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Estimation of genetic variability, heritability and genetic advance for grain yield components in rice (Oryza sativa L.)

Journal of Pharmacognosy and Phytochemistry · 2017 · Vol. 6(4) · pp. 1437–1439

Abstract

The present investigation consists of 23 rice genotypes and the experiment was conducted during Kharif-2016 in Randomized Block Design with three replications. The data were recorded for 13 quantitative characters to study genetic variability, heritability, genetic advance, correlation coefficient analysis and path analysis. On the basis of mean performance, high seed yield per plant were exhibited by the genotypes LSD-1, TP29654, and TP29737. Analysis of variance among 23 genotypes showed significant difference for all characters studied. Highest genotypic coefficient of variation (GCV) & phenotypic coefficient variation (PCV) was observed for seed yield per plant followed by flag leaf length, number of spikelets per panicle, biological yield per plant and panicles per plant indicating that these characters could be used as selection for crop improvement. High estimates of heritability were observed for plant height, flag leaf length, biological yield per plant, spikelets per panicle, panicles per plant. High genetic advance were observed for number of spikelets per panicle and plant height, indicating predominance of additive gene effects and possibilities of effective selection for the improvement of these characters.

Genetics and Plant BreedingRice Cultivation and Yield ImprovementGABA and Rice ResearchPanicleHeritabilityKharif cropBiologyOryza sativaPath coefficientRandomized block designGenetic variabilityGenetic variationCoefficient of variation
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