Literature DB >> 27500402

Correction: Bayesian Multi-Trait Analysis Reveals a Useful Tool to Increase Oil Concentration and to Decrease Toxicity in Jatropha curcas L.

Vinícius Silva Junqueira, Leonardo de Azevedo Peixoto, Bruno Galvêas Laviola, Leonardo Lopes Bhering, Simone Mendonça, Tania da Silveira Agostini Costa, Rosemar Antoniassi.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0157038.].

Entities:  

Year:  2016        PMID: 27500402      PMCID: PMC4976930          DOI: 10.1371/journal.pone.0161046

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


In Fig 1, the labels for traits use Portuguese abbreviations instead of English. Please see the corrected Fig 1 here.
Fig 1

Phenotypic trait evaluation using the Boxplot analysis.

Vertical bars are second and third quantiles, and the dots outside the bars are outliers. Each block was evaluated separately, allowing their individual evaluation. W100S –weight of 100 seeds; SOC–seed oil content; PEC–phorbol ester concentration.

Phenotypic trait evaluation using the Boxplot analysis.

Vertical bars are second and third quantiles, and the dots outside the bars are outliers. Each block was evaluated separately, allowing their individual evaluation. W100S –weight of 100 seeds; SOCseed oil content; PEC–phorbol ester concentration.
  1 in total

1.  Bayesian Multi-Trait Analysis Reveals a Useful Tool to Increase Oil Concentration and to Decrease Toxicity in Jatropha curcas L.

Authors:  Vinícius Silva Junqueira; Leonardo de Azevedo Peixoto; Bruno Galvêas Laviola; Leonardo Lopes Bhering; Simone Mendonça; Tania da Silveira Agostini Costa; Rosemar Antoniassi
Journal:  PLoS One       Date:  2016-06-09       Impact factor: 3.240

  1 in total
  3 in total

1.  Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice.

Authors:  Antônio Carlos da Silva Júnior; Isabela de Castro Sant'Anna; Michele Jorge Silva Siqueira; Cosme Damião Cruz; Camila Ferreira Azevedo; Moyses Nascimento; Plínio César Soares
Journal:  PLoS One       Date:  2022-05-03       Impact factor: 3.752

2.  Multi-trait multi-environment Bayesian model reveals G x E interaction for nitrogen use efficiency components in tropical maize.

Authors:  Lívia Gomes Torres; Mateus Cupertino Rodrigues; Nathan Lamounier Lima; Tatiane Freitas Horta Trindade; Fabyano Fonseca E Silva; Camila Ferreira Azevedo; Rodrigo Oliveira DeLima
Journal:  PLoS One       Date:  2018-06-27       Impact factor: 3.240

3.  Multi-trait multi-environment models in the genetic selection of segregating soybean progeny.

Authors:  Leonardo Volpato; Rodrigo Silva Alves; Paulo Eduardo Teodoro; Marcos Deon Vilela de Resende; Moysés Nascimento; Ana Carolina Campana Nascimento; Willian Hytalo Ludke; Felipe Lopes da Silva; Aluízio Borém
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

  3 in total

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