Genetic Variability And Interrelationship Analysis Of Quantitative Traits In Rice (Oryza Sativa L.) Germplasm
DOI:
https://doi.org/10.48165/Keywords:
Correlation, germplasm, path analysis, quantitative traits, rice, variabilityAbstract
The present investigation was carried out to assess the genetic variability parameters, correlation and path analysis in 95 elite rice germplasm collections for 12 yield and its contributing traits during kharif, 2018 in a randomized block design, replicated twice. Theanalysis of variance for mean sum of squares due to genotypes showed significant differences for all the quantitative characters studied at 1 and 5% level of significance. PCV and GCV were high for traits like days to 50% flowering, tillers plant1, productive tillers plant-1, length/breadth ratio and grain yield plant-1. High heritability (> 60%) coupled with high genetic advance as percentage of mean (> 30%) was recorded for days to 50% flowering, leaf length, tillers plant-1, productive tillers plant-1, L/B ratio, grain width, 100 grain weight and grain yield plant-1indicating thepreponderance of additive gene action. The grain yield plant-1 had highly significant and positive correlation both at genotypic and phenotypic levels with tillers hill-1, productive tillers plant-1, panicle length and days to 50% flowering. High direct effects of these characters appeared to be the main reason for their strong association with grain yield except for number of productive tillers plant-1 which had strong association with yield through indirect effect (i.e. through tillers plant-1. Hence, direct selection for these characters would be very effective for further improvement of grain yield in rice and for the selection of elite genotypes.
Downloads
References
Acharya, N., Acharya, S.S., Poudel A. and Neupane, N. 2019. Genetic variability, correlation and path analysis of different hill-rice (Oryza sativa) genotypes. Global Journal of Science Frontier Research: D: Agriculture and Veterinary, 19(4): 1-10.
Aditya, J.P. and Anuradha, B. 2013. Genetic variability, correlation and path analysis for quantitative characters in rainfed upland rice of Uttarakhand hills. Journal of Rice Research, 6(2): 24-34. Akter, N., Islam, M.Z., Chakrabarty, T. and Khalequzzaman, M. 2018. Variability, heritability and diversity analysis for some morphological traits in basmati rice (Oryza sativa L.) genotypes. The Agriculturist, 16(2): 1-14.
Burton, G.W. and Devane. 1953. Estimation of heritability in tall fescue. Festulaarundnaceafrom replicated clonal material. Agronomy, 45: 478-481.
CRRI. 2013. Vision 2050. Central Rice Research Institute, Indian Council of Agricultural Research, Cuttack, Odisha, India (https://icar-nrri.in/wp-content/uploads/2019/08/ebook_crrivision2050 _final_16Jan13.pdf)
Devi, R.K., Satish, C.B., Lingaiah, N., Hari, Y. and Venkanna, V. 2017. Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza sativa L.). Agricultural Science Digest, 37: 1-9.
Dewey, D.R and Lu, K.H. 1959. Genetic variability, correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomic Journal, 51: 515-518. DOA/TNAU. 2020. Crop Production Guide - Agriculture 2020. Directorate of Agriculture, Chepauk, Chennai/ Tamil Nadu Agricultural University Coimbatore, India. Falconer, D.S. 1960. Introduction to Quantitative Genetics. Longman, New York, USA. Gangashetty, P.I., Salimath, P.M. and Hanamaratti, N.G. 2013. Genetic variability studies in genetically diverse non-basmatilocal aromatic genotypes of rice (Oryza sativa L.). Rice Genomics and Genetics, 4(2): 48.
Gour. L., Koutu, G.K., Singh, S.K., Patel, D.D., Shrivastava, A. and Singh, Y. 2017. Genetic variability, correlation and path analyses for selection in elite breeding materials of rice (Oryza sativa L.) genotypes in Madhya Pradesh. The Pharma Innovation Journal, 6(11): 693-696.
