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Table 2 Putative QTL for two phytotoxic traits (CCI reduction and senescence) affecting herbicide tolerance in ITMI Synthetic W7984 × Opata RIL population identified by composite interval mapping (CIM) at the LOD threshold ≥3

From: Identification and validation of QTL and their associated genes for pre-emergent metribuzin tolerance in hexaploid wheat (Triticum aestivum L.)

Trait Chromosome arm QTL QTL position (cM)c Flanking markers CId LOD score Additivee R2f (%)
CCIa 1 (1AS) Qcci.uwa.1AS 12.3 Xgwm136/Xgwm33 3.9–17.3 3.4 −0.6 10
6 (2DS) Qcci.uwa.2DS 21.1 Xgwm210/Xgwm484 18.3–27.8 4.7 0.7 13
10 (4AL) Qcci.uwa.4AL.1 52.6 Xbarc170/ Xbarc343 48.6–56.7 5.8 −0.8 19
10 (4AL) Qcci.uwa.4AL.2 61.9 Xbarc343/ Xgwm350 59.4–63.7 4.0 −0.7 12
SNSb 1 (1AS) Qsns.uwa.1AS 12.3 Xgwm136/ Xgwm33 3.9–14.3 3.0 −0.5 8
6 (2DS) Qsns.uwa.2DS 22.1 Xgwm210.2/ Xgwm484 18.3–29.7 7.3 0.9 20
10 (4AL) Qsns.uwa.4AL.1 52.8 Xbarc170/ Xbarc343 49.6–58.3 6.1 −0.8 17
10 (4AL) Qsns.uwa.4AL.2 61.9 Xbarc170/ Xgwm350 56.7–63.7 3.4 −0.6 10
  1. aCCI SPAD chlorophyll content index reduction
  2. bSNS senescence scale (1–10)
  3. cQTL position from the left flanking marker (cM), within the 1-LOD support interval (CI)
  4. dSupport interval between the two flanking markers (cM)
  5. eQTL with a negative additive effect mean alleles from the tolerant parent increase tolerance, positive additive effect mean alleles from the susceptible parent increase tolerance
  6. fProportion of phenotypic variance explained by the QTL