Many studies concerning photoperiodic sensitivity of rice plants have been conducted under constant daylength. However, since daylength fluctuates periodically during the year, we examined photoperiodically sensitive rice under natural daylength (and constant air temperature) to predict heading time using meteorological data.
Six cultivars of rice plants were sown at two-week intervals for one year in a green house. Air temperature was maintained at a constant 24 degrees C during the year, but water temperature decreased during winter.
Cultivars sown between August and February were nearly constant in number of days required from emergence to heading. However, cultivars sown between March and July required more time, and results among cultivars were in consistent.
From these results, the authors propose the following equation:
Σ
hi=1T
i-S=Σ
hi=a+1f(L
i)
where
Ti is water temperature,
Li is daylength on the
i-th day,
S is accumulated water temperature from emergence to heading under short daylength,
a is the date on which rice plants start to sence daylength and
h is heading date,
f(L) was calculated by non-parametric DVR methods.
In conclusion, this model can be transformed into the developmental index (DVI) which is the sum of the developmental rates (DVR). And the developmental rate was constant when daylength was shorter than critical one. Over this critical value, however, the developmental rate decreased in direct proportion to daylength.
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