黄牛体尺差异性分析方法的研究

A COMBINED ALGORITHM ON ANALYSING THE BODY MEASURES BETWEEN YELLOW CATTLE VARIETIES

本研究借助于IBM电子计算机、运用最小二乘分析、主成分分析和聚类分析法对较复杂、难以直观分析的7个黄牛品种的8项体尺资料,经过一系列完整的处理运算,最终给出了形象逼真,使人容易理解和分析的简化形式的数据结构和图形,从而容易揭示出一些有意义的规律。研究结果把7个黄牛品种依体格大小分为大、中、小三种类型群,这与现存事实基本相符,借此方法可大大提高比较品种差异的准确性。

A consecutive algorithm involving least squares, major component and cluster analysises, designed to processing eight body measures of 743 animals from 7 yellow cattle breeds, has given a set of figures of genetic distances with precise results that told the differences between local varieties. This way of algorithm was suggested to analyse the Chinese cattle genetics.