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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 3
First page : (228) Last page : (235)
Article doi: : http://dx.doi.org/10.18782/2582-2845.7925

Genetic Diversity Studies for Yield and Yield Component Traits using Principal Component Analysis in Rice (Oryza sativa L.)

K. Sudeepthi^1*, T. Srinivas², B.N.V.S.R. Ravi Kumar³, Jyothula D.P.B.⁴ and Sk. Nafeez Umar^5
1Research Scholar, ²Professor and Head, Department of Genetics & Plant Breeding,
⁵Assistant Professor, Department of Statistics and Computer Application,
Agricultural College, Bapatla, 522101, Andhra Pradesh, India
³Senior Scientist, Department of Genetics & Plant Breeding,
Regional Agricultural Research Station, Maruteru, 534122, Andhra Pradesh, India
⁴Associate Professor, Department of Genetics & Plant Breeding,
Administrative office, LAM, Guntur, 522034, Andhra Pradesh, India
*Corresponding Author E-mail: sudeepthisep3@gmail.com
Received: 19.01.2020  |  Revised: 24.02.2020   |  Accepted: 3.03.2020 

 ABSTRACT

The present investigation was carried out to assess the diversity among 107 rice genotypes with regards to yield and yield component traits. Principal component analysis was utilized to evaluate the variation and to estimate the relative contribution of various traits for total variability. Results revealed three principal components with eigen value > 1. These components contributed for a total variability of 69.412 per cent. Component 1 (PC 1) had contributed maximum of 33.594 per cent while PC 2 had contributed to 22.566 per cent and PC 3 had contributed to 13.251 per cent towards the total variability. The characters, namely, panicle length, days to 50 per cent flowering, ear bearing tillers per plant, plant height and test weight were observed to explain maximum variance in PC 1. The results of 2D scatter diagram revealed RTCNP 9 and MTU 1006 genotypes to be most diverse. Hybridization of these diverse genotypes is therefore predicted to result in desirable transgressive segregants. 

Keywords: Genetic Divergence, Principal Component, Rice, Yield

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Sudeepthi, K., Srinivas, T., Ravi Kumar, B.N.V.S.R., Jyothula, D.P.B., & Umar, S.N. (2020). Genetic Diversity Studies for Yield and Yield Component Traits using Principal Component Analysis in Rice (Oryza sativa L.), Ind. J. Pure App. Biosci. 8(3), 228-235. doi: http://dx.doi.org/10.18782/2582-2845.7925