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Theoretical and Applied Genetics

, Volume 126, Issue 7, pp 1917–1919 | Cite as

Erratum to: QTL for yield and associated traits in the Seri/Babax population grown across several environments in Mexico, in the West Asia, North Africa, and South Asia regions

  • Marta S. LopesEmail author
  • Matthew P. Reynolds
  • C. Lynne McIntyre
  • Ky L. Mathews
  • M. R. Jalal Kamali
  • Moussa Mossad
  • Yousef Feltaous
  • Izzat S. A. Tahir
  • Ravish Chatrath
  • Francis Ogbonnaya
  • Michael Baum
Erratum
  • 690 Downloads

Erratum to: Theor Appl Genet (2013) 126:971–984 DOI 10.1007/s00122-012-2030-4

Due to an unfortunate error, the data of the first five rows on the second page of Table 5 were published in the wrong column. The corrected Table 5 is reproduced on the following pages.
Table 5

Multi-environment QTL for yield (YLD), thousand kernel weight (TKW), days to heading and maturity (DH and DM), plant height (PH), canopy temperature at the vegetative (CTvg) and grain filling (CTgf) stages and early ground cover (EGC) analyzed for each trait at the time across all environments

Trait

Marker

Chr

Pos

QTLxE

Dar

Soh

Don

WM

THa

MIR

MD

MH

MHD

Kar

Lud

YLD

4A-act/cag-3

4A

13.15

Yes

4.2

2.2

17.3

9.1

3.4

21.7

15.1

9.9

13.7

6.6

−27.8

4A-barc070

4A

99.46

Yes

6.5

−13.1

8.7

4.5

5.9

9.8

4.1

−5.8

2.9

7.2

−30.1

4B-gwm375

4B

14.09

Yes

3.9

4.3

2.1

2.7

7.9

16.4

7.3

5.7

6.2

31.3

21.9

5A-barc040

5A

48.36

Yes

2.2

1.5

2.8

8.5

−6.0

16.3

1.3

1.6

0.4

7.7

−34.3

6B-agg/ctg-8

6B

77.72

Yes

−19.6

0.3

2.6

2.0

9.4

4.1

−11.1

−6.4

−5.6

5.4

6.7

7D-acc/cat-10

7D-b

2.73

Yes

−23.7

−17.5

4.9

3.3

−11.8

11.9

3.6

−6.7

−12.7

−15.2

14.3

TKW

5B-gwm133

5B

7.47

Yes

0.59

0.03

0.29

0.27

NA

0.37

0.49

0.24

0.49

0.29

0.67

6A-wmc0163

6A-a

62.18

Yes

1.1

0.0

0.6

0.5

NA

0.7

0.1

0.1

0.0

0.6

0.1

6D-gwm325

6D-a

36.98

Yes

0.7

0.9

0.4

1.0

NA

1.1

0.3

0.8

0.3

0.9

0.4

C29P13

7D-b

12.5

No

−1.4

−1.4

−1.4

−1.4

NA

−1.4

−1.4

−1.4

−1.4

−1.4

−1.4

GM2

C1P48

1A

48.08

No

NA

NA

NA

NA

NA

−364.1

−364.1

−364.1

−364.1

NA

NA

C14P6

4A

5.55

No

NA

NA

NA

NA

NA

415.3

415.3

415.3

415.3

NA

NA

4B-aag/cta-5

4B

11.57

No

NA

NA

NA

NA

NA

359.6

359.6

359.6

359.6

NA

NA

6D-cfd0188

6D-a

41.41

No

NA

NA

NA

NA

NA

−289.3

−289.3

−289.3

−289.3

NA

NA

DH

2B-act/ctc-11

2B

38.9

Yes

0.0

0.1

0.3

−0.9

0.1

0.4

0.4

0.3

0.4

0.1

0.1

3A-wPt-2478

3A-a

23.5

Yes

0.1

−0.5

0.3

−0.5

0.1

0.2

0.2

0.2

0.1

−0.4

−1.2

4A-wmc048d

4A

12.9

Yes

0.2

0.1

0.3

0.6

0.2

0.3

0.3

0.3

0.3

0.1

−0.5

5D-wPt-5505

5D-b

12.6

Yes

0.2

0.8

0.9

0.8

0.2

0.5

0.5

0.4

0.5

0.7

0.5

6A-wPt-7599

6A-a

50.8

Yes

0.2

−0.4

−0.5

0.2

0.2

0.0

0.0

0.0

0.0

−0.7

−1.0

6B-agg/ctg-8

6B

77.7

Yes

0.1

0.4

0.8

1.2

0.0

0.2

0.2

0.2

0.2

0.3

1.0

C29P13

7D-b

12.5

Yes

0.6

1.9

1.3

0.6

1.0

1.1

1.1

0.9

1.0

1.6

2.2

DM

1D-gdm0111

1D-a

132.2

Yes

0.2

1.0

0.7

0.6

0.3

0.4

0.6

0.5

0.6

0.3

NA

2B-act/ctc-11

2B

38.9

Yes

