Genetic Variability, Correlation and Path Analysis Studies in Early Transplanted Rice

Prathamesh Kalpande

College of Agriculture, Nagpur, Maharashtra, India.

Milind Meshram *

ARS, Sakoli, Dist. Bhandara, Maharashtra, India.

Vaishali Borkar

ARS, Sakoli, Dist. Bhandara, Maharashtra, India.

*Author to whom correspondence should be addressed.


Abstract

Aims: The aim of this study was to evaluate the genetic variation, heritability, and direct and indirect effects of various traits on grain yield in 64 rice genotypes under early transplanted conditions.

Study Design: The study utilized a randomized block design with two replications.

Place and Duration of Study: The research was conducted at the Agriculture Research Station, Sakoli, District. Bhandara under Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India during the Kharif season of 2022.

Methodology: The experimental material comprised 64 rice genotypes along with the regional check Sakoli-6. Observations were recorded on the following traits: days to 50% flowering, days to maturity, plant height (cm), number of panicles per square meter (panicles/m²), and grain yield (kg/ha). Data were analyzed for genetic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability, genetic advance, correlation, and path analysis to determine the direct and indirect effects of these traits on grain yield in early transplanted condition.

Results: High GCV and PCV were observed for grain yield, with moderate values for the number of panicles/m², indicating significant variability conducive to improvement. Grain yield, number of panicles/m², and plant height exhibited high heritability and genetic advance. Whereas, correlation analysis showed significant positive correlations between the number of panicles/m² and grain yield, and significant negative correlations between days to 50% flowering and days to maturity with grain yield. Path analysis indicated that days to 50% flowering, followed by the number of panicles/m² and plant height, had the highest positive direct effects on grain yield.

Conclusion: The study identified the number of panicles/m² as a critical trait for selecting superior genotypes. Based on these findings, the rice genotypes RP 6496-JB 202-4-6-1-1-1-1, OR 2800-4, and KNM 13557 were recommended for further breeding programs under early transplanted conditions.

Keywords: Genetic variability, correlation analysis, path analysis, rice, early transplanting


How to Cite

Kalpande , Prathamesh, Milind Meshram, and Vaishali Borkar. 2024. “Genetic Variability, Correlation and Path Analysis Studies in Early Transplanted Rice”. International Journal of Plant & Soil Science 36 (7):128-34. https://doi.org/10.9734/ijpss/2024/v36i74714.

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References

Williams K, Mishra A, Akansha Verma, Suresh BG and Lavnya GR. Genetic variability and correlation studies for yield and yield related traits in Rice (Oryza sativa L.) genotypes. Int. J. Curr. Microbiol. App. Sci. 2021;10 (1): 752-764.

Sheena Shaik and Roopa Lavanya G. Genetic variability, heritability, correlation and path analysis of yield component characters in Rice (Oryza sativa L.) genotypes. Int. J. Environ. Clim. Change. 2023;13 (8): 2118-2127.

USDA report - India Rice Area, Yield and Production; 2024.

Available:https://ipad.fas.usda.gov/countrysummary/Default.aspx?id=IN&crop=Rice

Pasuquin E, Lafarge T and Tubana B. Transplanting young seedlings in irrigated rice fields: Early and high tiller production enhanced grain yield. Field Crops Res. 2008;105 (1-2):141-155.

Khaire AR, Singh SK, Vijay HS, Mounika K, Singh DK, Jayasudha ., Singh A, Majhi PK, Madankar KS. Analysis of Rice (Oryza sativa L.) Accessions Genetic Variability Related to Yield and Its Components. Curr. J. Appl. Sci. Technol. [Internet]. 2022 Sep. 20 [cited 2024 May 22];41(33):41-9.

Available:https://journalcjast.com/index.php/CJAST/article/view/3950

Manjunatha B, Kumara BN. Genetic Variability Analysis for Quantitative Traits in Rice (Oryza sativa L.). J. Exp. Agric. Int. [Internet]. 2019 Feb. 9 [cited 2024 May 22];30(4):1-4.

Available:https://journaljeai.com/index.php/JEAI/article/view/1239

Guleria S, Aggarwal R, Thind TS, Sharma TR. Morphological and pathological variability in rice isolates of Rhizoctonia solani and molecular analysis of their genetic variability. Journal of Phytopathology. 2007 Dec;155(11‐12):654-61.

Wright S. The analysis of variance and correlations between relative with respect to deviations from an optimum. J. Genetics. 1935;30.

Fisher RA. The correlation among relative on the supposition of Mendelian Inheritance. Trans. Royal Soc. Edinberg. 1981;52: 314-318.

Ajmera S, Kumar SS and Ravindra babu V. Evaluation of genetic variability, heritability and genetic advance for yield and yield components in rice genotypes. Int. J. Curr. Microbiol. App. Sci. 2017; 6 (10):1657-1664.

Panse VG and Sukhatme PV. Statistical methods for agricultural workers. 2nd Edn ICAR, New Delhi pp. 1961; 361.

Burton GW and Devane EH. Estimating heritability in tall fescue (Festuca arundinacea Schreb.) from replicated clonal material. Agron J. 1953; 45: 478-481.

Johanson HW, Robinson HF and Comstock RE. Estimates of genetic and environmental variability in soybean. Agron. J. 1955; 47 (7): 314- 315.

Dewey DR and Lu KH. Correlation and path coefficients analysis of components of crested wheat grass seed production. Agron. J., 1959; 51: 575-581.

Akinwale MG, Gregorio G, Nwilene F, Akinyele BO, Ogunbayo SA, and Odiyi AC. Heritability and correlation coefficient analysis for yield and its components in rice (Oryza sativa L.). Afr. J.Plant Sci. 2011; 5(3):207-212.

Kavyashree NM, Diwan JR, Mahantashivayogayya K, Lokesha R and Naik NM. Genetic variability and correlation studies on yield and yield-related traits in Rice (Oryza sativa L.) and their implications in selection. BFAIJ. 2022; 14 (1):595-600.

Ogunbayo SA, Sie M, Ojo DK, Sanni KA, Akinwale MG, Toulou B, et al. Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.) J. Plant Breed. Crop Sci. 2014; 6(11):153-159.

Kiran AK, Sharma DJ, Subbarao LV, Gireesh C and Agrawal AP. Correlation coefficient and path coefficient analysis for yield, yield attributing traits and nutritional traits in rice genotypes. J. Pharm. 2023;12 (2):1978-1983.

Singh S, Kumar V, Singh SK and Daneva V. Genetic variability, interrelation and path analysis for yield and yield characters in Indian mustard (Brassica juncea L.). Journal of oilseed Brassica. 2022; 13 (2):112-118.

Madishetty AR, Gaibriyal ML and Adarsh K. Genetic variability and correlation studies for yield and yield related traits in Rice (Oryza sativa L.) Int. J. Plant Sci. 2023; 35 (20):1165-1176.