1.Abdul, F.R., Ramya, K.T., Ajay, B.C., Gireesh, C. and Kulkarni, R.S. 2011. Genetic variability, correlation and path coefficient analysis studies in rice (Oryza sativa L.) under alkaline soil condition. Elect. J. Plant Breed., 2(4): 531–537.

2.Adhikari, B.N., Joshi, B.P., Shrestha, J. and Bhatta, N.R. 2018. Genetic variability, heritability, genetic advance and correlation among yield and yield components of rice (Oryza sativa L.). J. Agric. Nat. Resour., 1(1): 149–160.

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

4.Akshay, M., Chandra, B.S., Devi, K.R. and Hari, Y. 2022. Genetic variability studies for yield and its attributes, quality and nutritional traits in rice (Oryza sativa L.). Pharma Innov. J., 11(5): 167–172.

5.Babu, V.R., Shreya, K., Dangi, K.S., Usharani, G. and Nagesh, P. 2012. Genetic variability studies for qualitative and quantitative traits in popular rice (Oryza sativa L.) hybrids of India. Int. J. Sci. Res. Publ., 2(6): 1–5.

6.Bhati, M. and Rajput, G.S.B.A.S. 2015. Genetic variability, correlation and path coefficient for grain yield and quantitative traits of elite rice (Oryza sativa L.) genotypes at Uttar Pradesh. Elect. J. Plant Breed., 6(2): 586–591.

7.Bhattacharjee, M., Majumder, K., Kundagrami, S. and Dasgupta, T. 2020. Evaluation of recombinant inbred lines for higher iron and zinc content along with yield and quality parameters in rice (Oryza sativa L.). Indian J. Agric. Res., 54(6): 724–730.

8.Bouman, B. 2009. How much water does rice use. Manage., 69(2): 115–133.

9.Chandramohan, Y., Srinivas, B., Thippeswamy, S. and Padmaja, D. 2016. Diversity and variability analysis for yield parameters in rice (Oryza sativa L.) genotypes. Indian J. Agric. Res., 50(6): 609–613.

10.Dhavaleshvar, M., Malleshappa, C. and Kumar, D.M.B. 2019. Variability, correlation and path analysis studies of yield and yield attributing traits in advanced breeding lines of rice (Oryza sativa L.). Int. J. Pure App. Biosci., 7(1): 267–273.

11.Durgude, S.A., Ram, S., Kumar, R., Singh, S.V., Singh, V., Durgude, A.G., Pramanick, B., Maitra, S., Gaber, A. and Hossain, A., 2022. Synthesis of Mesoporous Silica and Graphene-Based FeO and ZnO Nanocomposites for Nutritional Biofortification and Sustained the Productivity of Rice (Oryza sativa L.). J. Nanomater. 2022(1): 5120307,

12.Gaikwad, D.J., Ubale, N.B. Pal, A., Singh, S., Ali, M. A., Maitra, S.2022. Abiotic stresses impact on major cereals and adaptation options - A review. Res. Crop, 23(4): 896-915.

13.Islam, M.A., Raffi, S.A., Hossain, M.A. and Hasan, A.K. 2015. Analysis of genetic variability, heritability and genetic advance for yield and yield associated traits in some promising advanced lines of rice. Prog. Agric., 26(1): 26–31.

14.Joshi, M.A., Singh, P., Sarao, N.K., Sharma, R.C. and Bharaj, T.S. 2008. Genetic diversity among the rice varieties cultivated in Punjab. Oryza, 45(4): 277–279.

15.Kanavi, M.S.P., Prakash, K., Somu, G. and Marappa, N. 2020. Genetic diversity study through K-means clustering in germplasm accessions of green gram [Vigna radiata (L.)] under drought condition. Int. J. Bio-Resour. Stress Manag., 11(2): 138–147.

16.Kozak, M., Bocianowski, J. and Rybinski, W. 2008. Selection of promising genotypes based on path and cluster analyses. J. Agric. Sci., 146(1): 85–92.

17.Mondal, M., Biswas, B., Garai, S., Adhikary, S., Bandyopadhyay, P.K., Sarkar, S., Banerjee, H., Brahmachari, K., Maitra, S., Mandal, T.K. and Gaber, A., 2021. Raising climateresilient embolden rice (Oryza sativa L.) seedlings during the cool season through various types of nursery bed management. Sustainability, 13: 12910.

18.Namata, K. 2022. Genetic analysis of grain micronutrients and yield components in rice (Oryza sativa L.) genotypes. M.Sc. Thesis, Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur), Bihar.

