Genetic association and diversity analysis for yield and yield attributing traits in rice (Oryza sativa L.)

Abstract

The present investigations were carried out on forty-nine rice genotypes to select the better lines for yield traits in randomized block design with three replications during kharif 2023. Correlations studies showed that significant positive correlation of grain yield/plot was obtained with harvest index, biological yield/plot, panicle length, number of filled spikelets/panicle, 1000 grain weight and spikelet fertility ratio. Considering direct effects of yield contributing characters on grain yield, number of filled spikelets/panicle showed highest positive direct effect on grain yield followed by harvest index, biological yield/plot, days to 50 % flowering, plant height, flag leaf length and panicle length. In Principal Component analysis the total variance was partitioned into five PCs contributing maximum total diversity between the genotypes due to various studied traits. It futher revealed that eleven genotypes were more divergent among the studied genotypes.