Table 2

P-values of associations between candidate genes and SHR incidence in sunflower
SUNFLOWER P MATRIX Q MATRIX
GENE ID (T = 0.2) (T = 0.8) (T = 0.2) (T = 0.8)
HaMT 0.8400 0.8356 0.8237 0.8192
HaPRP2 0.9493 0.9225 0.4897 0.9136
HaCytP450C 0.7856 0.7820 0.4897 0.7488
HaROPGEF2 0.9142 0.9486 0.9087 0.9454
HaPP2C 0.7153 0.7256 0.6797 0.6918
HaRIC_A 0.2094 0.2112 0.2015 0.2036
HaRIC_B 0.0098** 0.0096** 0.0066** 0.0066**
HaHP2 0.5818 0.5993 0.7514 0.5113
HaZFHD 0.4526 0.4539 0.3443 0.3472
HaGDPDI 0.9807 0.9811 0.9770 0.9775
HaWP 0.4699 0.4645 0.4501 0.4449
HaTRP 0.3764 0.3707 0.3501 0.9142
HaPAL 0.1635 0.1646 0.1342 0.1359
HaWRKY5 0.2255 0.2249 0.1398 0.1408
HaWRKY7 0.1069 0.1019 0.0933 0.0892
HaGLP4 0.3487 0.3567 0.3128 0.3219

Kinship relationships were obtained as suggested by Bernardo [41]. The K matrix was calculated as <a onClick="popup('http://www.biomedcentral.com/1471-2229/12/93/mathml/M2','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2229/12/93/mathml/M2">View MathML</a> , where T is the probability that two alleles are alike in state, given that they are not identical by descent. In practice, T is unknown, but different T values (0.2, 0.3, 0.7, 0.8, only showing data for 0.2 and 0.8) were evaluated to reach the maximum likelihood in model (1) explained in Methods Section. **P < 0.01.

Fusari et al.

Fusari et al. BMC Plant Biology 2012 12:93   doi:10.1186/1471-2229-12-93

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