针对林木遗传力估算过于粗放的情况 ,该文以对数正态分布和Γ 分布为例 ,应用模拟数据阐述了非正态分布对林木遗传力估算的影响 .结果表明 :对不满足假定前提的数据直接应用方差分析法估算遗传力 ,会导致估值出现很大偏差 (特别是单株遗传力 ) ,甚至产生遗传力估值为负或大于 1的情况 ;数据转换则是完全必要和可行的 . Aiming at the situation that the heritability of tree heritability is too extensive, the paper uses the logarithmic normal distribution and Γ distribution as an example to illustrate the effect of non-normal distribution on the heritability estimation of forest heritability using the simulation data.The results show that, Data analysis of heritability directly using ANOVA results in large deviations in valuation (in particular, heritability per plant), even with heritability estimates of negative or greater than 1. The data conversion is completely necessary and feasible .