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

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

Traitsa Environmentsb Mean SDc Min Max Skew Kurtosis Gd Ed G × Ed h2 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
  1. aPH (Plant height), NN (Number of nodes on main stem), BN (Branch number), DI (Stem diameter) and 100-SW (100-seed weight)
  2. b2016JP, 2017JP and 2017DT represent the environments of Jiangpu in 2016, Jiangpu in 2017 and Dangtu in 2017, respectively
  3. cSD represents standard deviation
  4. dG, E and G × E represent the effect for genotype, environment and genotype × environment interaction, respectively. **Significant at P ≤ 0.01
  5. eh2 (%) represents heritability
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