The germination percentage (GP) is commonly employed to estimate the viability of a seed population. Statistical methods such as analysis of variance (ANOVA) and logistic regression are frequently used to analyse GP data. While ANOVA has a long history of usage, logistic regression is considered more suitable for GP data due to its binomial nature. However, both methods have inherent issues that require attention. In this study, we address previously unexplored challenges associated with these methods and propose the utilization of a likelihood ratio test as a solution. We demonstrate the advantages of employing the likelihood ratio test for GP data analysis through simulations and real data analysis.

发芽率 （GP） 通常用于估计种子种群的生存能力。方差分析 （ANOVA） 和 logistic 回归等统计方法经常用于分析 GP 数据。虽然方差分析的使用历史悠久，但由于其二项式性质，逻辑回归被认为更适合 GP 数据。但是，这两种方法都有需要注意的固有问题。在这项研究中，我们解决了以前未探索的与这些方法相关的挑战，并建议使用似然比检验作为解决方案。我们通过模拟和真实数据分析展示了采用似然比检验进行 GP 数据分析的优势。