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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

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.2021.10(7): 557-564
DOI: https://doi.org/10.20546/ijcmas.2021.1007.061


Cluster Analysis and Correlation Study for Yield Attributing Traits in Aromatic Rice Landraces (Oryza sativa L.)
Burman*, S. K. Nair, A. K. Sarawgi and S. S. Rao
Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya (IGKV), Raipur -492012, Chhattisgarh, India
*Corresponding author
Abstract:

Quantum of genetic variability and the extent to which heritable and non-heritable variations are related to the characters, determines the extent of genetic amelioration. The present investigation was carried out in kharif, 2019 to understand the clustering pattern and correlation for yield attributing traits in aromatic landraces of rice. Here 90 aromatic rice landraces along with six check varieties were evaluated for 10 quantitative characters. Cluster analysis divided these 96 rice genotypes into 4 clusters. Highest inter cluster distance was observed between Cluster II and III suggesting maximum variability between them. Maximum heterotic crosses can be obtained by crossing between genotypes of Cluster II and Cluster III which can be used for rice improvement programme. Correlation analysis revealed that grain yield plant-1 was having positive and significant correlation with panicle weight, thousand grain weight and grain length indicating the importance of these traits for yield improvement. Selection on any of these characters will have a direct response on grain yield of aromatic rice.


Keywords: Aromatic rice, cluster analysis, correlation analysis, rice, landraces
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How to cite this article:

Burman, M., S. K. Nair, A. K. Sarawgi and Rao, S. S. 2021. Cluster Analysis and Correlation Study for Yield Attributing Traits in Aromatic Rice Landraces (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 10(7): 557-564. doi: https://doi.org/10.20546/ijcmas.2021.1007.061