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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 5
First page : (531) Last page : (538)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8334
Correlation Studies on Yield and Yield Contributing Traits in Rice (Oryza sativa L.)
Ally Mwichande Russinga1,3* , A. Srividhya2, V.L.N. Reddy1 and P. Latha2
1Department of Genetics and Plant Breeding, S.V. Agricultural College, ANGRAU, India
2Regional Agricultural Research Station, Tirupati, ANGRAU, India
3Tanzania Agricultural Research Institute (TARI), Ifakara Center, Ifakara, Tanzania
*Corresponding Author E-mail: arussinga@yahoo.com
Received: 10.08.2020 | Revised: 18.09.2020 | Accepted: 25.09.2020
ABSTRACT
The rice genotype panel comprised of 30 varieties which includes indica group, landraces, improved varieties, interspecific derivatives (Oryza glaberrima× Oryza sativa), aromatic and japonica rice etc. were evaluated for yield and yield contributing traits, during kharif 2019. ANOVA test showed highly significant variation for the twelve traits under study. The correlation analysis showed a total of 28 significant associations between 12 yield and yield- related traits measured under study. Very high significant positive correlation in the present study was detected between number of filled grains per panicle (FG) and total grain number per panicle (GN) (r2=0.948**) followed by grain length (GL) and grain length to width ratio (GLW) (r2=0.799**) while, very high significant negative correlation was detected between grain width (GW) and grain length to width ratio (GLW) (r2= -0.847**) followed by number of chaffy grains per panicle (CG) and spikelet fertility (SF) (r2= -0.832**). This indicates the effect of selections for strongly associated traits are dependent and worked in directional manner either in positive direction or in negative direction. Therefore, a breeder should be well understood the effect of a trait on other prior handling with a trait improvement breeding programme.
Keywords: Rice (Oryza sativa L.), Yield components, Correlation coefficients, Quantitative traits
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Russinga, A.M., Srividhya, A., Reddy, V.L.N., & Latha, P. (2020). Correlation Studies on Yield and Yield Contributing Traits in Rice (Oryza sativa L.), Ind. J. Pure App. Biosci. 8(5), 531-538. doi: http://dx.doi.org/10.18782/2582-2845.8334