Create Sub-Observation Unit Dataset
Once the observation table for data collection at the plot level has been established, you are able to create additional data collection tables for repeated measures (sub-observations units).
Common repeated measures include:
- Measure individual plants within a plot
- Measure different quadrats within a plot
- Measure the same trait at multiple time points
- Create sub-observation units to take repeated measures.
Define Sub-Observation Units
Example Plant Sub-Sampling
In the following example, a maize breeder is planning to measure the height of 5 plants per plot at maturity.
- Select Plants as the sub-observation units.

- Give the sub-observation data set a unique name. Specify 5 plants per plot. Leave PLANT_NO as the default numbering variable. Choose to sub-sample both study locations and Save.
- Select Add to add plant level trait details.

Each plot now contains 5 rows corresponding to 5 plants per plot.
- Select the trait plant height. The Plants dataset is now ready to accept 5 height measurements corresponding to 5 plants per plot.
Example Custom Sub-Sampling
In the following example, a maize breeder is planning to gather ears of interest from experimental plots to take ear-specific measurements. The breeder doesn't know in advance how may ears will be collected, but expects to collect no more than 7 per plot.
- 'Ears' is not a default sub-sampling option. Select the Custom option and Continue.
- Give the sub-observation data set a unique name.
- Specify 7 ears as the maximum collected per plot.
- Choose a numbering variable. In this case, Obs_NO. Note: custom sub-observations units will not have a corresponding numbering variable until you create one (see details in blue info box below).
- Choose to sub-sample both study locations.
- Save.

- The Ears dataset is now ready to accept 7 ear measurements per plot. Add ear traits to the dataset and Save.
Export Sub-Observation Dataset
- Select Export study book.
- Choose the the sub-observation dataset.
- Export the studybook as a .csv file. When multiple locations are selected the .csv files are exported as a zip file that must be unzipped to reveal contents.
- The .csv file is ready for data entry.
Note: OBS_UNIT_ID is a unique observation id suitable for barcode labeling of individual sub-samples.