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Shiv Kumar Payasi Aidin Hamidi Yogendra Singh Rahul Patidar
The study was taken up to estimate 32 advance breeding lines of rice for grain yield and the related traits in three different planting techniques, viz. direct seeded condition (E-I), transplanting with spacing of 15 x 15 cm (E-II) and 25 x 15 cm (E-III). The experimentation was carried out to explore the parameters of hereditary & variability for yield along-with yield components, to study the extent of association and direct and indirect special effects of different yield components on grain yield in rice. The analysis of variance from the experimental results documented significant changes amongst various genotypes for all studied traits with respect to the three planting spacing. High GCV, high magnitude of broad sense heritability coupled with genetic advance as percentage of mean was detected for grain yield/plant and harvest index. These above-mentioned traits displayed considerable contribution of different additive gene action for their phenotypic appearance. The characters harvest index (%), biological yield/plant, flag leaf angle and no. of productive tillers/plant showed positive correlation & direct effect on grain yield per plant on pooled analysis. It indicated that these traits might be included in formulating criteria of selection for enhancement of the grain yield per plant in rice.
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Correlation, Genetic variability, Path analysis, Rice, spacing
Ajmera, S., Kumar, S. S., & Babu, R. V. (2017). Studies on Stability Analysis for Grain Yield and its Attributes in Rice (Oryza sativa L.) Genotypes, Int. J. Pure App. Biosci, 5(4), 892-908.
Archana, R. S., Rani, S. M., Vardhan, V. K. M., & Fareeda, G. (2018). Correlation and path coefficient analysis for grain yield, yield components and nutritional traits in rice (Oryza sativa L.). International Journal of Chemical Studies, 6(4), 189-195.
Bhardwaj, R. K., Bhardwaj, V., Singh, D. P., Gautam, S. S., Jatav, G., & Saxena, R. R. (2017). Study of Stability Analysis of Rice Varieties through Non-Parametric Approaches in Chhattisgarh, India. International Journal of Current Microbiology and Applied Sciences, 6(7), 1087-1095.
Bhujell, J., Sharma, S., Shrestha, J., & Bhattarai, A. (2018). Correlation and path coefficient analysis in normal irrigated rice (Oryza sativa L.). Fmg. & Mngmt, 3(1), 19-22.
Chowdhary, B., Nath, A. & Dasgupta, D. (2016). Characterization and variability analysis of rice genotypes with reference to cooking quality parameters. J. of Agri. and Vet. Science, 9(4): 8-12.
Dhurai, S. Y., Reddy, D. M., & Ravi, S. (2016). Correlation and path analysis for yield and quality characters in rice (Oryza sativa L.). Rice Genomics and Genetics, 7(4), 1-6.
Katkani, D., Payasi, S. K., Patel, V., & Chamar, J. P. (2021). Stability analysis of rice (Oryza sativa L.) under different micro-environments. Oryza, 58(4), 477-486.
Kumar, S., Chauhan, M. P., Tomar, A., Kasana, R. K. & Kumar, N. (2018). Correlation and path coefficient analysis in rice (Oryza sativa L.). The Pharma Innovation Journal, 7(6), 20-26.
Manjunatha, G. A, Kumar, S. M., & Jayashree, M. (2017). Character association and Path analysis in rice (Oryza sativa L.) genotypes evaluated under organic management. Journal of Pharmacognosy and Phytochemistry, 6(6), 1053-1058.
Menaka, K., & Ibrahim, S. M. (2015). Correlation and path coefficient analysis for yield and grain quality parameters in rice (Oryza sativa L). Int. J. of Agri. Sciences, 2(14), 903-906.
Ovung, C.Y., Lal, G. M. & Prashant, K. R. (2012). Studies on genetic diversity in Rice (Oryza sativa L). Journal of Agricultural Technology, 8(3), 1059-1065.
Pandey, S., Doss, D. D., & Shashidhar, H. E. (2017). Correlation and path analysis of yield determinants and micronutrient content in rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry, 7(1), 2723-2728.
Pillai, S., & Tulasi T. (2008). Production potential and nutrient use efficiency of basmati Rice (Oryza sativa L.) under integrated nutrient management. Green Farming. 1(9), 11-13.
Prasad, R. K., Krishna, R. K. V., Bhave, M. H. V. & Rao, L. V. S. (2017). Genetic variability, Heritability and Genetic advance in Boro Rice (Oryza sativa L.) germplasm. International Journal of Current Microbiology and Applied Sciences, 6(4), 1261-1266.
Rahman, A., Shah, S. M. A., Rahman, H., Shah, L., Ali, A., & Raza, A. A. (2015). Genetic Variability for Yield and Yield Associated Traits in F2 Segregating Populations of Rice. Acad. J. of Agric. Res, 4(1), 18-24.
Rashid, M. M., Hassan, L., Das, B., & Begum, S. N. (2017). Correlation and path coefficient analysis of yield and yield attributing traits in Rice. International Journal of Sustainable Crop Production, 12(2), 1-6.
Rashmi, K. P., Kumar, D. B. M., Nishanth, G. K. & Prasad, G. S. (2017). Stability Analysis for Yield and its Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.) International Journal of Current Microbiology and Applied Sciences, 6(5), 1579-1589.
Rolando, O., Torres, Henry, A. (2016). Yield stability of selected rice breeding lines and donor across conditions of mild to moderately severe drought stress. Field Crops Research Journal, 220, 37-45.
Sadimantara, G. R., Kadidaa, B., Suaib, Safuan, L. O., & Muhidin. (2018). Growth performance and yield stability of selected local upland rice genotypes in Buton Utara of Southeast Sulawesi, International Conference on Agriculture, Environment, and Food Security Earth and Environmental Science, 122.
Sameera, S., Srinivas, T., Rajesh, A. P., Jayalaxmi, V., & Nirmala, P. J. (2016). Variability and path-coefficient for yield and yield component in rice. Bangladesh J. Agril. Res, 41(2), 259-271.
Sritama K, Biswajit P., & Sabyasachi, K. (2015). Study of Genetic Parameters and Character Association of Different Agro- Morphological Characters in some Paddy Genotypes for Saline and Non- Saline Belts of West Bengal, India. Res. J. Agric. Fore. Sci. 3(5), 6-15.
USDA, World agriculture production, Foreign agriculture service, circular series WAP 9-20 Sept 2020.
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