Phenology (i.e. the influence of environment on ontogeny) is the most
important single factor influencing crop adaptation. The timing of flo
wering is particularly important since it largely determines when annu
al cereal, pulse and oilseed crops will subsequently be ripe for harve
st. Two environmental factors are of overriding importance in the indu
ction of flowering - photoperiod (daylength) and temperature. In seeki
ng to predict times from sowing to flowering, f, it has proved profita
ble to analyse photothermal responses in terms of the rate of progress
from sowing to flowering, 1/f. This paper summarises the advantages o
f a model based on rates rather than the traditional approach based on
f. Over a wide range of photothermal regimes, the model involves just
six coefficients, all of which (and their derivatives) have clearly d
efined biological meaning. Of paramount importance too is that the coe
fficients are not affected by the environment; they are genetic charac
ters which determine phenotypic responses to the environment in a quan
titative and predictable way.