19.Quadri, S.S.T., Shashidhara, N., Reddy, U.G. and Lamani, K.D. 2023. Genetic variability and correlation studies of different rice (Oryza sativa L.) genotypes under aerobic condition. J. Farm Sci., 36(2): 128–131.

20.Ram, M.S., Shankar, T., Maitra, S., Adhikary, R. and Swamy, G.V.V.S.N., 2020. Productivity, nutrient uptake and nutrient use efficiency of summer rice (Oryza sativa) as influenced by integrated nutrient management practices. Crop Res., 55: 65-72.

21.Ranjith, P., Sahu, S., Dash, S.K., Bastia, D.N. and Pradhan, B.D. 2018. Genetic diversity studies in rice (Oryza sativa L.). J. Pharmacogn. Phytochem., 7(2): 2529–2531.

22.Sabesan, T., Suresh, R. and Saravanan, K. 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline low land of Tamil Nadu. Elect. J. Plant Breed., 1(1): 56–59.

23.Sairam, M., Maitra, S., Praharaj, S., Nath, S., Shankar, T., Sahoo, U., Santosh, D.T., Sagar, L., Panda, M., Shanthi Priya, Ashwini, T.R., Gaikwad, D.J., Hossain, A. Pramanick, B., Jatav, H.S., Gitari, H.I. and Aftab, T. 2023. An insight into the consequences of emerging contaminants in soil and water and plant responses. In: Emerging Contaminants and Plants Interactions, Adaptations and Remediation Technologies, Aftab, T. (Ed.), pp. 1 - 27.

24.Santosh, D. T., Debnath, S., Maitra, S., Sairam, M., Sagar, L. L., Hossain, A. and Moulick, D. 2024. Alleviation of climate catastrophe in agriculture through adoption of climatesmart technologies. In: Climate Crisis: Adaptive Approaches and Sustainability, (Eds; Chatterjee, U., Shaw, R., Kumar, S., Raj, A.D. and Das, S.) Springer Nature Switzerland, pp. 307-332.

25.Shankar, T., Maitra, S., Ram, M.S. and Mahapatra, R., 2020. Influence of integrated nutrient management on growth and yield attributes of summer rice (Oryza sativa L.). Crop Res., 55: 1-5.

26.Shashidhara, N., Biradar, H. and Hittalmani, S. 2013. Genetic variation in F3 and F4 population of rice (Oryza sativa L.) for grain protein content (GPC), seed nutrients, yield attributing parameters and parental polymorphism. Bioinfolet, 10(2): 572–580.

27.Singh, K.S., Suneetha, Y., Kumar, G.V., Rao, V.S., Raja, D.S. and Srinivas, T. 2020. Variability, correlation and path studies in coloured rice. Int. J. Chem. Stud., 8(4): 2138–2144.

28.Srihari, G., Babu, P.R., Babu, J.D., Jayalalitha, K. and Sreelakshmi, C. 2023. Characterisation, genetic parameters of variation and correlation studies in Molakolukulu rice cultivars of Andhra Pradesh, India. Elect. J. Plant Breed., 14(2): 540–550.

29.Srujana, G., Suresh, B.G., Lavanya, G.R., Ram, B.J. and Sumanth, V. 2017. Studies on genetic variability, heritability and genetic advance for yield and quality components in rice (Oryza sativa L.). J. Pharmacogn. Phytochem., 6(4): 564–566.

30.Talekar, S.C., Praveena, M.V. and Satish, R.G. 2022. Genetic variability and association studies for grain yield and yield related traits in rice (Oryza sativa L.). Int. J. Plant Sci., 17(2): 202–208.

31.Thuy, N.P., Trai, N.N., Khoa, B.D., Thao, N.H.X., Phong, V.T. and Thi, Q.V.C. 2023. Correlation and path analysis of association among yield, micronutrients, and protein content in rice accessions grown under aerobic condition from Karnataka, India. Plant Breed. Biotechnol., 11(2): 117–129.

32.Tuong, T.P. and Bouman, B.A. 2003. Rice production in waterscarce environments. Water Prod. Agric., 1: 13–42.

33.Uday, G. and Hittalmani, S. 2016. Performance of recombinant inbred lines of BPT5204 × HP14 rice crosses for yield and drought related traits under aerobic drought condition. Int. J. Agric. Sci. Res., 6(1): 283–292.

34.Yadav, S.K., Suresh, B.G., Pandey, P. and Kumar, B. 2010. Assessment of genetic variability, correlation and path association in rice (Oryza sativa L.). J. Biol. Sci., 18: 1–8.

35.Zaman, A., Zaman, P. and Maitra, S., 2017. Water resource development and management for agricultural sustainability. J. Appl. Adv. Res., 2(2): 73-77.