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