Genetic Divergence Analysis for Yield and Quality Traits in Rice (Oryza sativa L.) Germplasm under Irrigated Conditions
Jalleni Sai Sree *
Sam Higginbottom University of Agriculture, Technology and Sciences, India.
Gaibriyal M. Lal
Sam Higginbottom University of Agriculture, Technology and Sciences, India.
Pathlavath Suman
Sam Higginbottom University of Agriculture, Technology and Sciences, India.
*Author to whom correspondence should be addressed.
Abstract
The present investigation was carried out to conduct genetic divergence analysis for yield and quality traits in rice (Oryza sativa L.) germplasm under irrigated conditions. The experiment was conducted at crop research farm, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences. Prayagraj. The experiment was performed with 40 rice genotypes with 13 quantitative characters and 8 qualitative characters. Analysis of variance revealed that all the genotypes showing significant at 1% level of significance for all the characters. According to mean table Shiats dhan-7, Shiats dhan-2 show greater mean in grain yield per plant. Genetic parameters show PCV greater than GCV in all the characters, the traits Grain yield per plant and biological yield exhibits greater in both GCV and PCV. Heritability showing high range of estimates in all the characters as Days to maturity, Days to 50% flowering exhibit greater among all the characters. Number of spikelets per panicle, biological yield shows highest among the characters in Genetic advance. According to D2 analysis, the total genotypes are divided into five clusters, Cluster II showing greater in Intra cluster distance, Cluster V and Cluster I combination showing greater in Inter cluster distances. The Cluster IV showing highest among the clusters in the mean of Grain yield per plant. According to percentage contribution Grain yield per plant showing highest among the characters. Quality analysis had done on 35 genotypes, based upon quality characters Hulling percentage showing genotype Ajaya greater and genotype MTU-2032 shows greater in Kernel elongation ratio.
Keywords: Rice, genetic divergence, D2 analysis, clusters analysis
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