The main idea of the germination app is to determine when a
plant or group of plants reached a certain threshold. This threshold can be any
of the
growth parameter (e.g. a certain minimum height to detect germination or
also a certain average color to quantify flowering date).
After you made your selection of the experiment and applied
the desired filtering, aggregation and grouping in the overview you can either
use the Boxplot view in the germination app to get an overview for all sample groups
(unique combination of genotype and treatment) or you can use the Map view to
get feedback when individual units have reached the desired threshold.
Before going into detail on the two views inside the
germination app let’s quickly open the settings bar and have a look at what
settings can be made to change the analysis. To do that, open the Map View of
the Germination App and then open the settings bar on the right hand side of
the screen.

There are two settings that you can change inside this
analysis app. The first is the value of the threshold. The idea of this
threshold is that a plant is germinated when it has a measurement value above
the threshold. The threshold is always in the unit of the parameter that you
have currently selected. You can see and also change that parameter in the
center of the canvas below the progress bar. If you are not sure about the
values that you see just click on the histogram button.

The histogram you now see is a distribution of the selected
value across the entire dataset you have selected for analysis. The red line
shows the threshold that you have set.
The second setting that you can change is the Threshold
Occurance. The idea of this setting is that you can choose if you want to pick
the date on which a unit has first reached the threshold or the last time it
crossed the threshold.
To understand this better simply select last and click on
one of the units in the center of the canvas (ideally one that does show a
germination date). You should see a growth curve like displayed below with the
selected parameter on the Y axis and the days after start of analysis (DAS) on
the X axis. The dashed red line represents the threshold that you set and the
green line shows the recoreded data for this specific unit. You can see in the
example below that the first time the threshold was reached was around 6 DAS.
However, after this the plant shortly goes below the threshold again. Finally,
at 7.7 DAS it goes above the threshold and stays above it. Hence, if we choose
first as the Threshold Occurance it will give 6 DAS as a result as this was the
first time the unit was above threshold. If we set Threshold Occurance to last
it will give 7.7DAS as indicated in the example below because it was the last
time when the data crossed the threshold line.

These settings are the same for both views. Let’s therefore
explain the views in detail now.
The Boxplot
The boxplot view visualizes the spread of germination within
one sample group. It can be used to see how homogenous the threshold is reached
within one sample group or what the difference of germination date is between
sample groups. The wider the spread of the boxplot the more variance there was
within the germination. Plants that did not reach the threshold will not be
considered on the plot.
The example below shows a set of 8 genotypes and 2 treatments
(16 sample groups). On the X axis you see the absolute germination date. For
each sample group a boxplot is shown. The centre line in the boxplot shows the
date when 50% of the sample group germinated. The lower and upper ends of the
box represents the 25% and 75% quantiles. The whiskers represent the 1.5x
interquantile distance form the median.

The Map
The map view shows on a color scale when individual units
reached the threshold for each block of the experiment. Especially for trays
with many samples this view can be nice to visualize what units reached the
threshold when. The result is shown in days after start of analysis (DAS). If
the value is Infinite (inf) the unit never reached the threshold. If there are
multiple blocks ins your experiment you can change the current displayed block
in the settings bar on the right hand side in the visualization options.
