Snapshot 1: symmetric germination curve with a short lag produced with model A

Snapshot 2: asymmetric germination curve with a short lag produced with model B

Snapshot 3: symmetric germination curve with a long lag produced with model A

Snapshot 4: asymmetric germination curve with a long lag produced with model B

Snapshot 5: incomplete germination curve produced with model A

Snapshot 6: non-sigmoid germination curve produced with model B

The sprouting of seeds plays a major role in agriculture, and the germination of bacterial, yeast, and fungal spores is important in food safety, food processing, and medicine. Although the physiological mechanisms that regulate them are very different, their kinetics typically results in a sigmoid germination curve reminiscent of a growth curve. Consequently, several mathematical growth models [1], noticeably the Gompertz, Weibull, and versions of the logistic equation, have also been used to characterize germination curves.

This Demonstration shows different germination patterns by generating germination curves with two models. Model A (Weibull):

and model B [2]:

, where

is the percent of germinated seeds or spores at time

(

),

is the asymptotic germination level in percent,

is the characteristic time in arbitrary units, and

(

) is a dimensionless shape factor controlling the germination curve’s steepness or span.

Both models satisfy the initial condition

and produce a sigmoid curve when

. They differ primarily in that model B tends to produce germination curves that are more skewed to the right. Also, in model A,

, while in model B,

. The inflection point according to model A is at

, and for model B it is at

.

Choose the germination model by clicking a setter bar. Enter the three germination parameters' values,

,

, and

, with sliders. You can also enter the germination duration with a slider that controls the upper limit of the time axis.