生长曲线有助于更好地管理羊群和育肥雏鸡。
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