International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:6, June, 2019

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(6): 1577-1583

Genetic Divergence Studies in Rice (Oryza sativa L.) Hyrids for Yield, Yield Component Traits and Quality Parameters
M. Devi1*, D.P.B. Jyothula1, B. Krishnaveni1 and V.S. Rao2
1Department of Genetics and Plant breeding, India
2Department of Statistics and Computer applications, India
*Corresponding author

Genetic divergence was assessed among 20 rice hybrids with 15 characters from different eco-geographical regions of India using Mahalanobis’ D2 analysis. The experimental materials were evaluated during kharif- 2017 at Agricultural College Farm, Bapatla, Andhra Pradesh, India. The 20 rice hybrids were grouped into 5 clusters. Out of five clusters, maximum number 9 of genotypes are in cluster I. Cluster II is second largest with 6 genotypes followed by cluster IV with 3 genotypes. Clusters III and V possess one genotype each. The pattern of distribution of genotypes from different eco-geographical regions into various clusters was at random indicating that geographical diversity and genetic diversity were not related. Based on the perse performance and cluster mean values of characters, it can be concluded that, the hybrid S-8001 which is present in the cluster II is found to be superior over other hybrids and checks in the present study by having high mean values for the economically important characters viz., number of total grains per panicle, number of productive tillers per plant and grain yield per plant.

Keywords: Rice hybrids, Genotypes, Clusters and D2 analysis

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How to cite this article:

Devi, M., D.P.B. Jyothula, B. Krishnaveni and Rao, V.S. 2019. Genetic Divergence Studies in Rice (Oryza sativa L.) Hyrids for Yield, Yield Component Traits and Quality Parameters.Int.J.Curr.Microbiol.App.Sci. 8(6): 1577-1583. doi:
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