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Table 5 Descriptive statistics for seed-related traits in the two parents and F2 population

From: Construction of the first high-density genetic linkage map and identification of seed yield-related QTLs and candidate genes in Elymus sibiricus, an important forage grass in Qinghai-Tibet Plateau

Trait

Year

Parents

F2 Population

Y1005

ZhN06

Max

Min

Mean

SD

CV (%)

Skewness

Kurtosis

Heritability (h2)

SL (cm)

2016

11.10

14.30

17.87

6.20

11.14

2.25

20.18%

0.439

0.412

0.6227

2017

15.10

19.26

20.50

4.20

14.50

3.12

21.54%

−0.429

0.018

2018

14.31

18.17

20.20

6.57

14.29

2.87

20.11%

−0.247

− 0.359

FN (No.)

2016

81.67

112.33

183.33

13.00

70.62

41.01

58.08%

0.864

0.098

0.4638

2017

60.60

108.40

139.60

14.00

68.13

17.99

26.41%

0.138

1.065

2018

68.50

109.88

122.50

20.50

69.24

20.27

29.27%

0.535

0.138

SS (gf)

2016

9.52

12.98

18.80

5.14

11.34

2.75

24.21%

0.651

0.275

0.5235

2017

9.33

17.61

20.68

5.66

11.30

2.84

25.14%

0.625

0.443

2018

9.36

16.84

19.62

6.53

11.61

2.78

23.92%

0.667

0.138

SSD (%)

2017

27.93

15.55

35.86

0.00

18.19

0.06

35.67%

0.077

0.194

SSC

2016

1.0

4.0

5.0

1.0

3.11

0.91

29.16%

−0.288

−0.375

0.6718

2017

1.0

4.0

5.0

1.5

3.41

0.75

21.90%

−0.355

− 0.477

2018

1.0

4.0

5.0

1.5

3.27

0.71

21.63%

−0.292

− 0.295

AL (mm)

2016

12.29

9.88

13.09

6.66

9.95

1.46

14.67%

−0.171

−0.556

0.5281

2017

11.67

10.35

13.91

5.44

9.41

1.29

13.76%

0.011

0.464

2018

11.96

10.29

12.70

6.23

9.54

1.21

12.65%

−0.205

0.128

WS (mm)

2016

1.60

1.59

1.92

1.19

1.57

0.13

8.42%

−0.113

0.089

0.5086

2017

1.60

1.30

1.76

1.06

1.51

0.12

7.63%

−0.931

2.367

2018

1.58

1.37

2.02

1.15

1.52

0.11

7.24%

−0.397

3.113

SW1 (g)

2016

3.02

2.32

3.62

0.50

1.97

0.66

33.44%

0.231

−0.635

0.5420

2017

4.75

3.41

5.70

2.37

4.47

0.54

12.05%

−0.665

1.216

2018

3.89

2.87

5.62

1.98

3.62

0.68

18.75%

0.526

0.342

  1. SD standard deviation, CV coefficient of variation, SL spike length, FN floret number per spike, SS seed shattering, SSD seed shattering assessed by dropping from a height, SSC classification of seed shattering, AL awn length, WS width of seed, SW1 1000 seed weight