Diallel Analysis for Yield and Yield Components in Rice (Oryza sativa L.) Tiwari Girish Chandra1,*, Sirohi Sumanpal Singh2,** 1Department of Plant Breeding & Genetics, PND Agriculture College, Gajsinghpur, 335024, Affiliated with SKRAU Bikaner District-Sri Ganganagar, Rajasthan, India-335024 2Department of Genetics & Plant Breeding, Kisan Post Graduate College, Simbhaoli, Hapur, Affiliated with CCS University Meerut *email: girishtiwari2012@gmail.com
** dr.spssirohi63@gmail.com
Online published on 15 December, 2016. Abstract Ten diverse genotypes of rice (Oryza sativa L.) were crossed in a diallel fashion to study gene action as well as their combining ability and major yield components for 12 quantitative characters. Combining ability analysis suggested that additive gene action were involved in the inheritance of days to 50% flowering, days to maturity, plant height, number of leaves per tiller, number of spikelets per panicle. Non additive gene action was predominant for panicle length, panicle number per plant, 1000 grain weight, grain yield per plant, straw yield per plant, total biological yield and harvestindex. Amongthe parents, I.R.50, Ratna, Saket 4, Pusa 150 showed significant gca effects for more than one desirable trait indicating their utility in heterosis breeding programme. Dominance component was relatively smaller than the additive component for all the characters, except, panicle number per plant, 1000 grain weight, straw yield per plant and total biological yield per plant. The values of H1 were higher than those of D indicate the predominance of non-additive genetic variance to control these characters under study. F component was mostly indicating that dominant allels were more frequent than the recessive alleles. H2 component was smaller than H1, indicating negative allels in the loci governing the character. Heritability in narrow sense was observed to be low for all the characters except for number of spikelets per panicle. Component E was found slightly high for days to maturity and number of spikelets per panicle. Knowledge of components of genetic variation helps in formulating the most efficient breeding methodology. Top Keywords Diallel analysis, combining ability, gca effects, additive and non-additive gene systems, Genetic parameters. Top |