Advances in Life Sciences
Year : 2016, Volume : 5, Issue : 11
First page : ( 4716) Last page : ( 4726)
Print ISSN : 2278-3849. Online ISSN : 2278-4705.

Multivariate Analysis of Indigenous Rice Germplasm Based on Agro-Morphological Variation

Parikh Mangla, Sharma Bhawana*

Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidhalaya, Raipur, Chhattisgarh, India-492 006

*email: bhavana.s.pandey1980@gmail.com

Online published on 2 January, 2017.

Abstract

The study was conducted to assess the genetic diversity for various rice traits and their association with yield. The experiment was performed in the field condition and data on various plant parameters for each genotype were recorded at different developmental stages. 190 rice genotypes were evaluated on the basis of various agromorphological traits in experiment. There was a significant variation for all the traits studied among the genotypes. The maximum variation was observed in spikelet sterility percent (48.56%) followed by grain yield per plant (25.87%) and effective tillers per plant (18.73%). Significant correlation with yield was also noticed for 50% flowering (0.392) and panicle length (0.292). Among the studied characters, the highest correlation corresponded to the panicle length and filled spikelet per panicle (0.709). All the traits were also studied through Principal Component Analysis (PCA). The combined variation among these traits was 73.9%, contributed by four Principal Components. The clustering pattern showed maximum number of genotypes (124) was including in cluster 1, while cluster 6, 7 and 8 included only single genotype. It is concluded that variation exists in the germplasm, which provides opportunities for this collection to be useful for genetic improvement.

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Keywords

Rice, Correlation, PCA, Agromorphological traits, clusters.

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