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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:5, May, 2018

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

Int.J.Curr.Microbiol.App.Sci.2018.7(5): 494-500
DOI: https://doi.org/10.20546/ijcmas.2018.705.062


Genetic Divergence for Quantitative and Quality Traits in Rice (Oryza sativa L.)
Thippannagari Radha, P. Satheesh Kumar and K. Saravanan
Department of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalainagar 608 002, India
*Corresponding author
Abstract:

An investigation was carried out with 42 genotypes of rice to study the nature and magnitude of genetic divergence using Mahalanobis D2 statistics. Based on 12 morphological quantitative and quality characters namely, days to 50 per cent flowering, plant height, number of productive tillers per plant, panicle length, hundred grain weight, grain length, grain breadth, grain L/B ratio, kernel length, kernel breadth, kernel L/B ratio and grain yield per plant, these genotypes were grouped into six clusters. Cluster III with sixteen genotypes was the largest cluster followed by cluster VI with thirteen genotypes. Cluster I (7 genotypes), clusters II, IV and V comprised two genotypes each were also observed. Geographical origin was not found to be a good parameter of genetic divergence. The intra cluster distance was maximum (D=174.228) in cluster VI. The maximum inter cluster distance (D=230.709) was recorded between clusters II and VI. Cluster VI recorded highest mean value for hundred grain weight, kernel length, kernel L/B ratio and grain yield per plant. Grain yield per plant (46.69 per cent) followed by kernel length (18.28 per cent) and hundred grain weight (14.96 per cent) contributed maximum to total divergence. Hybridization among genotypes from II and VI which had maximum inter cluster distances and desirable values for quantitative and quality traits is likely to produce heterotic combinations and wide variability in segregating generations.


Keywords: Cluster analysis, Quantitative, Quality, Rice

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How to cite this article:

Thippannagari Radha, P. Satheesh Kumar and Saravanan, K. 2018. Genetic Divergence for Quantitative and Quality Traits in Rice (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 7(5): 494-500. doi: https://doi.org/10.20546/ijcmas.2018.705.062
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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