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Vol. 13, Issue 12 (2024)

Multivariate analysis for diversity studies in upland rice (Oryza sativa L.)

Author(s):
Aishwarya M, Suresh BG and Vani Praveena M
Abstract:
The present investigation was conducted to examine the genetic diversity existing among 53 advanced breeding lines of upland rice, during kharif 2019 in randomized block design with three replications. The data was recorded for thirteen quantitative characters to study the degree of divergence among the germplasm lines. The 53 advanced breeding lines were grouped into 8 clusters out which clusters Ⅳ and Ⅶ are largest each comprising of 11 lines. The inter cluster distances were higher than the intra-cluster distance reflecting wider genetic diversity among the genotypes of different groups. PCA revealed 13 principal components out of which 12 components have eigen values more than 0.5 and first seven principal components have revealed 91.92% genetic variation. Based on PC scores SHUATS UPR-331 and SHUATS UPR-334 were observed in PC1 and PC3, while oneline SHUATS UPR-344, was common to PC1, PC2, PC3, and PC5, indicating its relation to yield-related traits and flowering habit. SHUATS UPR-344 belongs to Cluster III, which was different form SHUATS UPR-331 and SHUATS UPR-334 (Cluster VII) thus providing a favorable opportunity to generate significant variation through crosses between these lines belonging to different clusters, potentially leading to the development of novel high-yielding and early-maturing upland rice varieties.
Pages: 04-10  |  134 Views  73 Downloads


The Pharma Innovation Journal
How to cite this article:
Aishwarya M, Suresh BG, Vani Praveena M. Multivariate analysis for diversity studies in upland rice (Oryza sativa L.). Pharma Innovation 2024;13(12):04-10.

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