• M. Venkatesan
• P. Karthikeyan

The present investigation consists of forty rice genotypes and the experiment was conducted during 2016 in Randomized Block Design with three replications. The data were recorded for eight economic traits to study genetic variability, heritability, genetic advance and diversity analysis. Analysis of variance among fourty genotypes showed significant differences for all traits studied. Highest genotypic co-efficient of variation (GCV) and phenotypic co-efficient variation (PCV) was observed for grain yield per plant followed by number of panicles per plant. Indicating that these characters could be used as selection parameters for crop improvement. Highest heritability were observed for all the traits studied. High genetic advance as percent of mean were observed for grain yield per plant and followed by thousand grain weight, indicating predominance of additive gene effects and possibilities of effective reelection for the improvement of these traits. In clustering pattern grouped in to six clusters revealed that considerable diversity existed in and both clusters. Therefor keeping in view of yield potential and other characteristics, it is suggested that hybridization might be carried out among distantly related parents to clusters II, IV, V and VI could be suitable for grain yield and other characteristics in hybridization programme to achieve desired sergeants.

Variability, heritability, genetic advance and diversity.

"VARIABILITY, HERITABILITY GENETIC ADVANCE AND GENETIC DIVERSITY ANALYSIS FOR ECONOMIC TRAITS IN RICE (Oryza sativa) GENOTYPES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.342-358, April-2019, Available :http://www.jetir.org/papers/JETIR1904250.pdf

"VARIABILITY, HERITABILITY GENETIC ADVANCE AND GENETIC DIVERSITY ANALYSIS FOR ECONOMIC TRAITS IN RICE (Oryza sativa) GENOTYPES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp342-358, April-2019, Available at : http://www.jetir.org/papers/JETIR1904250.pdf