Table 4. Multiple linear regression model for fitness maintenance after leaf removal.

“Spring Temperature” is the average spring temperature in the place of origin of each accession, “Control branches” is the average number of branches produced per accession in the control treatment (an indicator of inflorescence size), and branch ratio is the average number of branches in the removal treatment divided by the number in the control treatment. “Std β” stands for standardized regression coefficient, “p” for probability.

	Enter Full Model
	R2 = 0.82; p<0.001
	Std β	p
Spring Temperature	0.10	0.51
Flowering Time	-0.34	0.03
Control Branches	0.26	0.21
Branch Ratio	1.01	>0.01