. 2018 Mar 2;9:53. doi: 10.3389/fgene.2018.00053

Table 1.

Descriptive statistics for the buffalo populations analyzed in the present work.

Species	N.	Breed	pop. label	Country	Region	N. samples pre QC	N. samples post QC	H_O	H_E	N. usable loci	N. polymorphic loci	H_O (corrected)ˆ	H_E (corrected)	F_IS
River buffalo Bubalus bubalis bubalis	1	Mediterranean	RIVIT_MED	Italy		15	15	0.381	0.385	19983	18842	0.359	0.351	0.009
	2	Mediterranean	RIVMZ	Mozambique		7	7	0.411	0.390	20057	16337	0.334	0.295	−0.062
	3	Mediterranean	RIVRO	Romania		13	9	0.401	0.400	19793	18250	0.370	0.348	−0.009
	4	Murrah	RIVPH_IN_MUR	India°		6	4	0.455	0.459	20100	18176	0.412	0.363	0.004
	5	Murrah	RIVPH_BU_MUR	Bulgaria°		11	8	0.422	0.419	20157	19246	0.403	0.375	−0.010
	6	Murrah	RIVBR_MUR	Brazil		15	15	0.413	0.417	19984	19614	0.406	0.396	0.007
	7	Anatolian	RIVTR_ANA	Turkey	Istanbul, Afyonkarahisar (western Anatolia) and Tokat (central Anatolia) Provinces	15	15	0.393	0.409	19498	19068	0.384	0.387	0.038
	8	Egyptian	RIVEG	Egypt		16	15	0.395	0.400	19218	18620	0.383	0.375	0.008
	9	Azari	RIVIR_AZA	Iran	Urmia, West Azerbaijan Province	9	9	0.407	0.411	19815	18865	0.388	0.370	0.006
	10	Khuzestani	RIVIR_KHU	Iran	Ahvaz, Khuzestan Province	10	10	0.387	0.403	19882	18865	0.367	0.363	0.039
	11	Mazandarani	RIVIR_MAZ	Iran	Miankaleh peninsula, Mazandaran Province	8	8	0.402	0.404	19837	18119	0.367	0.346	0.000
	12	Aza Kheli	RIVPK_AZK	Pakistan		3	3	0.481	0.485	20327	17384	0.411	0.346	0.009
	13	Kundhi	RIVPK_KUN	Pakistan		10	10	0.423	0.420	20091	19552	0.412	0.388	−0.009
	14	Nili-Ravi	RIVPK_NIL	Pakistan		15	15	0.422	0.418	19994	19755	0.417	0.399	−0.013
	15	–	RIVCO	Colombia		12	12	0.415	0.424	19936	19596	0.408	0.399	0.019
		Total				165	155
Swamp buffalo Bubalus bubalis carabanensis	16	–	SWAPH	Philippines		15	15	0.302	0.315	18905	16078	0.257	0.259	0.037
	17	–	SWAPH_ADM	Philippines		10	9	0.426	0.414	20029	19451	0.413	0.380	−0.032
	18	Carabao	SWABR_CAR	Brazil		10	10	0.369	0.348	20221	16010	0.292	0.262	−0.064
	19	–	SWATH_THS	Thailand		6	6	0.364	0.373	20341	16433	0.294	0.276	0.026
	20	–	SWATH_THT	Thailand		8	8	0.332	0.355	20332	16653	0.272	0.273	0.067
	21	–	SWACN_ENS	China	Enshi	15	15	0.324	0.332	19858	16141	0.264	0.261	0.021
	22	–	SWACN_FUL	China	Fuling	15	15	0.328	0.333	19950	16104	0.264	0.260	0.014
	23	–	SWACN_GUI	China	Guizhou	11	11	0.327	0.342	20131	16147	0.262	0.262	0.045
	24	–	SWACN_HUN	China	Hunan	15	15	0.328	0.327	19974	16876	0.277	0.267	−0.003
	25	–	SWACN_WEN	China	Wenzhou	3	–	–	–	–	–	–	–	–
	26	–	SWACN_YAN	China	Yangzhou	14	12	0.337	0.336	19424	15864	0.275	0.263	−0.006
	27	–	SWACN_YIB	China	Yibin	15	15	0.324	0.332	19805	16081	0.263	0.261	0.021
	28	–	SWAID_JAV	Indonesia	Java	13	12	0.334	0.342	19376	13453	0.232	0.228	0.019
	29	–	SWAID_NUT	Indonesia	Nusa Tenggara	7	7	0.357	0.377	20223	12453	0.220	0.216	0.055
	30	–	SWAID_SUM	Indonesia	Sumatra	13	12	0.333	0.335	17467	14738	0.281	0.271	−0.005
	31	–	SWAID_SUW	Indonesia	South Sulawesi	11	10	0.334	0.357	20046	13489	0.225	0.228	0.066
Total						181	172
Grand total						333	327

N, number identifying the population on the map shown in Figure 1; pop. label, population label; n. samples pre QC , number of genotypes available before data quality control; n. samples post QC, number of genotypes remaining after data quality control; H_O, observed heterozygosity; H_E, expected heterozygosity; n. usable loci, number of loci with < 5% of missing data; n. polymorphic loci, number of loci that resulted polymorphic in a population; H_O (corrected), observed heterozygosity corrected over the number of usable loci; H_E (corrected), expected heterozygosity corrected over the number of usable loci; F_IS, inbreeding coefficient.