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Supplemental Material for Yu et al., 2019

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posted on 2019-04-16, 14:41 authored by Haipeng Yu, Malachy T. Campbell, Qi Zhang, Harkamal Walia, Gota Morota
File S1 contains Figure S1 and Table S1.

Figure S1: Histogram plots and density curves of six latent variables.

Table S1: Description of phenotypes used.

FileS2.csv: Information about the improvement status for a subset of lines.

FileS3.csv: Phenotypic data.

History

Article title

Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network to Characterize a Wide Spectrum of Rice Phenotypes

Manuscript #

G3/2019/400154R1

Article DOI

10.1534/g3.119.400154

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    G3: Genes|Genomes|Genetics

    Categories

    Keywords

    RiceBayesian networkFactor analysisGeneticsPhenotypeCrop and Pasture Improvement (Selection and Breeding)

    Licence

    CC BY 4.0

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