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BMC Genomics

, 17:492 | Cite as

Erratum to: ‘Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle’

  • Maurício A. Mudadu
  • Laercio R. Porto-Neto
  • Fabiana B. Mokry
  • Polyana C. Tizioto
  • Priscila S. N. Oliveira
  • Rymer R. Tullio
  • Renata T. Nassu
  • Simone C. M. Niciura
  • Patrícia Tholon
  • Maurício M. Alencar
  • Roberto H. Higa
  • Antônio N. Rosa
  • Gélson L. D. Feijó
  • André L. J. Ferraz
  • Luiz O. C. Silva
  • Sérgio R. Medeiros
  • Dante P. Lanna
  • Michele L. Nascimento
  • Amália S. Chaves
  • Andrea R. D. L. Souza
  • Irineu U. Packer
  • Roberto A. A. TorresJr.
  • Fabiane Siqueira
  • Gerson B. Mourão
  • Luiz L. Coutinho
  • Antonio Reverter
  • Luciana C. A. Regitano
Open Access
Erratum

Erratum

Unfortunately, the original version of this article [1] contained an error. Table 2 values were included incorrectly. The correct values can be found below. These values should also be indicated under the “Data inspection” subsection, first paragraph found under “Gene networks for growth and meat quality traits” section:
Table 2

Trait data and GWAS results information

Trait

n

min

max

avr

SD

h2

p ≤ 10 − 3

p ≤ 10 − 4

p ≤ 10 − 5

TCW

671

182.5

346.8

250.26

27.88

0.254

1246

219

32

      

(0.042)

(17.97)

(10.26)

(7.03)

DRE

671

42.6

86.5

56.22

3.63

0.096

680

100

20

      

(0.031)

(33.02)

(22.49)

(11.25)

REA

669

39.24

84.43

60.45

7.26

0.473

826

157

31

      

(0.049)

(27.16)

(14.32)

(7.26)

BFT

669

0.07

20

6.16

2.25

0.154

1723

305

56

      

(0.041)

(12.97)

(7.37)

(4.02)

LM

671

33.5

49.43

40.09

3.18

0.045

957

218

64

      

(0.030)

(23.43)

(10.31)

(3.51)

LF

671

16.54

84.36

75.65

4.45

0.049

1388

340

96

      

(0.021)

(16.12)

(6.61)

(2.34)

PH

666

5.00

6.9

5.54

0.21

0.026

928

215

56

      

(0.022)

(24.17)

(10.45)

(4.02)

CLO

667

14.42

66.90

28.71

5.21

0.099

939

138

22

      

(0.041)

(23.88)

(16.29)

(10.22)

“…higher estimates were observed for rib eye area (REA; h2 = 0.473), total carcass weight (TCW; h2 = 0.254) and back fat thickness (BFT; h2 = 0.154). There was a negative correlation between BFT and REA (-0.604) and between BFT and TCW (-0.632) and a strong positive correlation between TCW and REA (0.762) which makes biological sense indicating that the data is consistent.”

References

  1. 1.
    Mudadu MA, Porto-Neto LR, Mokry FB, Tizioto PC, Oliveira PS, Tullio RR, Nassu RT, Niciura SC, Tholon P, Alencar MM, Higa RH, Rosa AN, Feijó GL, Ferraz AL, Silva LO, Medeiros SR, Lanna DP, Nascimento ML, Chaves AS, Souza AR, Packer IU, Torres RA Jr, Siqueira F, Mourão GB, Coutinho LL, Reverter A, Regitano LC. Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle. BMC Genomics. 2016;17(1):235. doi: 10.1186/s12864-016-2535-3.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Maurício A. Mudadu
    • 1
    • 2
  • Laercio R. Porto-Neto
    • 3
  • Fabiana B. Mokry
    • 4
  • Polyana C. Tizioto
    • 4
  • Priscila S. N. Oliveira
    • 4
  • Rymer R. Tullio
    • 2
  • Renata T. Nassu
    • 2
  • Simone C. M. Niciura
    • 2
  • Patrícia Tholon
    • 2
  • Maurício M. Alencar
    • 2
  • Roberto H. Higa
    • 1
  • Antônio N. Rosa
    • 5
  • Gélson L. D. Feijó
    • 5
  • André L. J. Ferraz
    • 6
  • Luiz O. C. Silva
    • 5
  • Sérgio R. Medeiros
    • 5
  • Dante P. Lanna
    • 7
  • Michele L. Nascimento
    • 7
  • Amália S. Chaves
    • 7
  • Andrea R. D. L. Souza
    • 8
  • Irineu U. Packer
    • 7
  • Roberto A. A. TorresJr.
    • 5
  • Fabiane Siqueira
    • 5
  • Gerson B. Mourão
    • 7
  • Luiz L. Coutinho
    • 7
  • Antonio Reverter
    • 3
  • Luciana C. A. Regitano
    • 2
  1. 1.Embrapa Agricultural InformaticsCampinasBrazil
  2. 2.Embrapa Southeast LivestockSão CarlosBrazil
  3. 3.Commonwealth Scientific and Industrial Research, Organization - AgricultureBrisbaneAustralia
  4. 4.Department of Genetics and EvolutionFederal University of São CarlosSão CarlosBrazil
  5. 5.Embrapa Beef CattleCampo GrandeBrazil
  6. 6.State University of Mato Grosso do SulAquidauanaBrazil
  7. 7.Department of Animal ScienceUniversity of São PauloPiracicabaBrazil
  8. 8.Faculdade de Medicina Veterinaria e Zootecnia, Federal University of Mato Grosso do SulCampo GrandeBrazil

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