Table 2. Horse breeds included in this study.

breed	ID	origin	N	H	RS (N = 17)	U	FIS	reference
Akhal Teke	AT	Turkmenistan	55	0.700	6.09	3	0.069	[33]
Connemara	CO	Ireland (west)	45	0.731	5.73	0	−0.052	[33]
Dales	DL	England (north)	42	0.653	5.11	0	−0.076	[33]
Exmoor	EX	England (southwest)	98	0.611	4.09	1	0.006	[33]
Garrano	GR	Portugal	37	0.763	6.56	0	0.067	[33]
Haflinger	HF	Austria (Tyrol)	45	0.634	4.54	0	0.019	[33]
Lusitano	LU	Portugal	52	0.690	5.57	1	0.022	[33]
Shetland Pony	SP	Scotland (Shetland Islands)	36	0.666	5.22	0	0.000	[33]
Suffolk Punch	SU	England (southeast)	41	0.724	5.49	1	0.084	[33]
Comtois	COM	France (east)	33	0.664	5.16	2	−0.012	[32]
Asturcón	AST	Spain (northwest)	119	0.733	5.79	1	−0.009	[23]
Jaca Navarra	JNA	Spain (north)	122	0.729	5.98	3	0.035	[23]
Losino	LOS	Spain (north)	66	0.704	5.79	0	−0.022	[23]
Caballo Gallego	PGL	Spain (northwest)	72	0.762	6.82	4	0.060	[23]
Pottoka	POT	Spain (north)	51	0.775	6.52	0	0.043	[23]
Altmark Draught	AMD	Germany (east)	31	0.647	4.89	0	−0.009	New data
Caspian Horse	CAS	Iran	30	0.770	6.70	2	−0.002	New data
Camargue	CMG	France (south)	22	0.776	6.43	1	0.111	New data
Highland Pony	HIG	Scotland	25	0.687	5.03	0	−0.033	New data
Hucul	HUP	Carpathian Mountains	17	0.694	5.55	0	0.103	New data
Posavina	POS	Croatia	24	0.695	5.58	0	−0.062	New data
Schleswig Draught	SDH	Germany (north)	22	0.693	4.59	1	−0.041	New data
Noriker	NOS	Austria	26	0.652	5.08	0	0.036	New data
Bilgoraj	BLG	Poland	28	0.724	5.19	na	−0.015	[31]

N  =  sample size, H  =  Nei's gene diversity, R _S  =  allelic richness, U  =  number of private alleles, F _IS =  inbreeding coefficient, na  =  not determined because dataset could not be aligned with the rest due to lack of reference samples.