Skip to content
Research Article Open access CC BY 4.0

Genetic Divergence and Variability Assessment of Rice (Oryza sativa L.) Genotypes for Yield and its Contributing Traits

R. J. Chhodavadiya, P. B. Patel, Patel Harsh, Y. K. V. Naveen, S. P. Bharda, Sampurna Bhattacharya

International Journal of Environment and Climate Change · pp. 1008–1016 · Published 24 Dec 2023

10.9734/ijecc/2023/v13i123764

Abstract

For over half of the world's population, rice is the primary food. An increasing population requires higher yield levels, which must be achieved. In order to construct breeding strategies and improve production, variability must be created. Fourteen distinct parameters were used to examine genetic variability in forty enhanced rice genotypes. Genotypes exhibited moderate values of GCV and PCV for effective tillers per plant, panicle length, grains per panicle, 1000 grain weight, grain yield per plant, straw yield per plant and length/birth ratio and high values for protein content indicating the greater scope of improving these characters by applying judicious selection. High heritability coupled with high genetic advance as percentage of mean showed by straw yield per plant, grain yield per plant, grains per panicle, 1000 grain weight and effective tillers per plant indicated higher additive gene action in these traits thus improvement by direct phenotypic selection over the genotypes would be worth it. D2 statistics were estimated on forty genotypes which revealed generalized distance (D) from 17.54 to 55.25 between five clusters, indicating the presence of vast diversity. Considerable higher intra and inter cluster values revealed a very interesting trend of genetic diversity. The maximum inter cluster distance was found between clusters II and III followed by clusters III and V. Based on cluster analysis intercrossing among the genotypes in distant clusters would produce highly heterotic progenies. Maximum contribution towards the divergence was exhibited by protein content followed by days to 50 per cent flowering and 1000 grain weight.

Variability heritability diversity rice grain yield

Cited by 3

Unravelling genetic variation in drought QTL pyramided lines to identify key traits for drought tolerance in rice

M. Akshaya, C. Anusha, G. Padmavathi · Indian Journal of Genetics and Plant Breeding (The) · 2026

Multi-traits Genotype Ideotype Index (MGDI) Driven Selection of Promising Long Grain Rice Genotypes for Grain Yield

M. M. Hossain, M. S. Raihan, M. M. Haque · Ecological Genetics and Genomics · 2026

Genetic Divergence in Rice (Oryza sativa L.) Germplasms based on Agro-morphological Traits using Multivariate Analysis

Sourav Paramanik, M. S. Rao, N. Chaurasia · Agricultural Science Digest - A Research Journal · 2025

Article metrics

Real usage data collected on this platform.

18

Page views

0

PDF downloads

0

Outbound clicks

3

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.