A Strategy for Finding the Optimal Scale of Plant Core Collection Based on Monte Carlo Simulation

Table 3

The values of five evaluating parameters in subcore collections constructed by three sampling percentages with 20 traits.

Subcore collection	Sampling percentage	Parameter
		CR	VR	CRmax	CRmin	CRmea
Treat^a	6.07%	83.46	167.13	95.85	97.49	97.54
	10.00%	89.84	152.09	97.55	97.89	99.30
	15.00%	94.88	140.39	98.90	99.53	99.15
CK^b	6.07%	48.91	95.62	92.50	85.35	100.52
	10.00%	56.00	94.51	94.86	85.75	101.05
	15.00%	61.49	94.62	95.36	87.64	100.36

aSubcore collection constructed by LDSS method based on Seuclid distance combining UPGMA cluster method; bsubcore collection constructed by complete random selection.