Table 5. Estimated QTL effects from the full model for grain weight.
Loci(i, j)a | b | p-valuec | d |
(729_add, 729_add) | 1.02(0.07) | <10−15 | 0.1548 |
(37_add, 547_dom) | 0.71(0.09) | 1.29×10−14 | 0.0428 |
(67_add, 772_add) | −0.25(0.08) | 6.56×10−4 | 0.0047 |
(96_add, 1117_dom) | 0.21(0.08) | 2.95×10−3 | 0.0035 |
(119_add, 987_add) | 0.18(0.07) | 6.73×10−3 | 0.0024 |
(151_add, 1262_add) | −0.15(0.07) | 9.79×10−3 | 0.0018 |
(71_dom, 184_add) | −0.67(0.09) | 1.55×10−13 | 0.0374 |
(210_add, 1400_add) | 0.19(0.08) | 7.79×10−3 | 0.0025 |
(329_add, 727_dom) | 0.22(0.09) | 4.63×10−3 | 0.0040 |
(310_dom, 419_add) | −0.21(0.05) | 1.86×10−5 | 0.0043 |
(431_add, 1111_add) | 0.35(0.08) | 1.01×10−5 | 0.0107 |
(71_dom, 500_add) | −0.76(0.08) | <10−15 | 0.0493 |
(583_add, 1578_dom) | 0.35(0.08) | 9.50×10−6 | 0.0092 |
(107_dom, 700_add) | 0.19(0.07) | 4.80×10−3 | 0.0035 |
(708_dom, 714_add) | −1.15(0.32) | 1.79×10−4 | 0.0076 |
(818_add, 1100_add) | 0.26(0.08) | 3.93×10−4 | 0.0053 |
(916_add, 1026_add) | 0.15(0.06) | 8.50×10−3 | 0.0019 |
(472_dom, 920_add) | −0.27(0.09) | 1.65×10−3 | 0.0058 |
(18_dom, 955_add) | −0.20(0.08) | 3.77×10−3 | 0.0033 |
(971_add, 1461_add) | 0.27(0.08) | 4.75×10−4 | 0.0075 |
(620_dom, 1011_add) | −0.67(0.09) | 3.31×10−12 | 0.0336 |
(1035_add, 1224_add) | 0.30(0.07) | 3.27×10−5 | 0.0081 |
(1093_add, 1407_dom) | 0.44(0.08) | 2.13×10−7 | 0.0148 |
(1167_dom, 1168_add) | −0.47(0.16) | 1.37×10−3 | 0.0051 |
(119_dom, 1375_add) | 0.61(0.09) | 7.83×10−11 | 0.0289 |
(1397_add, 1505_add) | 0.41(0.09) | 1.95×10−6 | 0.0119 |
(247_dom, 1505_dom) | −0.23(0.08) | 1.22×10−3 | 0.0032 |
(647_dom, 796_dom) | 0.26(0.08) | 4.29×10−4 | 0.0044 |
Parameter(s) | a = 1, b = 1 | ||
μ | −0.0661 | ||
0.5317 | |||
0.9379 |
aadd: additive effect; dom: dominance effect. If i equals j, then it is a main effect, otherwise, it is an interaction between locus i and locus j. Total number of effects is 90, only 28 effects with a p-value ≤0.01 are listed in this table.
bThe estimated marker effect is denoted by and the standard deviation is denoted by .
c P-value is obtained via t-test.
dPhenotypic variation explained.