期刊论文

中文

畜牧兽医学报

0366-6964

2007

38

2

139-143

10.3321/j.issn:0366-6964.2007.02.007

湖南农业大学人才基金项目（06WD01）；

本校为第一机构

用随机回归模型对507头中国荷斯坦奶牛的第1胎日产奶量进行了分析，将时间配合勒让德多项式作为自变量，再用平均信息约束最大似然法（AIREML）进行估计。然后通过协方差函数对时间轴上的时间点间估计协方差值，再用Excel绘制三维图。结果表明：配合M6-5-10时，能对月间隔的测定日产奶量数据进行分析，并能反映出整个时间轴上的加性遗传效应和永久环境效应的变异，且能得到光滑的三维图形。降价配合涉及的参数比较少，同时能够很好地缓和协方差函数估计值间的差异。

Data of 507 Holstein dairy cows were used to estimate covariance functions by the random regression model for test-day records of the first lactation as function-valued traits. The model with Legendre polynomials of age as independent variances was used restricted maximum likelihood employing the average information algorithm （AIREML）. After estimating the covariance functions of the meta-meter, the 3-D graphs were made by the Excel. The result showed that when the order of polynomial fit M6-5-10, the changes for yields were described adequat...