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Research Article Open access CC BY 4.0

Correlation and Path Coefficient Analysis Studies in Rice Hybrids (Oryza sativa L.)

Ch. Sucharitha, K. Sukumar, B. Laxmi Prasanna, P. Swarna Sree

International Journal of Environment and Climate Change · pp. 972–980 · Published 14 Jun 2022

10.9734/ijecc/2022/v12i1030887

Abstract

The present investigation was carried out at Agricultural Polytechnic, Polasa, Jagtial, Telangana, to understand the correlation and path analysis for yield and yield attributing traits for 38 genotypes including 3 checks in Randomized Block Design replicated thrice during Rabi, 2022. Association studies revealed that genotypic correlation values were higher than that of phenotypic correlations. Important traits i.e., spikelet fertility (0.8151**/0.8199) followed by 1000 grain weight (0.7889**/0.7956) exhibited the highest positive significant association with single plant yield. Path coefficient analysis also revealed that the traits spikelet fertility and 1000 grain weight had reported the highest positive direct effect of on single plant yield at both genotypic and phenotypic levels. Hence, these traits could be used as selection indices for heterotic rice hybrid development.

Correlation path coefficient analysis rice

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Cited by 3

Correlation and Path Analysis of Association among Yield, Micronutrients, and Protein Content in Rice Accessions Grown Under Aerobic Condition from Karnataka, India

Nguyen Phuong Thuy, Nguyen Ngoc Trai, Bui Dang Khoa · Plant Breeding and Biotechnology · 2023

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