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Table 3 Number and characteristics of QTL identified for turf quality traits under both individual and across environments

From: High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits

Traita

Environmentb

LG

Peak position (cM)

Interval

(cM)c

Nearest marker

LODd

Explained variance (%)e

Aff

Amf

Df

LT

Across

LG2

174.09

173.09–176.09

SSR16939

4.22 (3.90)

16.50

0.1401

0.2081

0.1172

  

LG3

38.27

38.27

SSR3677

4.66 (3.90)

18.00

−0.2001

0.0028

0.1264

  

LG3

54.93

54.93

SNP33683

3.94 (3.90)

15.50

−0.0540

− 0.2100

0.0819

  

LG5

90.54

90.54

SSR14922

4.49 (3.90)

17.40

0.1776

0.1610

0.1160

LT

LW2013

LG8

52.79

52.79

SSR4549

4.86 (3.90)

18.70

−0.1607

− 0.2487

0.0118

LT

LS2013

LG2

80.90

72.61–80.90

SSR2502

4.25 (3.90)

16.60

1.3367

1.1968

−1.1999

  

LG2

122.33

111.13–131.80

SNP41141

4.45 (3.90)

17.30

0.2548

0.0976

−0.1621

  

LG2

162.83

162.83

SNP8925

4.12 (3.90)

16.10

−0.0877

0.3335

−0.0271

  

LG3

38.27

38.27

SSR3677

4.61 (3.90)

17.90

−0.2474

0.0275

0.1660

  

LG5

90.54

90.54

SSR14922

4.49 (3.90)

17.40

1.2973

1.1994

−1.2529

LT

LW2015

LG3

47.03

47.03–54.94

SNP49855

3.98 (3.90)

15.60

−0.0363

− 0.2124

0.1925

TQ

Across

LG3

38.27

37.55–40.55

SSR3677

5.27 (3.80)

20.10

−0.2451

−0.0453

0.1486

  

LG3

53.57

53.57

SSR27743

5.60 (3.80)

21.20

−0.2276

−0.0420

0.2049

  

LG8

40.44

37.26–42.44

SNP48740

6.14 (3.80)

23.00

−0.3092

−0.2039

0.0069

TQ

LW2013

LG3

38.27

38.27

SSR3677

3.83 (3.80)

15.10

−0.2217

0.0234

0.1623

  

LG3

53.57

53.57

SSR27743

4.24 (3.80)

16.50

−0.2159

0.0178

0.2231

  

LG3

79.76

79.76

SSR4343

4.66 (3.80)

18.00

−0.3087

−0.0263

−0.1565

TQ

LS2013

LG3

38.12

35.66–38.97

SNP41416

5.07 (3.80)

19.40

−0.2549

−0.0424

0.2803

  

LG8

39.44

38.08–40.44

SNP48740

4.34 (3.80)

16.90

−0.3661

−0.1268

0.0909

TQ

LW2015

LG8

40.44

36.71–45.4

SNP48740

5.76 (3.90)

21.80

−0.3047

−0.2754

− 0.0340

  

LG8

49.92

48.04–50.27

SNP15495

4.62 (3.90)

17.90

−0.1179

−0.2903

− 0.0439

  

LG8

53.79

53.80–53.83

SSR4549

4.11 (3.90)

16.10

−0.1321

−0.3470

− 0.0941

GC

Across

LG5

74.82

74.24–74.82

SNP54683

4.58 (3.90)

17.70

0.2695

−0.0548

0.1544

  

LG5

81.83

81.61–82.01

SNP35732

4.79 (3.90)

18.50

0.2814

−0.0202

0.2095

  

LG8

41.44

36.13–50.27

SNP48740

6.23 (3.90)

23.30

−0.2638

−0.2916

− 0.0944

GC

LW2013

LG1

102.07

100.40–102.08

SNP19531

4.30 (3.90)

16.80

0.0070

−0.3357

0.2061

  

LG5

81.89

74.82–82.09

SNP61660

4.35 (3.90)

