Indian Society of Genetics & Plant Breeding
Forty genotypes of rice comprising 34 mutants of Kalakeri, the parent variety, and five
standard varieties were evaluated in two seuons with a view to group the entries into
different clusters following various methods of analysis. Based on 13 characters, the
genotypes were grouped into different clusters following 0 2 analysis, canonical analysis,
metroglyph analysis and numerical classificatory analysis. Clustering pattern in different
methods indicated that out of 40 entries, 30 tall genotypes were grouped into 3 clusters in
0 2 analysis, 6 clusters in metroglyph analysis, and 5 and 9 clusters in UPGMA method of
numerical taxonomic approach at 80% and 85% phenons, respectively. The remaining 10
semidwarf strains were placed in 4 clusters by 0 2 analysis, 6 clusters in metroglyph
analysis, and 5 and 9 clusters in numerical taxonomic approach at lIO"l. and 85.,. phenon
levels, respectively. The study of clusters formed by different methods indicated that the
numerical taxonomic approach was more potent for classificatory analysis of biological
populations compared to other methods.
Keywords: Oryza sativa, rice, multivariate analysis, 1Y static, canonical, metroglyph, and numerical classificatory analyses.
Year: 1995
Volume: 55
Issue: 2
Article DOI: NA
Print ISSN: 0019-5200
Online ISSN: 0975-6906
K. C. MAHAPATRA, C. H. P. MISHRA AND B. ACHARYA info_circle
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