Studies on Correlation and Path Coefficient Analysis of Yield and Yield Attributing Characters in Rice Landraces (Oryza sativa L.)

Manasa, S. and Reddy, S. Madhusudhan and Murthy, K. Gopala Krishna and Meena, A. (2022) Studies on Correlation and Path Coefficient Analysis of Yield and Yield Attributing Characters in Rice Landraces (Oryza sativa L.). International Journal of Environment and Climate Change, 12 (11). pp. 442-451. ISSN 2581-8627

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Abstract

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.

Item Type: Article
Subjects: OA Library Press > Geological Science
Depositing User: Unnamed user with email support@oalibrarypress.com
Date Deposited: 13 Jan 2023 11:25
Last Modified: 25 May 2024 08:55
URI: http://archive.submissionwrite.com/id/eprint/55

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