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Table 2 QTL for gray leaf spot (GLS) resistance and days to anthesis (DTA) identified in the CML444 X SC Malawi RIL population $

From: Mapping QTL conferring resistance in maize to gray leaf spot disease caused by Cercospora zeina

Chra Binb Peak markerc 1-LOD intervald 2-LOD intervale LOD Scoref R2 g Additive effecth Allele sourcei QTL namej
1 1.10 umc147b 264.7 - 281.0 264.3 - 285.7 3.39 10.1 -0.460 CML 1C_GLS
1 1.10 umc147b 270.9 - 285.6 267.5 - 289.7 3.23 6.4 -0.278 CML 1G_GLS
3 3.02/3.03 bnlg1447 29.6 - 46.2 25.3 - 50.1 2.95 8.5 -0.409 CML 3H_GLS
3 3.09 bnlg1182 201.8 - 219.6 207.9 - 219.6 4.55 13.0 -0.472 CML 3F_GLS
4 4.01 umc1017 0.0 - 8.2 0.0 - 13.3 3.14 8.0 -0.252 CML 4K_GLS
4 4.08 umc15a 121.9 - 133.8 116.5 - 136.6 4.78 10.9 -0.364 CML 4G_GLS
4 4.08 umc15a 122.6 - 132.9 120.9 - 136.0 4.55 12.8 -0.551 CML 4E_GLS
4 4.08 umc15a 122.9 - 136.1 120.4 - 140.5 3.59 8.9 -0.336 CML 4B_GLS
4 4.08 csu11b 127.9 - 139.3 127.9 - 142.3 3.92 12.0 -0.497 CML 4J_GLS
6 6.06 umc1424 141.0 - 151.7 135.3 - 154.7 4.92 21.8 0.626 SC 6F_GLS
6 6.06/6.07 umc36 142.7 - 160.5 139.2 - 164.3 3.29 13.0 0.504 SC 6H_GLS
6 6.06/6.07 umc36 142.3 - 161.4 139.0 - 162.3 2.95 13.8 0.335 SC 6K_GLS
6 6.06/6.07 umc36 147.3 - 166.1 143.7 - 174.0 3.64 13.7 0.584 SC 6E_GLS
6 6.06/6.07 umc36 147.5 - 162.1 143.1 - 169.6 5.00 10.2 0.362 SC 6G_GLS
6 6.06/6.07 umc36 150.7 - 162.0 147.7 - 168.5 4.61 10.7 0.232 SC 6I_GLS
6 6.06/6.07 umc36 148.3 - 163.9 143.2 - 174.4 3.38 9.3 0.451 SC 6J_GLS
7 7.02 umc1393 10.0 - 28.7 9.0 - 30.7 3.16 10.2 0.467 SC 7C_GLS
7 7.02 umc1393 20.4 - 29.7 20.1 - 30.8 3.31 10.4 0.218 SC 7I_GLS
7 7.02/7.03 bnlg1808 22.1 - 36.5 20.4 - 40.5 3.00 9.0 0.273 SC 7K_GLS
7 7.02/7.03 bnlg1808 34.4 - 41.1 33.0 - 43.0 4.67 13.4 0.341 SC 7A_GLS
7 7.02/7.03 bnl15.21 30.8 - 42.8 30.8 - 44.6 3.16 9.4 0.446 SC 7J_GLS
7 7.04 bnl14.07 72.2 - 86.3 67.2 - 87.4 3.26 10.0 0.425 SC 7F_GLS
9 9.04/9.05 umc1231 83.0 - 97.3 75.6 - 97.6 3.31 10.7 -0.317 CML 9A1_GLS
9 9.04/9.05 umc1231 92.9 - 101.3 77.8 - 105.5 3.70 9.2 -0.435 CML 9F1_GLS
9 9.06 umc1733 115.0 - 122.8 110.7 - 124.5 3.40 7.6 0.398 SC 9H_GLS
9 9.06 umc1733 119.8 - 123.6 119.8 - 124.7 4.51 10.1 0.482 SC 9F2_GLS
9 9.06 umc1733 120.3 - 123.6 120.0 - 124.4 6.65 17.8 0.443 SC 9A2_GLS
10 10.2 umc1337 23.4 - 40.5 16.6 - 45.5 2.99 6.3 -0.283 CML 10G1_GLS
10 10.06/10.07 bnl7.49a 114.0 - 127.9 110.9 - 129.8 4.53 13.5 -0.509 CML 10H_GLS
10 10.06/10.07 bnl7.49a 113.4 - 129.2 108.7 - 129.9 4.52 12.5 -0.391 CML 10G2_GLS
4 4.08 umc15a 122.3 - 134.4 120.4 - 138.0 3.90 10.6 -0.275 CML 4_GLS*
6 6.06/6.07 umc36 148.8 - 161.4 146.2 - 167.2 6.09 20.9 0.392 SC 6_GLS*
1 1.07 dupssr12 189.7 - 202.0 187.5 - 217.2 4.73 14 1.1399 SC 1_DTA#
4 4.09 npi593a 141.6 - 149.8 138.0 - 153.1 4.04 10 0.9455 SC 4_DTA#
  1. aMaize chromosome.
  2. bChromosome bin location of QTL (1-LOD (i.e. 95% confidence) interval) based on shared markers with the IBM2005 neighbours frame map.
  3. cPeak marker refers to marker on QMap 2.0 that is closest to the QTL peak.
  4. dRange in cM that defines 1-LOD interval of QTL.
  5. eRange in cM that defines 2-LOD interval of QTL.
  6. fLog of odds (LOD) value at position of QTL peak.
  7. gPhenotypic variance explained by the QTL (expressed as percentage).
  8. hAdditive effect of QTL. For GLS disease ratings, this is based on the one to nine scale employed. For days to anthesis, this is based on days. Positive values indicate that the allele for resistance or early anthesis was derived from SC Malawi.
  9. iParental allele associated with increased GLS resistance or earlier anthesis CML = CML444; SC = SC Malawi.
  10. jQTL name. First number indicates maize chromosome number whereas letter denotes field trial as described in Figure 1. Subsequent numbers differentiate more than one QTL identified on the same chromosme in the same field trial. GLS represent QTL for GLS resistance whereas DTA indicate QTL for days to anthesis.
  11. *Joint GLS QTL calculated from the mean z-scores of the least square means of the GLS disease scores from the eleven environments.
  12. #DTA QTL were identified using DTA data from an independent field trial at Redgates 2010.
  13. $GLS QTL were identified using QMap2.0 and GLS disease data from each of eleven environments in KwaZulu-Natal, South Africa. DTA QTL were identified using QMap2.0 and DTA data from an independent field trial at Redgates farm, KwaZulu-Natal, South Africa.