Characterization of rice landraces of Tamil Nadu by multivariate analysis
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 56 landraces of rice including high yielding varieties of Tamil Nadu, based on six 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. Principal component analysis was utilized to examine the variation and to estimate the relative contribution of various traits for total variability. This analysis helps to enabled pattern of variation of the germplasm of landraces of rice. PCA showed the contribution of each character to the classification of the rice landraces into different cluster groups. The first three principal components explained about 76.13 % of the total variation among the six characters. In the current study, Component 1 had the contribution from all the traits which accounted 34.66 % of the total variability. Component 2 had the contribution from plant height and panicle length which accounted 27.99 % of the total variability with the Eigen value of 1.68. The remaining variability of 13.48 %, 9.47 %, 9.0 % and 5.41 % was consolidated in component 3, component 4, component 5 and component 6 by various traits. The cumulative variance of 94.59 % of total variation among six characters was explained by the first five axes. Thus the results of principal component analysis used in the study have revealed the high level of genetic variation and the traits contributing for the variation was identified. Hence this population panel can be utilized for trait improvement in breeding programs for the traits contributing for major variation.
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