Crop-photoperiodism model 2.0 for the panicle-initiation date of sorghum and rice that includes daily changes in sunrise and sunset times
Background and Aims Daylength determines flowering dates. However, questions remain regarding flowering dates in the natural environment, such as the synchronous flowering of plants sown simultaneously at highly contrasting latitudes. The daily change in sunrise and sunset times is the cue for th...
| Main Authors: | , , , , , , , , , , |
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| Format: | article |
| Language: | Inglés |
| Published: |
Cold Sprimg Harbor Laboratory (CSH)
2024
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| Subjects: | |
| Online Access: | https://www.biorxiv.org/content/10.1101/2020.11.29.402628v1.full http://hdl.handle.net/20.500.12324/40211 https://doi.org/10.1101/2020.11.29.402628 |
| Summary: | Background and Aims
Daylength determines flowering dates. However, questions remain regarding flowering dates
in the natural environment, such as the synchronous flowering of plants sown simultaneously
at highly contrasting latitudes. The daily change in sunrise and sunset times is the cue for the
flowering of trees and for the synchronisation moulting in birds at the equator. Sunrise and
sunset also synchronise the cell circadian clock, which is involved in the regulation of
flowering. The goal of this study was to update the photoperiodism model with knowledge
acquired since its conception.
Methods
A large dataset was gathered, including four 2-year series of monthly sowings of 28 sorghum
varieties in Mali and two 1-year series of monthly sowings of eight rice varieties in the
Philippines to compare with previously published monthly sowings in Japan and Malaysia,
and data from sorghum breeders in France, Nicaragua, and Colombia. An additive linear
model of the duration in days to panicle initiation (PI) using day length and daily changes in
sunrise and sunset times was implemented.
Key Results
Simultaneous with the phyllochron, the duration to PI of field crops acclimated to the mean
temperature at seedling emergence within the usual range of mean cropping temperatures. A
unique additive linear model combining daylength and daily changes in sunrise and sunset
hours was accurately fitted for any type of response in the duration to PI to the sowing date
without any temperature input. Once calibrated on a complete and an incomplete monthly
sowing series at two tropical latitudes, the model accurately predicted the duration to PI of the
concerned varieties from the equatorial to the temperate zone.
Conclusions
The results of the updated photoperiodism model strongly supported the hypothesis that
photoperiodism could be a combined response to day length and daily changes in sunrise and
sunset times. |
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