Studies on Correlation and Path Coefficient Analysis of Yield and Yield Attributing Characters in Rice Landraces (Oryza sativa L.)
S. Manasa, S. Madhusudhan Reddy, K. Gopala Krishna Murthy, A. Meena
International Journal of Environment and Climate Change · pp. 442–451 · Published 16 Jul 2022
10.9734/ijecc/2022/v12i1130992Abstract
In order to characterise the correlation and path analysis for yield and yield attributing traits for 66 genotypes including 4 checks in Augmented Block Design replicated thrice during Kharif, 2021, the present investigation was conducted at the Agricultural College, Aswaraopet, Bhadradri, Telangana. The most positive and significant correlation between important traits and grain yield per plant was found to be between the number of panicles per plant and the number of filled grains per panicle indicating yield can be improved through improvement of these traits. The features number of panicles per plant and number of filled grains per panicle had reported the strongest positive direct effect on grain yield per plant, and may be considered as excellent selection criteria for yield improvement, according to path coefficient analysis.
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