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Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Waldiodio Seck

Département de phytologie et Institut de biologie intégrative et des systèmes, Université Laval, Québec, QC, Canada

Publications
  • Research Article   
    Cluster Analysis of 137 Soybean Lines Based on Root System Architecture Traits Measured in Rhizoboxes
    Author(s): Prabhjot Sanghera, François Belzile, Waldiodio Seck and Pierre Dutilleul*

    The reported study was motivated by the necessity to select 30 soybean lines from a total of 137 for a sophisticated 3-D phenotyping analysis of the Root System Architecture (RSA), which would not allow that all the lines be included and replicated. A representative subset of size 30 was found after performing four cluster analyses and comparing the results of two more particularly. These two cluster analyses are based on the data for 12 RSA-related traits previously collected in 2D on three replicates of the 137 soybean lines and the first six principal components representing 95% of the total dispersion after data standardization in a preliminary Principal Component Analysis (PCA). The two cluster analysis procedures provided 16 soybean lines that were the closest to the centroid of their respective cluster in both cases. Fourteen more were found to be common and.. Read More»
    DOI: 10.37421/2155-6180.2023.14.179

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Google Scholar citation report
Citations: 3496

Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report

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