Journal of Pharmacognosy and Phytochemistry
Vol. 8, Issue 3 (2019)
Assessment of genetic variability, correlation and path association for yield and yield components in aromatic non-basmati rice
Sudip Bhattachraya and Nihar Ranjan Chakraborty
Twenty eight genotypes were grown in a randomized complete block design with three replications for two kharif seasons (2015-2016). The analysis of variance revealed that mean squares due to genotypes for all the sixteen quantitative characters were significant indicating presence of genetic variability. Coefficient of variability (CV) was highest in harvest index followed by number of productive tillers per plant. The estimates of GCV and PCV value for number of panicle, harvest index, spikelet density, showed higher differences which indicated the greater role of environmental factor influencing the expression of this character. High to moderate estimates of heritability accompanied with high to moderate genetic advance for number filled grain, days to 50% flowering, grain yield per plant indicated the predominance of additive gene action for the expression of these characters. Grain yield per plant was found to be positively and significantly correlated with agronomical traits at both genotypic and phenotypic levels indicating the importance of these characters for yield improvement. Phenotypic and genotypic path co-efficient revealed that greater emphasis during selection of characters should be given on number of panicle/plant, primary branch, number of filled grain/panicle and test weight for improvement of grain yield.
Pages: 1907-1914 | 803 Views 280 Downloads
Sudip Bhattachraya and Nihar Ranjan Chakraborty. Assessment of genetic variability, correlation and path association for yield and yield components in aromatic non-basmati rice. J Pharmacogn Phytochem 2019;8(3):1907-1914.