Skip to main content
  • Publisher Correction
  • Open access
  • Published:

Publisher Correction: Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis

The Original Article was published on 13 June 2021

Publisher Correction to: Genome Biol 22, 179 (2021)

https://doi.org/10.1186/s13059-021-02392-1

Following publication of the original paper [1], it was reported that Tables 1–3 were published in the incorrect sequence. Tables 1, 2 and 3 were published as Tables 3, 2 and 1 respectively.

Furthermore, there was an error in Fig. 2 and the correct Fig. 2 is supplied below.

Fig. 2
figure 1

Heritabilities and genetic correlations among traits. a Pedigree-based and SNP-based narrow-sense heritability of the seven traits, with black line representing the ± standard errors. b Pair-wise Pearson product-moment correlations (upper diagonal) and genetic correlations (lower diagonal) among deregressed estimated breeding values (dEBVs) of tree height (height), diameter at breast height (DBH), and frost damage (FD), adjusted phenotypic values of budburst stage (BB), wood density (WD), microfibril angle (MFA, represented here by acoustic velocity), and wood stiffness (WS). The color spectrum, bright blue to bright red presents highly positive to highly negative correlations, and the number represents the correlation values. * The SNP heritability only explained the proportion of dEBVs variance explained by SNP-based genomic relationships, and dEBVs of the three traits were used to estimate the phenotypic and genetic correlations in b

The original article [1] has been corrected. The publishers apologize for the error.

Reference

  1. Chen ZQ, Zan Y, Milesi P, et al. Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis. Genome Biol. 2021;22:179 https://doi.org/10.1186/s13059-021-02392-1.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Harry X. Wu.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, ZQ., Zan, Y., Milesi, P. et al. Publisher Correction: Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis. Genome Biol 22, 210 (2021). https://doi.org/10.1186/s13059-021-02421-z

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/s13059-021-02421-z