16.90

0.3767

0.0233

0.1659

  

LG8

42.44

41.44–42.44

SNP27553

4.01 (3.90)

15.70

−0.2456

−0.3268

−0.1035

GC

LS2013

LG2

167.00

165.83–170.09

SSR17849

4.78 (4.00)

18.40

−0.2383

0.1909

0.0964

  

LG2

104.65

104.65

SNP32405

4.03 (4.00)

15.80

0.0887

−0.1759

0.1056

  

LG3

68.23

68.23–68.24

SNP47138

4.13 (4.00)

16.10

−0.0678

−0.2228

− 0.0162

  

LG3

75.23

75.23–76.33

SNP57077

4.69 (4.00)

18.10

0.1176

−0.2174

0.1139

  

LG3

87.80

87.80

SNP32773

6.64 (4.00)

24.70

−0.1995

0.2065

0.2110

  

LG5

71.77

62.44–74.24

SNP58680

4.59 (4.00)

17.80

0.2795

−0.3020

0.1802

  

LG8

38.08

38.08–42.44

SSR4381

5.12 (4.00)

19.60

−0.1583

−0.0569

− 0.1734

  

LG9

95.48

90.12–97.79

SNP21678

4.88 (4.00)

18.80

0.1195

−0.2410

−0.0226

GC

LW2015

LG1

102.07

102.07–102.08

SNP19531

4.09 (3.90)

16.00

−0.0289

−0.3180

0.2213

  

LG8

41.44

32.50–50.27

SNP48740

5.64 (3.90)

21.40

−0.3007

−0.4067

− 0.0704

TD

Across

LG3

38.27

37.55–40.15

SSR3677

4.94 (3.60)

19.00

−0.3769

−0.1477

0.0900

  

LG3

53.57

53.57

SSR27743

4.80 (3.60)

18.50

−0.3396

−0.0607

0.2076

  

LG4

56.52

45.22–56.52

SNP5638

4.11 (3.60)

16.10

0.1477

0.3091

0.0777

  

LG8

38.08

38.08

SSR4381

4.45 (3.60)

17.30

−0.2515

−0.1588

−0.1873

  

LG8

56.38

56.38–56.62

SNP38207

4.20 (3.60)

16.40

−0.0725

−0.2320

− 0.3113

TD

LW2013

LG3

53.57

53.57

SSR27743

3.86 (3.80)

15.20

−0.3145

−0.0217

0.2322

TD

LS2013

LG3

38.39

28.80–40.55

SNP11022

5.82 (3.70)

22.00

−0.3024

−0.2121

0.3327

  

LG3

53.57

53.57

SSR27743

4.29 (3.70)

16.70

−0.3753

−0.1512

0.2056

  

LG4

45.84

39.32–56.52

SNP44515

4.23 (3.70)

16.50

0.2514

0.4000

−0.0119

  

LG8

38.31

38.08–40.44

SNP7787

4.69 (3.70)

18.10

−0.4282

−0.2314

− 0.0490

  1. a Turf quality related traits evaluated in this study. LT = leaf texture; TQ = turf quality; GC = genetic color; TD = turf density
  2. b From Kimball et al. (2018): LW 2013 = Raleigh, NC in 2013, LW 2015 = Raleigh, NC in 2015, LS 2013 = Laurel Springs, NC in 2013, Across = combined analysis across environments
  3. c Regions with a LOD score above threshold values were considered as potential QTL interval
  4. d Genome-wide LOD threshold in parentheses
  5. e Percentage of phenotypic variation explained by the QTL
  6. f Allelic effects were estimated as Af = [(μac + μad) - (μbc + μbd)]/4 for female (Raleigh) additivity; Am = [(μac + μbc) - (μad + μbd)]/4 for male (Seville) additivity and D = [(μac + μbd) - (μad + μbc)]/4 for dominance where μac, μad, μbc and μbd are estimated phenotypic means associated to each of the 4 possible genotypic classes ac, bc, ad and bd, deriving for an ab × cd cross. Positive value indicates alleles increase the trait value