Literature DB >> 28135319

Correction: Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness.

Jérôme Bartholomé, Marco Cam Bink, Joost van Heerwaarden, Emilie Chancerel, Christophe Boury, Isabelle Lesur, Fikret Isik, Laurent Bouffier, Christophe Plomion.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0165323.].

Entities:  

Year:  2017        PMID: 28135319      PMCID: PMC5279804          DOI: 10.1371/journal.pone.0171439

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


There are missing axes in Fig 1. Please view the correct Fig 1 here.
Fig 1

Results from QTL analysis of the F2 mapping population.

The LOD score patterns for total height (blue) and stem straightness (orange) over the 12 linkage groups of maritime pine are represented. The location of the QTLs (p < 0.05 at the genome wide level) is indicated by vertical dotted lines.

Results from QTL analysis of the F2 mapping population.

The LOD score patterns for total height (blue) and stem straightness (orange) over the 12 linkage groups of maritime pine are represented. The location of the QTLs (p < 0.05 at the genome wide level) is indicated by vertical dotted lines.
  1 in total

1.  Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness.

Authors:  Jérôme Bartholomé; Marco Cam Bink; Joost van Heerwaarden; Emilie Chancerel; Christophe Boury; Isabelle Lesur; Fikret Isik; Laurent Bouffier; Christophe Plomion
Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

  1 in total
  2 in total

1.  Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing.

Authors:  Suzhen Niu; Hisashi Koiwa; Qinfei Song; Dahe Qiao; Juan Chen; Degang Zhao; Zhengwu Chen; Ying Wang; Tianyuan Zhang
Journal:  PeerJ       Date:  2020-03-13       Impact factor: 2.984

2.  Genome wide association study of 5 agronomic traits in olive (Olea europaea L.).

Authors:  Hilal Betul Kaya; Deniz Akdemir; Roberto Lozano; Oznur Cetin; Hulya Sozer Kaya; Mustafa Sahin; Jenny L Smith; Bahattin Tanyolac; Jean-Luc Jannink
Journal:  Sci Rep       Date:  2019-12-10       Impact factor: 4.379

  2 in total

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