【摘 要】
：
作物育种中,鉴定品种适应性的常规做法是将收集齐全的各点产量数字进行多因子的方差分析,求出品种方差和品种交环境的方差,以确定品种的增产潜力和适应性。这种方法在参试品
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作物育种中,鉴定品种适应性的常规做法是将收集齐全的各点产量数字进行多因子的方差分析,求出品种方差和品种交环境的方差,以确定品种的增产潜力和适应性。这种方法在参试品种比较多时,对每个品种的各种方差进行计算是比较繁琐的。而且计算的结果对说明某个品种的适应性并不明确。而回归分析法是在多因子联合方差分析的基础上的改进,它包含了前者的全部内容,能使试验信息更加集中
In crop breeding, it is a common practice to identify the adaptability of cultivars by analyzing the yield of all the collected data by multiple factor analysis of variance (ANOVA) and finding out the variance of varieties and the variances of the varieties to pay for the environment so as to determine the yield potential and adaptability of varieties. This method is more variety in the test, the variety of variance for each species is more complicated calculation. And the calculation of the results of the description of a variety of adaptability is not clear. Regression analysis is based on the multi-factor analysis of variance combined with improvements, it contains all of the former content, can make the test information more focused
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