Table 1 Summary of resistance/susceptibility to fire blight QTL analyses in the pedigree-connected apple reference germplasm set representing 27 important breeding parents (IBPs)

From: Fire blight QTL analysis in a multi-family apple population identifies a reduced-susceptibility allele in ‘Honeycrisp’

Chr.a

Year

BF(1 vs. 0)b

BF(2 vs. 1)c

QTL interval (cM)d

Mode (cM)e

Physical position (Mbp)f

PVE (%)g

6

2016

11.5

0.7

48–58

53

31.22–36.72

15

2017

4.8

−0.2

42–56

49

28.24–35.97

9

7

2016

7.2

2.1

22–32

24

9.11–20.90

10

2017

4.0

0.3

22–32

28

9.11–20.90

9

8

2016

5.4

0.9

40–64

52

21.97–30.88

2017

15.4

3.0

22–40

27

9.42–21.97

15

2016

3.8

0.5

56–76

68

19.23–30.29

6

2017

5.7

0.7

58–82

72

20.09–37.66

7

16

2016

5.2

1.7

0–12

9

0.02–5.14

2017

−0.5

−0.7

  1. Within a year, adjusted shoot length blighted best linear unbiased predictions (SLB BLUPs) were used as phenotypic values in QTL analyses. Results are shown for a single representative FlexQTLTM run within each year (all FlexQTLTM runs presented in Table S1)
  2. aChromosome
  3. bChromosome-wise Bayes factor (2lnBF10) for a 1 QTL vs. 0 QTL model, with BF > 2, 5, and 10 indicating positive, strong, or decisive evidence, respectively, for the presence of one QTL
  4. cChromosome-wise Bayes factor (2lnBF10) for a 2 QTL vs. 1 QTL model, with BF > 2, 5, and 10 indicating positive, strong, or decisive evidence, respectively, for the presence of two QTLs
  5. dQTL interval defined as the bounds of consecutive 2 cM bins (chromosomal segments used by and reported from FlexQTL™) with 2lnBF10 (BF) > 2
  6. eMode of QTL interval, representing the most probable QTL position
  7. fApproximate physical position of QTL interval, from physical positions on GDDH13 v1.1 reference genome (Daccord et al.21) of closest flanking SNPs according to Vanderzande et al.36
  8. gEstimated proportion of phenotypic variance explained by QTL