Analysis of Rice (Oryza sativa L.) Accessions Genetic Variability Related to Yield  and Its Components

Amrutlal R. Khaire; S. K. Singh; Habde Sonali Vijay; K. Mounika; D. K. Singh; . Jayasudha; Akanksha Singh; Prasanta Kumar Majhi; Kartik Sahadeo Madankar

doi:10.9734/cjast/2022/v41i333950

Research Article Open access CC BY 4.0

Analysis of Rice (Oryza sativa L.) Accessions Genetic Variability Related to Yield and Its Components

Amrutlal R. Khaire, S. K. Singh, Habde Sonali Vijay, K. Mounika, D. K. Singh, . Jayasudha, Akanksha Singh, Prasanta Kumar Majhi, Kartik Sahadeo Madankar

Current Journal of Applied Science and Technology · pp. 41–49 · Published 20 Sep 2022

10.9734/cjast/2022/v41i333950

Abstract

This experiment was conducted to study the variability parameters of forty rice genotypes to evaluate genetic parameters i.e., Genotypic variability coefficient (GVC), Phenotypic variability coefficient (PVC), Heritability (H) and mean percent of Genetic advance (MGA) for nine different yield and yield-contributing traits at Agriculture Research Farm, Banaras Hindu University, Varanasi during Kharif-2018. The data were collected for nine yield and yield attributing traits subjected to alpha lattice design and analyzed in R-software. The PCV magnitude was found slightly higher than GCV indicating that this trait is less influenced by environmental factors. The highest GCV and PCV are found for yield (37.70 % to 38.27% respectively) followed by number of tillers per plant number of effective tillers per plant (GCV: 19.47%, PCV: 21.04%) and plant height (GCV: 14.99, PCV: 16.40). high heritability (>70%) coupled with high percent of mean genetic advance (MGA) (>20%) were recorded for days to fifty percent flowering, days to maturity, plant height, number of effective tillers, panicle length, spikelet fertility, test weight, grain yield per plant and harvest index indicating that the simple selection will be effective for this trait improvement.

Genetic advance genetic variability heritability rice

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Amrutlal R. Khaire, S. K. Singh, Habde Sonali Vijay, K. Mounika, D. K. Singh, . Jayasudha, Akanksha Singh, Prasanta Kumar Majhi, Kartik Sahadeo Madankar (2022). Analysis of Rice (Oryza sativa L.) Accessions Genetic Variability Related to Yield and Its Components. Current Journal of Applied Science and Technology , 41–49. https://doi.org/10.9734/cjast/2022/v41i333950

Affiliations

Amrutlal R. Khaire — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
S. K. Singh — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
Habde Sonali Vijay — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
K. Mounika — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
D. K. Singh — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
. Jayasudha — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
Akanksha Singh — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
Prasanta Kumar Majhi — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.
Kartik Sahadeo Madankar — Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P. - 221005, India.

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