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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