Genetic Variability, Heritability and Genetic Advance for Yield and Yield Related Traits in Rice (Oryza Sativa L.)

Aims: To evaluate genetic variability, heritability, and genetic advance for key agronomic traits in rice to identify traits with high potential for selection and improvement in breeding programs. Experimental Design: The experiment was conducted in a randomized block design (RBD) with three replications. Place and Duration of Study: Regional Sugarcane and Rice Research Station (RS&RRS), Rudrur, Nizamabad, during the kharif 2022 season. Methodology: Eighteen Advanced Varietal Trial (AVT) entries were evaluated with a spacing of 20 cm × 15 cm. Data were recorded from five randomly selected plants per entry in each replication for agronomic and yield-related traits: days to 50% flowering (DFF), plant height (PH), panicle length, number of panicles per square meter, filled grains per panicle, 1000-grain weight, and grain yield per hectare (GY/ha). Analysis of variance (ANOVA) and genetic parameters, including environmental coefficient of variation (ECV), genotypic and phenotypic coefficients of variation (GCV and PCV), heritability (h²), and genetic advance as a percentage of the mean (GAM), were calculated using Windostat Version 9.1. Results: The ECV was low across all traits, indicating minimal environmental influence. GCV was low for DFF (4.957%) and PH (4.789%) but moderate for filled grains per panicle (15.874%) and 1000-grain weight (16.33%). PCV was slightly higher than GCV for most traits, confirming limited environmental effects. Heritability ranged from medium (37.4% for GY/ha) to very high (99.7% for 1000-grain weight). GAM was high for filled grains per panicle (31.96%) and 1000-grain weight (33.586%), indicating strong potential for genetic improvement. Conclusion: Traits with high heritability and genetic advance, such as filled grains per panicle and 1000-grain weight, are ideal for selection. These findings will aid in enhancing rice breeding programs through targeted genetic improvement.

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Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2024-12-31
DOI
https://doi.org/10.9734/jabb/2024/v27i121890
Citations
1
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
0.60
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article

Genetic Variability, Heritability and Genetic Advance for Yield and Yield Related Traits in Rice (Oryza Sativa L.)

Bandela Edukondalu, B. Soundharya, G.Narender, A. Dinesh
1 citations
Journal of Advances in Biology & Biotechnology
Rice Cultivation and Yield Improvement
0.60
article

Genetic Variability, Heritability and Genetic Advance for Yield and Yield Related Traits in Rice (Oryza Sativa L.)

Bandela Edukondalu, B. Soundharya, G.Narender, A. Dinesh
article en
1 citations

Abstract

Aims: To evaluate genetic variability, heritability, and genetic advance for key agronomic traits in rice to identify traits with high potential for selection and improvement in breeding programs. Experimental Design: The experiment was conducted in a randomized block design (RBD) with three replications. Place and Duration of Study: Regional Sugarcane and Rice Research Station (RS&RRS), Rudrur, Nizamabad, during the kharif 2022 season. Methodology: Eighteen Advanced Varietal Trial (AVT) entries were evaluated with a spacing of 20 cm × 15 cm. Data were recorded from five randomly selected plants per entry in each replication for agronomic and yield-related traits: days to 50% flowering (DFF), plant height (PH), panicle length, number of panicles per square meter, filled grains per panicle, 1000-grain weight, and grain yield per hectare (GY/ha). Analysis of variance (ANOVA) and genetic parameters, including environmental coefficient of variation (ECV), genotypic and phenotypic coefficients of variation (GCV and PCV), heritability (h²), and genetic advance as a percentage of the mean (GAM), were calculated using Windostat Version 9.1. Results: The ECV was low across all traits, indicating minimal environmental influence. GCV was low for DFF (4.957%) and PH (4.789%) but moderate for filled grains per panicle (15.874%) and 1000-grain weight (16.33%). PCV was slightly higher than GCV for most traits, confirming limited environmental effects. Heritability ranged from medium (37.4% for GY/ha) to very high (99.7% for 1000-grain weight). GAM was high for filled grains per panicle (31.96%) and 1000-grain weight (33.586%), indicating strong potential for genetic improvement. Conclusion: Traits with high heritability and genetic advance, such as filled grains per panicle and 1000-grain weight, are ideal for selection. These findings will aid in enhancing rice breeding programs through targeted genetic improvement.

Journal of Advances in Biology & BiotechnologyVol. 27(12)
Professor Jayashankar Telangana Agricultural University (IN)
Openalex Percentile: Top 20%
Rice Cultivation and Yield Improvement
0.60
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