International Journal of Statistics and Applied Mathematics
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2024, Vol. 9, Special Issue 6

Genetic diversity and character association analysis of aromatic grain type non-basmati rice (Oryza sativa) genotypes


Author(s): Ratri Painkra, Yogeshwar Sidar, Namrata Masaram, Kiran Tigga and Harish Pandey

Abstract: The present investigation was conducted in randomized block design (RBD) with two replications during kharif season on 2023-24 at the research farm of IGKV Raj Mohini Devi College of Agriculture and Research Station, Ambikapur, Chhattisgarh. A total of forty aromatic type non-basmati rice genetically diverse genotypes were considered for the study. Analysis of variance was found to be significant for all the traits, indicate that there is existence of genetic variability for all the traits varying from lower to higher coefficient of variance. Based on D2 statistic, the 40 aromatic type non-basmati rice genotypes were grouped into six clusters. The highest intra cluster distance was recorded in cluster I and the lowest intra-cluster distance in cluster II. The highest inter cluster distance was recorded cluster V and VI (6655.99), and the lowest inter cluster distance was recorded between cluster III and V (404.54). It helps in the selection of divergent parents for their exploitation in hybridization programs.

Pages: 90-94 | Views: 13 | Downloads: 2

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How to cite this article:
Ratri Painkra, Yogeshwar Sidar, Namrata Masaram, Kiran Tigga, Harish Pandey. Genetic diversity and character association analysis of aromatic grain type non-basmati rice (Oryza sativa) genotypes. Int J Stat Appl Math 2024;9(6S):90-94.

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