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Vol. 7, Issue 6 (2018)

Correlation and path coefficient analysis in rice (Oryza sativa L.)

Author(s):
Sonu Kumar, MP Chauhan, Amit Tomar, Ravindra Kumar Kasana and Nimit Kumar
Abstract:
The results were indicated that, biological yield per plant, harvest index, spikelet fertility, 1000-grain weight, L/B ratio, plant height and panicle length showed positive and significant correlation with grain yield per plant to emerge as most important associates of grain yield in rice. Path analysis identified biological yield per plant followed by harvest-index as most important direct yield contributing traits and biological yield per plant followed by 1000-grain weight and panicle length exhibited high order of positive indirect effect as most important indirect components which merit due consideration at time of devising selection strategy aimed at developing high yielding varieties in rice. Out of 82 entries tested under natural condition, none were found to be immune or resistant. However, 30 genotypes were found moderately resistant, 47 genotypes moderately susceptible, while 3 genotypes susceptible and rest two genotypes were highly susceptible.
Pages: 20-26  |  1767 Views  566 Downloads


The Pharma Innovation Journal
How to cite this article:
Sonu Kumar, MP Chauhan, Amit Tomar, Ravindra Kumar Kasana, Nimit Kumar. Correlation and path coefficient analysis in rice (Oryza sativa L.). Pharma Innovation 2018;7(6):20-26.

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