Variable 1

Estimate

DAIC2

P3

Intercept

7.95E+01

-113.2

<0.001

A

1.26E-02

-32.2

<0.001

V × A

9.89E-03

-8.4

0.001

V × A2

-6.63E-06

-25.5

<0.001

V × G

-1.67E+01

-17.5

<0.001

V × S

1.41E+01

-11.7

<0.001

V × A × G

6.35E-03

-8.2

0.001

1Explanatory variables selected in the best-fit model: A, altitude of the source population; V, vernalisation (0, none; 1, yes); G, binary value of the laboratory generation (0, first; 1, second); S, binary value of the subspecies (0, kamchatica; 1, kawasakiana). 2 Difference in AIC between the best-fit model and the model only lacking each variable. Negative values indicate that the model is improved by inclusion of the variable. 3 Wald test.
Table 4: Estimates of the best models to fit flowering time in the 22-°C day temperature treatment with (22/5/22DT) and without (22DT) 5-°C vernalisation for 4 weeks.