Correlation and Path Analysis for Yield and Related Traits in Upland Rice (Oryza Sativa L.) Varieties

Year 2021, Volume: 4 Issue: 1, 18 - 24, 01.01.2021

Bantalem Zeleke , Fisseha Worede

Abstract

The study was carried out on twenty varieties of upland rice (oryza sativa L.) to find out the correlation and path co-efficient values among the grain yield and its’ components. Genotypic and phenotypic coefficients of variation ranged from 6.44 (days to maturity) to 30.47% (yield per plant) and 6.51 (days to maturity) to 30.67% (yield per plant), respectively. High genotypic and phenotypic coefficients of variation with low magnitude of differences between the two were observed for days to maturity, yield per plant and number of filled grains per panicle. Highly significant (P<0.01) and positive phenotypic and genotypic correlations were observed between grain yield with yield per plant, number of filled grains per panicle, biomass yield in the range between 0.55 to 0.78. The highest positive and significant genotypic direct effects on grain yield were exerted by plant height, harvest index, days to maturity and biomass yield, suggesting higher chance of improving yield of upland rice through indirect selection of these traits. Grain yield was significantly and positively associated with yield per plant, number of filled grain panicle-1, and number of fertile tillers per plant and harvest index.

Keywords

Correlation coefficient, Path coefficient, Component traits, Varieties

References

• Acquaah G. 2007. Principles of plant genetics and breeding. Wiley-Blackwell, West Sussex, UK.
• Aditya JP, Bhartiya A. 2013. Genetic variability, correlation and path analysis for quantitative characters in rain fed upland rice of Uttarakhand hills. J Rice Res, 6: 24-34.
• Akhtar N, Nazir MF, Rabnawaz A, Mahmood T, Safdar ME, Asif M, Rehman A. 2011. Estimation of heritability, correlation and path coefficient analysis in fine grain rice (Oryza sativa L.). J Anim & Plant Sci, 21: 660-664.
• Allard RW. 2000. Principles of plant breeding. 2nd Ed. John Willey & Sons, New York, USA.
• Chandra R, Pradhan SK, Singh S, Bose LK, Singh ON. 2006. Agro-morphological traits as selection parameters for improvement of upland rice. Indian J Plant Genetic Res, 19(2): 184-187.
• Chowdhry MS, Alam K, Khaliq I. 1991. Harvest index in bread wheat. Pak Agri Sci, 28: 207- 210.
• Cyprien M, Kumar V. 2011. Correlation and Path coefficient analysis of rice cultivars data. J Reliability and Stat Stud, 4: 119-131.
• Ekka RE, Sarawgi AK, Kanwar RR. 2011. Correlation and Path analysis in traditional rice accessions of Chhattisgarh. J Rice Res, 4: 11-18.
• Elsadig AI, Abdalla KM. 2013. Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa L.). Global J Plant Eco Physiology, 3: 1-6.
• Hairmansis A, Kustianto B, Supartopo A, Suwarno B. 2010. Correlation analysis of agronomic characters and grain yield of rice for tidal swamp areas. Indonesian J Agri Sci, 11: 11-15.
• Hossain S, Haque MD, Rahman J. 2015. Genetic variability, correlation and Path Coefficient analysis of morphological traits in some extinct local Aman rice (Oryza sativa L). J Rice Res, 3: 158.
• Idris AE, Justin FJ, Dagash YMI, Abuali AI. 2012. Genetic variability and inter relationship between yield and yield components in some rice genotypes. American J Experimental Agri, 2: 233- 239.
• IRRI. 2013. Standard evaluation system for rice. 5th ed. International Rice Research Institute, Manila. Philippines.
• Kashif R, Ihsan K, Muhammad OF, Muhammad ZA. 2013. Correlation and cluster analysis of some yield and yield related traits in rice (Oryza sativa). Int J Agri Sci and Res, 3: 25-30.
• Madhavilatha L, Reddi Sekhar M, Suneetha Y, Srinivas T. 2005. Genetic variability, correlation and path analysis for yield and quality traits in rice (Oryza sativa L.). Res Crops, 6(3): 527-534.
• Moghaddam M, Ehdaie B, Waines JG. 1997. Genetic variation and interrelationships of agronomic characters in landraces of bread wheat from southeastern Iran. Euphytica, 95: 361–369.
• Mohsin T, Khan N, Naqvi FN. 2009. Heritability, phenotypic correlation and path coefficient studies for some agronomic characters in synthetic elite lines of wheat. J Food Agri and Envir, 7: 278-282.
• Mulugeta S, Sentayehu A, Kassahun B. 2012. Genetic variability, heritability, correlation coefficient and path analysis for yield and yield related traits in upland rice (Oryza sativa L.). J Plant Sci, 2012: 1-10.
• Pandey VR, Singh PK, Verma OP, Pandey P. 2012. Interrelationship and path coefficient estimation in under salt stress environment. Int J Agri Res, 7: 169-184.
• Rasheed SM, Sadaqat HA, Babar M. 2002. Correlation and path co-efficient analysis for yield and its components in rice (Oryza sativa L.). Asian J Plant Sci, 1: 241-244.
• Ratna M, Begum S, Husna A, Dey SR, Hossain MS. 2015. Correlation and Path coefficients analyses In: Basmati rice. J Agri Res, 40: 153-161.
• Sabesan T, Suresh R, Saravanan K. 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline low land of Tamil Nadu. Electron J Plant Breed, 1: 56-59.
• Samado EA, Guei RG, Nguyen N. 2008. NERICA: Origin, nomenclature and identification characteristics, pp. 10-19. In E.A. Somado, R.G. Guei and S.O. Keya, (eds.). NERICA®: The New Rice for Africa – a Compendium. Africa Rice Center, Cotonou, Benin.
• SAS. 2013. Statistical Analysis System. Version 9.4. SAS Institute Inc., Cary, NC., USA.
• Sharma RK, Dubay SD. 1997. Variation and association among panicle traits in rice. Oryza, 34: 8-12.
• Singh RK, Chaundry BD. 1985. Biometrical methods in quantitative genetic analysis. Kalayani Publishers, New Delhi-Ludhiana, India.
• Surek H, Beser N. 2003. Correlation and path analysis for some yield related traits in rice (Oryza sativa L.) under terrace conditions, Turk J Agri, 27: 77-83.
• Zhang WH, Kokubun M. 2004. Historical changes in grain yield and photosynthetic rate of rice cultivars released in the 20th century in Tohoku region. Plant Prod Sci, 7(1): 36-44.