A dataset containing data from a greenhouse experiment with maize in the Phenoarch platform (INRAE, France, Cabrera-Bosquet et al. 2016). It consists of one experiment with 1,671 plants grown in a greenhouse under two water scenarios, well-watered (WW) and water deficit (WD). There are two populations of genotypes, panel 1 and panel 2. Panel 1 contains 60 genotypes with 14 replicates: 7 in WW and 7 in WD. Panel 2 contains 30 genotypes with 8 replicates, 4 in WW and 4 in WD. The studied trait is the leaf area extracted from the pictures over time (LeafArea). Plants were pictured every day for 33 days. This dataset was kindly provided by Llorenç Cabrera-Bosquet and Claude Welcker.
Format
A data.frame with 42,536 rows and 14 columns:
- Date
Date of measurement
- pos
Unique pot using rowcol coordinate
- Genotype
Genotype
- Scenario
Water regime, WW or WD
- population
Panel 1 or 2
- Row
Pot position on the conveyor belt (i.e. row coordinate)
- Col
Line of conveyor belt (i.e. column coordinate)
- Biomass
Biomass from the picture
- LeafArea
Leaf area from the picture
- PlantHeight
Plant height from the picture
- LeafCount
Number of leaves manually scored
- phyllocron
Leaf emission rate
References
Cabrera-Bosquet, Llorenç, Fournier Christian, Brichet Nicolas, Welcker Claude, Suard Benoît, and Tardieu François. 2016. “High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform.” New Phytologist 212 (1): 269-81. doi:10.1111/nph.14027