−0.1

0.0

−0.7

−0.9

0.2

0.2

−0.3

−0.3

−0.5

0.3

NA

4A-gwm397

4A

23.7

Yes

0.1

0.4

0.5

0.5

0.2

0.4

0.0

0.5

0.5

0.1

NA

C16P7

4D

7.3

Yes

0.0

−0.7

−0.7

−0.5

0.2

−0.4

−0.6

−0.5

0.3

−0.4

NA

C20P6

5D-b

6.3

Yes

0.2

0.6

1.0

0.8

0.1

0.7

0.6

0.6

0.9

0.1

NA

6A-barc0113

6A-a

68.2

Yes

0.0

0.1

0.1

0.1

0.4

0.3

0.1

0.2

0.3

−0.4

NA

6B-aac/ctc-3

6B

83

Yes

0.1

0.2

0.7

0.8

0.3

0.2

0.3

0.3

0.3

0.1

NA

7D-aca/cag-11

7D-a

11.1

Yes

0.2

−0.8

−1.0

−0.9

−0.1

−0.6

−0.7

−0.5

−0.7

−0.4

NA

7D-acc/cat-10

7D-b

2.7

Yes

0.4

1.8

1.7

0.7

0.4

0.8

1.2

0.7

0.8

0.8

NA

PH

1D-gdm0111

1D-a

132.2

Yes

0.3

0.7

0.3

0.4

0.4

0.6

0.3

0.4

−0.6

−0.7

0.6

2B-aag/ctg-5

2B

26.8

No

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

C9P62

2B

62.3

Yes

1.8

1.4

1.1

0.4

0.4

1.3

0.1

0.3

0.4

0.7

0.7

2D-aac/ctg-6

2D

12

Yes

0.3

0.9

0.2

0.4

0.4

0.2

0.1

0.2

−0.5

0.3

0.9

4A-agg/cta-12

4A

13.6

Yes

−1.5

−1.9

−1.0

0.0

0.0

0.6

0.4

0.2

0.1

−1.4

−1.7

4B-aag/cta-5

4B

11.6

No

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

−0.6

4D-wmc048b

4D

0

Yes

0.5

1.0

0.2

0.6

0.6

0.0

0.0

0.2

−0.6

0.3

0.3

5A-gwm617a

5A

76

Yes

1.7

1.4

1.2

1.1

1.1

0.6

0.3

0.5

0.0

0.9

1.1

C19P17

5D-a

17

No

0.7

0.7

0.7

0.7

0.7

0.7

0.7

0.7

0.7

0.7

0.7

7D-gwm130

7D-b

0

Yes

0.3

0.2

0.2

0.3

0.3

1.1

0.0

0.7

1.3

0.2

0.4

CTvg

4A-wmc048d

4A

12.92

Yes

NA

NA

NA

NA

NA

−0.1

−0.1

−0.1

−0.1

NA

NA

CTgf

6A-gwm617b

6A-b

28.39

Yes

0.0

−0.1

0.1

0.2

NA

0.1

0.0

0.0

0.0

0.0

0.3

C29P13

7D-b

12.5

Yes

0.1

0.2

−0.2

0.1

NA

0.0

0.1

0.1

0.1

0.1

0.1

EGC

7D-acc/ctc-7

7D-a

11.7

Yes

0.2

NA

NA

0.1

NA

−1.1

0.1

−0.4

−0.8

0.6

NA

7D-acc/cat-10

7D-b

2.7

Yes

−0.7

NA

NA

0.2

NA

0.2

0.2

0.8

0.3

−0.6

NA

Marker, chromosome (Chr), position (Pos), QTL by environment interactions (QTLxE) and additive effects in each environment are shown. Environments include Darab (Dar), Sohag (Soh), Dongola (Don), Wad Medani (WD), Tel Hadya (THa), Mexico irrigated (MIR), Mexico drought (MD), Mexico heat (MH), Mexico heat plus drought (MHD), Karnal (Kar) and Ludihana (Lud)

Figures in bold indicate significant QTL effects in one particular environment

NA not available

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marta S. Lopes
    • 1
    Email author
  • Matthew P. Reynolds
    • 1
  • C. Lynne McIntyre
    • 2
  • Ky L. Mathews
    • 1
  • M. R. Jalal Kamali
    • 3
  • Moussa Mossad
    • 4
  • Yousef Feltaous
    • 4
  • Izzat S. A. Tahir
    • 5
    • 7
  • Ravish Chatrath
    • 6
  • Francis Ogbonnaya
    • 7
  • Michael Baum
    • 7
  1. 1.CIMMYT Int. Apdo.DF MexicoMexico
  2. 2.CSIRO Plant Industry, Queensland Biosciences PrecinctSt LuciaAustralia
  3. 3.CIMMYT, c/o Seed and Plant Improvement Institute Campus (SPII)KarajIran
  4. 4.Field Crops Research InstituteAgricultural Research CenterGizaEgypt
  5. 5.ARCWad MedaniSudan
  6. 6.Directorate of Wheat Research (DWR)KarnalIndia
  7. 7.ICARDAAleppoSyria

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