Hossain, S., Salim, M.D., Golam M.D. Azam, L. and Noman, S. 2018. Variability, correlation and path analysis in drought tolerant rice (Oryza sativa L.) Journal of Bioscience and. Agriculture Research, 18(2): 1521-1530.
Huang, R., Jiang, L., Zheng, J., Wang, T., Wang, H. and Huang, Y. 2013. Genetic bases of rice grain shape: so many genes, so little known. Trends in Plant Science, 18: 218-226. Johnson, H., Robinson, N. and Comstock, R.E. 1955. Estimate of genetic and environmental variability in soybean. Agronomy Journal, 27: 314-318.
Kalpana, K., Thirumeni, S., Vengadessan, V. and Mohamed, Y. 2018. Genetic variability studies for yield and quality traits in rice (Oryza sativa L.). International Journal of Applied Agricultural and Horticultural Sciences, 9: 224-227.
Li, R., Li, M., Ashraf, U., Liu, S. and Zhang, J. 2019. Exploring the relationships between yield and yield-related traits for rice varieties released in China from 1978 to 2017. Trends in Plant Science, 10: 11-25.
Mohanthy, S. and Yamano, T. 2017. Rice food security in India: Emerging challenges and opportunities. pp. 1-13. In: The Future Rice Strategy for India (eds. S. Mohanty, P.G. Chengappa, J.K. Mruthyunraja, S. Ladha, E. Baruah, A. Kannan and V. Majunatha). Academic Press, Elsevier, Oxford, United Kingdom.
Panse, V.G. and Sukhatme, P.V. 1961. Statistical Methods for Agricultural Workers (2ndedn.). ICAR, New Delhi, India.
Pathak, H., Samal, P. and Shahid, M. 2018. Revitalizing rice systems for enhancing productivity, profitability and climate resilience. pp. 1-17. In. Rice Research for Enhancing Productivity,
Genetic studies in rice germplasm collections 299
Profitability and Climate Resilience (eds. H. Pathak, A.K. Nayak, M. Jena, O.N. Singh, P. Samal and S.G. Sharma). ICAR-National Rice Research Institute, Cuttack, Odisha, India. Pragnya, K., Krishnan, K.V.R., Rao, L.V.S. and Suneetha. K. 2018. Estimation of genetic variability parameters in soft rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 7(6): 2029-2042.
Rukmini, D.K., Chandra, B.S., Lingaiah, N., Hari, Y. and Venkanna, V. 2017. Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza sativa L.). Agriculture Science Digest, 37(1): 1-9.
Saha, S.R., Hassan, L., Ashraful Haque, M., Mirza, M.I. and Rasel, M. 2019. Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces. Journal of Bangladesh Agricultural Universities, 17(1): 26-32.
Setty, M., Suresh B.G. and Pasha, S. G. 2019. Genetic variability and interrelationship analyses for quantitative traits in elite germplasm of rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 8(12): 342-350.
Shivani, D., Cherlu, C., Neeraja, C.N. and Shankar, V.G. 2018. Genetic variability studies in Swarna x Type 3 RILs population of rice (Oryza sativa L.). International Journal of Pure and Applied Biosciences, 6(2): 384-392.
Siddi, S. 2020. Genetic variability and trait association studies for gall midge incidence, yield and its traits in rice (Oryza sativa L.) genotypes. Journal of Entomology and Zoology Studies, 8: 30-34. Thorat, B.S., Kunkerkar, R.L., Raut, S.M., Desai, S.S., Gavai, M.P., Keluskar, M.H. and Dhekale, J.S. 2019. Correlation studies in hybrid rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 8(4): 1158-1164.
Tiwari Dev Nidhi, Santosh, R.T., Mahendra Prasad, T., Narayan, K. and Bishwas Raj, B. 2019. Genetic variability and correlation coefficients of major traits in early maturing rice under rainfed lowland environments of Nepal. Advances in Agriculture, 1-9, Article ID 5975901 (https://doi.org/10.1155/2019/5975901).
Downloads
Published
Issue
Section
How to Cite
