Table 7 Estimates of QTL position and effects under three different population structures

From: Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits

QTL

Chr.

Pos.

am

ae

Power (%)

  

Par.

Est. (s.d.)

Par.

Est. (s.d.)

Par.

Est. (s.d.)

   
   

I

II

III

 

I

II

III

 

I

II

III

I

II

III

Q1

1

75

74.95 (2.19)

75.16 (2.55)

75.15 (3.40)

0

0.11 (0.62)

0.23 (0.88)

0.11 (1.22)

3.77

3.55 (0.50)

3.52 (0.55)

3.39 (0.66)

100

99.6

100

Q2

2

34

34.05 (2.82)

33.94 (3.42)

34.19 (3.91)

3.5

3.14 (0.86)

3.01 (1.09)

2.93 (1.43)

−3.5

−3.14 (0.63)

−3.01 (0.81)

−2.92 (0.84)

100

100

100

Q3

3

44

44.29 (1.32)

44.31 (1.94)

44.05 (2.76)

3.3

3.40 (0.66)

3.40 (0.81)

3.34 (1.17)

4.1

3.88 (0.43)

3.84 (0.52)

3.73 (0.60)

100

100

100

Q4

4

53

53.09 (3.36)

53.02 (4.24)

52.81 (4.55)

2

1.96 (0.65)

2.01 (0.76)

1.96 (1.19)

0

0.01 (0.42)

−0.00 (0.43)

0.03 (0.40)

97.8

86.4

39.2

Q5

5

6

5.98 (2.03)

6.14 (2.60)

6.39 (2.91)

0

−0.02 (0.66)

−0.14 (0.84)

−0.00 (1.22)

−3.3

−3.10 (0.51)

−2.95 (0.60)

−2.91 (0.62)

100

100

99.6

Q6

5

77

77.00 (1.60)

77.23 (2.00)

77.43 (2.92)

3.2

3.16 (0.66)

3.22 (0.84)

3.12 (1.12)

3.3

3.12 (0.46)

3.05 (0.51)

3.00 (0.54)

100

100

100

  1. Abbreviations: Chr., the number of simulated chromosome; Est., the estimate of parameter; Par., the true parameter value in simulations; Pos., position (the distance (cM) between the QTL and the first marker on the same chromosome); Power, the percentage of the QTL that is detected correctly to be significant at 0.05 and/or within the 95% confidence interval; QTL, quantitative trait locus.
  2. I, II and III stand for three different population structures of 200:2, 100:4 and 50:8, respectively; the first number is the number of immortalized F2 (IF2) lines and the second number is the offspring number of each IF2 line; heritability of 75% is employed in each case; am and ae are maternal additive and endosperm effects, respectively. The s.d. indicates the standard deviation for the estimate of the true parameter value.
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