Phenotypic microarray data for three bacterial BCA that were exposed to six different wavelengths
Data files
Data files
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Principal's reference number:
- SLU.ltv.2024.4.4.IÄ-16
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Six replicates of three bacterial strains were exposed to different wavelengths for 96 hours. Readings were set to occur 0, 6, 10, 24, 30, 48, 54, 72, and 96 h post-inoculation (hpi). Output values were expressed in OmniLog units. The darkness treatment had readings every 15 minutes throughout the 96 hours.
Time method:
Sampling procedure:
Description of sampling:
Under dark conditions, the colour change was recorded automatically every 15 min, while under light exposure, the colour change of the PM panels was recorded according to previously established growth curves. Readings were set to occur 0, 6, 10, 24, 30, 48, 54, 72, and 96 hours post-inoculation (hpi). Output values were expressed in OmniLog units.
Number of individuals/objects:
108
Data format/data structure:
Data collection - Experiment
Data collection - Experiment
Mode of collection:
Experiment
Description of the mode of collection:
Phenotypic microarrays (PM) were performed following procedures described by Gharaie et al. (2017) and Alsanius et al. (2021).
Data collector:
- Swedish University of Agricultural Sciences
Source of the data:
- Research data
- Research data: Published
Instrument
Instrument
Name:
Omnilog
Type:
Technical instrument(s)
Description of the instrument:
Machine used for microbial phenotypic characterization and identification.
Administrative information
Administrative information
Responsible department/unit:
Department of Biosystems and Technology
Contributor(s):
Funding
Funding
Funding agency:
- Swedish farmers’ foundation for agricultural research
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Award number:
R-18-25-006
Award title:
Optimized integrated control in greenhouse systems sees the light
