PENGGUNAAN ANALISIS PEUBAH GANDA DALAM TAKSONOMI NUMERIK : CONTOH KASUS 2 KULTIVAR KEDELAI DAN KETURUNANNYA (F2)

Authors

  • Nina Ratna Djuita Departemen Biologi, FMIPA, Institut Pertanian Bogor, Bogor
  • Muhammad Jusuf Departemen Biologi, FMIPA, Institut Pertanian Bogor, Bogor

DOI:

https://doi.org/10.32556/floribunda.v3i1-2.2006.66

Keywords:

Slamet’s cultivar, Nokon Sawon cultivar’s, multivariate analysis,

Abstract

Nina Ratna Djuita & Muhammad Jusuf. 2006. The use of Multivariate Analysis in Numerical Taxonomy : Case of Two, Soybean Cultivars and Their Generation (F2). Floribunda 3(1): 10-18. --- Multivariate analysis was applied to the morphological data of Slamet and Nokon Sawon cultivars and their generation (F2). This research was intended to compare multivariate analysis namely principal component analysis and disciminant analysis to two cultivars above and their generation. The first analysis resulted 2 and 7 principal components of covariance and correlation matrix for original data while data transformed revealed 5 and 8 principal components of covariance and correlation matrix respectively. Based on discriminant analysis, Nokon and Sawon’s cultivar can be successfully classified as a single group different from the rest.

Downloads

Published

2016-02-27

Issue

Vol. 3 No. 1-2 (2006)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeThe Effect of Open Access).