Table 2.

Admixture components allow predicting several quantitative functional traits in M. truncatula. (a) Linear model between admixture components and final plant height before harvest. (b) Linear model between admixture components and number of leaves at about 2 weeks. (c) Linear model between admixture components and number of nodules below 5 cm of root growth. (d) Linear model between admixture components and number of nodules in top 5 cm of roots. (e) Linear model between admixture components and total number of nodules. Raw data from Stanton-Geddes et al. [73]

	Estimate	Std. error	t value	Pr (. > |t|)
(a)
Intercept	14.1608	0.3506	40.39	0.0000
South Tunisian Coastal	5.7582	1.1345	5.08	0.0000
Greek	3.6659	0.6954	5.27	0.0000
North Tunisian Coastal	5.0274	1.1228	4.48	0.0000
Spanish Coastal	3.7344	0.9770	3.82	0.0002
r2 = 0.21. P = 1.5 × 10−11
(b)
Intercept	2.8234	0.0444	63.54	0.0000
French	− 0.4447	0.1482	− 3.00	0.0030
Atlas	0.1995	0.1007	1.98	0.0488
r2 = 0.05. P = 7.3 × 10−4
(c)
Intercept	14.7805	0.5198	28.44	0.0000
Spanish Coastal	5.0685	1.7406	2.91	0.0040
South Tunisian Coastal	− 4.9235	2.0711	− 2.38	0.0183
r2 = 0.06. P = 4.2 × 10−4
(d)
Intercept	5.1755	0.2108	24.55	0.0000
South Tunisian Coastal	− 2.4748	0.7870	− 3.14	0.0019
Spanish Coastal	2.6320	0.6618	3.98	0.0001
Algiers	3.1375	0.8330	3.77	0.0002
r2 = 0.15. P = 1.1 × 10−8
(e)
Intercept	19.7448	0.6824	28.93	0.0000
Spanish Coastal	7.9483	2.1422	3.71	0.0003
South Tunisian Coastal	− 7.1137	2.5473	− 2.79	0.0057
Algiers	5.3812	2.6964	2.00	0.0472
r2 = 0.10. P = 6 × 10−6