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Table 1 QTL mapped for the blush, soluble solids concentration (SSC), and titratable acidity (TA) traits evaluated in different environments (CA11, CA12, TX12, TX13), and the overall combined mean for 143 peach seedlings

From: Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach

 

2ln(BF)

Trait

MCMC

Records

μ

σ2p

σ2e

σ2A

h2

LG

1/0

2/1

3/2

Blush-CA11

150,000

103

3.08

0.56

0.38

0.18

0.32

1

2.6

0.6

0.3

Blush-CA12

150,000

138

2.79

0.60

0.29

0.31

0.52

4

13.2

1.1

0.8

        

5

2.4

1.8

0.0

        

6

3.9

1.0

−0.2

Blush-TX12

150,000

62

3.18

0.62

0.41

0.20

0.33

4

5.7

0.9

0.8

Blush-TX13

150,000

110

3.48

0.83

0.49

0.33

0.40

4

5.1

1.7

1.6

Blush-mean

100,000

143

3.06

0.47

0.21

0.26

0.55

4

16.1

1.6

−0.5

        

6

2.0

1.1

−0.9

SSC-CA11

100,000

105

11.87

4.94

3.52

1.42

0.29

5

2.6

0.9

na

SSC-CA12

100,000

137

11.61

3.35

1.79

1.56

0.47

5

13.8

4.0

1.3

SSC-TX13

100,000

111

12.84

6.63

4.59

2.04

0.31

4

2.3

0.4

0.8

        

5

9.6

1.0

0.1

SSC-mean

100,000

137

11.90

2.46

1.43

1.03

0.42

4

6.1

0.3

−2.0

        

5

11.8

0.9

−0.5

TA-CA11

100,000

95

0.78

0.14

0.03

0.11

0.79

5

7.6

4.2

2.1

TA-CA12

2500,000

131

0.71

0.14

0.02

0.12

0.86

5

11.8

6.0

5.4

TA-TX12

150,000

43

0.55

0.06

0.04

0.02

0.33

5

5.9

0.1

−0.6

TA-mean

500,000

137

0.72

0.13

0.03

0.10

0.77

5

na

6.8

5.6

  1. Blush = blush visually based on % coverage of red blush on skin using 0–5 scale (0 = 0% red coverage, 1 = 1–20%, 2 = 21–50%, 3 = 51–80%, 4 = 81–99%, 5 = 100%); SSC = soluble solids concentration in °Brix; TA = titratable acidity %
  2. CA11 = Fowler, California 2011, CA12 = Fowler, California 2012, TX12 = College Station, Texas 2012, TX13 = College Station, Texas 2013
  3. Markov chain Monte Carlo (MCMC) run length, phenotypic mean (μ), phenotypic variance (σ2P), residual variance(σ2e), additive variance(σ2A), narrow-sense heritability (h2), the linkage groups (LG) that QTLs were mapped on
  4. 2ln(BF). Bayes Factor, a measure quantifies the support from the data for the number of QTL(s) in the model (QTL evidence), after pair-wise model comparison (1/0, 2/1, and 3/2) such as ‘one-QTL model’ vs. ‘zero-QTL model, etc. 2ln(BF) < 0 = no evidence; 0–2 = hardly any; 2–5 = positive; 5–10 = strong; > 10 = decisive. Bayes Factor will not be available (na) if either model does not have enough samples in the Markov chain
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BMC Genomics

ISSN: 1471-2164

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