TABLE 3.
Trait | QTL | Chr | Peak SNP | cM | bp | −log10 P | Marker R2 a | Effect b | Allele Freq |
---|---|---|---|---|---|---|---|---|---|
HFN | HFN_1B.1 | 1B | Jagger_c5878_119 | 0 | 1,254,498 | 3.10 | 0.079 | 28.42 | 0.58 |
HFN | HFN_3A.1 c | 3A | RAC875_c99055_69 | 283.735979 | 728,322,627 | 4.08 | 0.114 | −30.65 | 0.47 |
HFN | HFN_3B.1 | 3B | BS00099738_51 | 227.3745367 | 759,168,681 | 3.04 | 0.077 | −31.32 | 0.73 |
HFN | HFN_6A.1 c | 6A | Kukri_c29110_360 | 88.77758706 | Un | 3.83 | 0.103 | −31.56 | 0.61 |
HFN | HFN_6A.2 c | 6A | BS00082104_51 | 192.8384162 | 581,841,966 | 3.69 | 0.098 | 32.95 | 0.38 |
HFN | HFN_7B.1 c | 7B | RAC875_c525_202 | 261.6310052 | 750,082,927 | 4.78 | 0.134 | −44.19 | 0.19 |
PRT | PRT_1A.1 | 1A | BS00086680_51 | 71.0976257 | 281,657,026 | 3.26 | 0.087 | 0.39 | 0.52 |
PRT | PRT_1A.2 | 1A | Excalibur_c13489_867 | 96.6018344 | 452,020,371 | 3.03 | 0.079 | −0.36 | 0.38 |
PRT | PRT_1A.3 | 1A | RAC875_c5882_307 | 231.6429733 | 589,054,742 | 3.01 | 0.079 | −0.33 | 0.34 |
PRT | PRT_2A.1 | 2A | RAC875_rep_c69619_78 | 207.5522799 | 734,352,032 | 3.15 | 0.083 | −0.33 | 0.56 |
PRT | PRT_2B.1 | 2B | BS00046165_51 | 260.7730538 | 697,510,384 | 3.04 | 0.080 | 0.44 | 0.19 |
PRT | PRT_3A.1 c | 3A | wsnp_Ku_c30545_40369365 | 107.2210875 | 363,458,708 | 3.34 | 0.090 | −0.35 | 0.52 |
PRT | PRT_3B.1 c | 3B | wsnp_Ex_c20652_29734133 | 112.6476302 | 292,024,034 | 3.39 | 0.091 | −0.44 | 0.79 |
PRT | PRT_3B.2 | 3B | RAC875_c58159_989 | 155.9566423 | 564,248,743 | 3.10 | 0.081 | −0.46 | 0.83 |
PRT | PRT_3B.3 c | 3B | GENE_1618_780 | 279.0622821 | 820,894,420 | 3.02 | 0.079 | −0.33 | 0.52 |
PRT | PRT_6B.1 c | 6B | BS00009795_51 | 12.20934913 | 4,876,473 | 3.36 | 0.090 | ‐0.35 | 0.44 |
TW | TW_1B.1 c | 1B | RAC875_rep_c95069_54 | 81.49097047 | 336,647,904 | 3.12 | 0.080 | −1.24 | 0.21 |
TW | TW_3B.1 c | 3B | GENE_1771_541 | 57.06175117 | 32,458,901 | 3.60 | 0.095 | 1.20 | 0.36 |
TW | TW_3B.2 c | 3B | RAC875_c58159_989 | 155.9566423 | 571,753,368 | 3.20 | 0.083 | −1.43 | 0.86 |
TW | TW_3B.3 c | 3B | Excalibur_c33274_498 | 207.7302565 | 738,752,902 | 3.21 | 0.083 | 2.04 | 0.05 |
TW | TW_3B. | 3B | BS00073480_51 | 269.7509427 | 812,721,677 | 3.41 | 0.089 | −1.91 | 0.91 |
YLD | YLD_1A.1 c | 1A | RAC875_rep_c105092_114 | 72.6102779 | 304,040,711 | 4.03 | 0.109 | 0.62 | 0.50 |
YLD | YLD_1A.2 c | 1A | wsnp_CAP8_c4785_2322876 | 166.3032581 | 544,054,745 | 3.28 | 0.085 | 0.56 | 0.79 |
YLD | YLD_2A.1 c | 2A | RAC875_c48625_182 | 22.63785838 | 18,636,671 | 4.30 | 0.118 | 0.57 | 0.53 |
YLD | YLD_2A.2 c | 2A | RAC875_c16993_839 | 245.2533379 | 774,815,015 | 4.57 | 0.127 | −0.73 | 0.38 |
YLD | YLD_2B.1 | 2B | BS00002660_51 | 38.40853424 | 16,025,160 | 3.09 | 0.079 | 0.50 | 0.57 |
YLD | YLD_2B.2 c | 2B | BS00091099_51 | 221.2304675 | 578,601,402 | 3.97 | 0.107 | −0.55 | 0.54 |
YLD | YLD_2B.3 c | 2B | BS00046165_51 | 260.7730538 | 697,510,384 | 3.45 | 0.090 | −0.70 | 0.19 |
YLD | YLD_2B.4 c | 2B | Kukri_c34553_188 | 319.3174469 | 766,234,466 | 5.56 | 0.161 | −1.00 | 0.17 |
YLD | YLD_2D.1 c | 2D | wsnp_Ex_c1668_3169623 | 35.64284331 | Un | 3.94 | 0.106 | 0.59 | 0.70 |
YLD | YLD_3A.1 | 3A | wsnp_Ex_c8884_14841846 | 179.8202073 | 625,239,797 | 3.13 | 0.08027 | −0.51 | 0.73 |
YLD | YLD_5B.1 c | 5B | CAP8_rep_c5825_165 | 3.286161131 | 15,054,913 | 3.27 | 0.0847 | 0.5 | 0.4 |
YLD | YLD_6A.1 c | 6A | BS00082812_51 | 0.502519793 | 639,383 | 4.22 | 0.11534 | 0.73 | 0.78 |
YLD | YLD_6A.2 c | 6A | wsnp_Ku_c3354_6228393 | 132.9525631 | 430,933,984 | 3.43 | 0.09203 | −0.71 | 0.24 |
YLD | YLD_6B.1 c | 6B | Kukri_c21405_2131 | 15.73078008 | 166,814 | 3.8 | 0.10161 | −0.73 | 0.19 |
Note. The most significant marker at each QTL is listed. Genetic (Gardner et al., 2016) and physical (IWGSC, 2018) map positions for peak single nucleotide polymorphisms (SNPs) at each QTL are indicated. Where SNPs were anchored to physical map regions currently not allocated to a chromosome designation in the wheat reference genome assembly, the bp position is recorded as unknown (Un). SNP effect at each QTL were determined via two methods (defined below).
SNP effects determined via the outputs of the software TASSELL.
SNP effects determined via modeling the effects considering just those QTL identified for a specific trait.
GWAS hits identified using both kinship and kinship+PCA to correct for population structure. The remaining hits were identified using kinship correction only.