Author(s): A. K. SINHA AND PK MISHRA

Abstract: The morphological characterization of plant is the basic criteria in order to provide fundamental information for plant breeding programme. The main objective of the present work was to characterize 34 landraces of rice of Bankura District of West Bengal, based on 12 quantitative agro-morphological characters. Agro-morphological characters were analyzed using Multivariate statistical analysis. Multivariate analysis involves observation and analysis of more than one statistical variable at a time. Pearson correlation coefficient, The un-weighted variable pair group method of the average linkage cluster analysis (UPGMA), principal component analysis (PCA), were used to analyze the data obtained. This analysis helps to enabled pattern of variation of the germplasm of landraces of rice and identification of the major traits contributing to the diversity of landraces. Five cluster groups were obtained from the 12 agro-morphological characters using multivariate analysis. PCA showed the contribution of each characters to the classification of the rice landraces into different cluster groups. The first three principal components explained about 86.9% of the total variation among the 12 characters. The results of PCA suggested that characters such as leaf length, leaf width, panicle length and grain size (100 grain weight, length and width of grain and kernel) were the principal discriminatory characteristics of landraces of rice.

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