Literature DB >> 34266449

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

Zhi-Qiang Chen1, Yanjun Zan1, Pascal Milesi2, Linghua Zhou1, Jun Chen2,3, Lili Li2, BinBin Cui4, Shihui Niu5, Johan Westin6,7, Bo Karlsson8, Maria Rosario García-Gil1, Martin Lascoux2, Harry X Wu9,10,11.   

Abstract

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Year:  2021        PMID: 34266449      PMCID: PMC8281665          DOI: 10.1186/s13059-021-02421-z

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


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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

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

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.
  1 in total

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

Authors:  Zhi-Qiang Chen; Yanjun Zan; Pascal Milesi; Linghua Zhou; Jun Chen; Lili Li; BinBin Cui; Shihui Niu; Johan Westin; Bo Karlsson; Maria Rosario García-Gil; Martin Lascoux; Harry X Wu
Journal:  Genome Biol       Date:  2021-06-13       Impact factor: 13.583

  1 in total

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