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Vol. 11, Issue 10 (2022)

Genetic variability, correlation and path analysis in rice (Oryza sativa L.) Genotypes

Author(s):
Kirtan Kumar, Shivendra Kumar Giri, Pratiksha Bhagat, JK Tiwari and SK Sinha
Abstract:
The experiment was conducted at the Instructional Farm, Section of G&PB, Rajmohini Devi College of Agriculture and Research Station, Ambikapur, IGKV Chhattisgarh. During Kharif season 2021-22 with a view to study the “Genetic variability, correlation and path analysis in rice (Oryza sativa L.) Genotypes”. The 56 rice genotypes were grown in the field in Randomized Block Design (RBD) with three replications. In the present investigation findings, it may be concluded that significant genetic variability was recorded, the genotype R2032-87-1-23-1 was found to be the best for yield and yield contributing traits. Heritability was found to be maximum for plant height (96.12%) with genetic advance of 37.87 whereas PCV & GCV was recorded highest for number of unfilled grains/panicle (13.18 & 11.12 respectively). Association of correlation was recorded significant & positive correlation of grain yield with plant height, tillers per meter square, 1000 grain weight, panicle length, number of filled grains /panicle, biological yield and harvest index. Path analysis revealed that the maximum direct effect was recorded for harvest index, biological yield and 1000 grain weight.
Pages: 195-200  |  576 Views  317 Downloads


The Pharma Innovation Journal
How to cite this article:
Kirtan Kumar, Shivendra Kumar Giri, Pratiksha Bhagat, JK Tiwari, SK Sinha. Genetic variability, correlation and path analysis in rice (Oryza sativa L.) Genotypes. Pharma Innovation 2022;11(10):195-200.

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