Determining the germination speed is essential in experiments in the field of seed technology, as it allows the performance evaluation of a seed lot and the creation of predictive models. To this end, the literature addresses several methods and indexes. The objective of this study was to compare the main methods of emergence speed analysis in seeds, namely the non-linear regression models and the Emergence Speed Index (ESI), with the time-to-event models. The research was conducted with peach palm seeds (Bactris gasipaes) that were measured for viability and vigour through daily evaluations for 4 months. Vigour was evaluated by the quantification of the seed emergence speed, which was performed in three ways: ESI, non-linear regression and non-linear regression considering germination as a time-to-event event. From the results obtained, we conclude that the ESI is not a good indicator to evaluate the emergence speed; the non-linear regression model underestimates the errors and, thus, increases the probability of misclassifying treatments; the time-to-event model is more reliable in classifying treatments according to the emergence speed.

确定发芽速度在种子技术领域的实验中至关重要，因为它允许对种子批次进行性能评估和创建预测模型。为此，文献提出了几种方法和指标。本研究的目的是比较种子出苗速度分析的主要方法，即非线性回归模型和出苗速度指数 (ESI)，与事件发生时间模型。该研究是用桃棕榈种子（Bactris gasipaes) 通过为期 4 个月的每日评估来测量生存能力和活力。活力是通过种子出苗速度的量化来评估的，它以三种方式进行：ESI、非线性回归和将发芽视为事件时间事件的非线性回归。从获得的结果来看，我们得出结论，ESI 并不是评价出现速度的好指标；非线性回归模型低估了误差，因此增加了错误分类治疗的可能性；事件发生时间模型在根据出现速度对治疗进行分类时更可靠。