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

Autor: A. Meena, K. Gopala Krishna Murthy, S. Madhusudhan Reddy, S. Manasa
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Environment and Climate Change. :442-451
ISSN: 2581-8627
DOI: 10.9734/ijecc/2022/v12i1130992
Popis: 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.
Databáze: OpenAIRE