Genome-wide association studies of plant architecture-related traits and 100-seed weight in soybean landraces

BMC Genomic Data

Table 1 Descriptive statistics, ANOVA and heritability (h²) for the four plant architecture-related traits and 100-SW across multiple environments

Traits^a	Environments^b	Mean	SD^c	Min	Max	Skew	Kurtosis	G^d	E^d	G × E^d	h^{2 e}(%)
PH	2016JP	45.43	15.73	21.64	95.56	0.96	0.23	**	**	**	88.85
	2017JP	74.67	30.51	27.11	184.33	0.91	0.76
	2017DT	100.78	38.37	24.00	249.33	0.72	1.15
NN	2016JP	15.54	3.96	9.11	28.00	0.75	0.03	**	**	**	93.53
	2017JP	17.87	4.39	10.00	28.33	0.16	−0.90
	2017DT	18.41	4.17	10.00	28.83	−0.05	−0.64
BN	2016JP	2.83	1.16	0.56	7.33	0.85	1.70	**		**	65.17
	2017JP	2.68	1.14	0.00	6.00	0.20	0.15
	2017DT	2.72	1.25	0.17	6.67	0.83	1.38
DI	2016JP	4.57	0.94	2.90	8.85	1.09	2.64	**	**	**	67.39
	2017JP	6.20	1.29	3.86	9.56	0.66	−0.09
	2017DI	6.83	1.27	3.74	11.01	0.28	0.34
100-SW	2017JP	14.44	4.29	5.34	34.25	0.97	2.59	**		**	98.66
	2017DI	14.43	4.55	3.76	37.23	1.09	4.00	**		**	98.66

^aPH (Plant height), NN (Number of nodes on main stem), BN (Branch number), DI (Stem diameter) and 100-SW (100-seed weight)
^b2016JP, 2017JP and 2017DT represent the environments of Jiangpu in 2016, Jiangpu in 2017 and Dangtu in 2017, respectively
^cSD represents standard deviation
^dG, E and G × E represent the effect for genotype, environment and genotype × environment interaction, respectively. **Significant at P ≤ 0.01
^eh² (%) represents heritability

ISSN: 2730-6844