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Vol. 12, Issue 12 (2023)

Variability and association parameters unriddle the genetic architecture of yield and yield attributes in rice [Oryza sativa (L.)] genotypes

Author(s):
M Sudhir Deepak, Monika S and Praveen Sampath Kumar
Abstract:
The experiment was conducted to assess the variation prevailing in forty rice genotypes and also to study the relationship between the yield and its contributing traits. Nine traits including days to fifty percent flowering, plant height, tiller count and panicle number plant-1, panicle length, grains per panicle, spikelet fertility, 1000 grain weight and grain yield per plant were observed. High PCV and GCV was noticed in plant height, tiller count/plant, number of panicles/plant, number of grains/panicle, spikelet fertility and thousand grain weight. The difference between PCV and GCV was low, indicating that the genotype contributes more to the expression of the trait. All the traits exhibited high GAM and moderate to high heritability, indicating that the yield components under study are the culmination of additive gene action. This will aid in an effective selection process. Correlation studies showed that days to 50% flowering had a significant positive relationship with grain yield/plant. Path analysis, while computing the direct and indirect effect revealed that days to 50% flowering and 1000 grain weight had positive direct effect towards grain yield per plant. Thus, these traits can be used in indirect selection for grain yield per plant.
Pages: 1128-1132  |  102 Views  58 Downloads


The Pharma Innovation Journal
How to cite this article:
M Sudhir Deepak, Monika S, Praveen Sampath Kumar. Variability and association parameters unriddle the genetic architecture of yield and yield attributes in rice [Oryza sativa (L.)] genotypes. Pharma Innovation 2023;12(12):1128-1132.

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