Correlation and path analysis in new plant type and indica lines of rice
V. G. Shobhana, Kaliyaperumal Ashokkumar, Adhimoolam Karthikeyan, R Nirmal Kumar, A. Sheeba, P. Vivekanandan
Abstract
V. G. Shobhana, Kaliyaperumal Ashokkumar, Adhimoolam Karthikeyan, R Nirmal Kumar, A. Sheeba, P. Vivekanandan
Abstract
The present study included that Line x Tester mating of nine new plant type lines that are developed in the International Rice Research Institute, Philippines and four high yielding indica rice varieties (Oryza sativa L.) of Tamil Nadu, a southern state in India. The observations recorded on ten biometrical traits were subjected to statistical analysis to study the association between yield and yield contributing traits. The studies on association of grain yield indicated that intensive selection based on number of productive tillers plant-1, panicle length, number of grains panicle-1 and harvest index will be effective in improving grain yield as they showed positive and significant correlation with grain yield. Partitioning the correlation coefficient with direct and indirect effects revealed that number of productive tillers plant-1, number of grains panicle-1 and 100 grain weight are the major yield contributing characters on which selection pressure has to be applied for improving grain yield.
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The present study included that Line x Tester mating of nine new plant type lines that are developed in the International Rice Research Institute, Philippines and four high yielding indica rice varieties (Oryza sativa L.) of Tamil Nadu, a southern state in India. The observations recorded on ten biometrical traits were subjected to statistical analysis to study the association between yield and yield contributing traits. The studies on association of grain yield indicated that intensive selection based on number of productive tillers plant-1, panicle length, number of grains panicle-1 and harvest index will be effective in improving grain yield as they showed positive and significant correlation with grain yield. Partitioning the correlation coefficient with direct and indirect effects revealed that number of productive tillers plant-1, number of grains panicle-1 and 100 grain weight are the major yield contributing characters on which selection pressure has to be applied for improving grain yield.
Key concepts: Panicle, Path coefficient, Path analysis (statistics), Oryza sativa, Biology, Agronomy, Grain yield, Yield (engineering)