~ 2699 ~ International Journal of Chemical Studies 2020; 8(2): 2699-2702 P-ISSN: 2349–8528 E-ISSN: 2321–4902 www.chemijournal.com IJCS 2020; 8(2): 2699-2702 © 2020 IJCS Received: 22-01-2020 Accepted: 24-02-2020 Madhvi Sharma School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Anil Kumar Singh School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Romesh Kumar Salgotra School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Bupesh Kumar Sharma School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Sunil Shivaji Gangurde International Crops Research Institute for Semi Arid Tropics, Hyderabad, Telangana, India Parshant Bakshi School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Iqbal Jeelani Bhatt School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Corresponding Author: Madhvi Sharma School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir India Study of genetic variability and heritability for various morphological and yield attributed traits in RIL population of basmati rice ( Oryza sativa L.) Madhvi Sharma, Anil Kumar Singh, Romesh Kumar Salgotra, Bupesh Kumar Sharma, Sunil Shivaji Gangurde, Parshant Bakshi and Iqbal Jeelani Bhatt DOI: https://doi.org/10.22271/chemi.2020.v8.i2ao.9157 Abstract In the present study, during kharif 2017 and 2018, genetic variable, the genotypic and phenotypic coefficients of variation and heritability for fifteen characters in one hundred and thirty RIL populations derived from a cross between Basmati 370 and Pusa basmati 1121of rice was studied. All the characters taken under observations among the genotypes showed that there were highly significant differences for analysis of variance. Genotypic coefficients of variation were lower than the corresponding phenotypic coefficients in all the traits studied, indicating considerable influence of the environment on the expression of the traits. High heritability was estimated for panicle length (99%), grain length (75%), length breadth ratio (74%), plant height (67%), kernel elongation ratio (63%) and kernel elongation(60%) suggesting these traits are under high genetic control. High phenotypic variation was observed for yield per plant (65.73%), grain weight (40.24%), grains per panicle (20.20%) and plant height (18.39%) while number of effective tillers per panicle (11.02%) and remaining traits revealed low genotypic coefficient of variation (<10%) except for grain per panicle (14.53%). Therefore, the results suggest that these traits can be used for grain yield selection. Keywords: Rice, genetic variability, heritability, RILs Introduction Rice (Oryza sativa L.), is one of the major staple food crops for more than 3.5 billion global population. The production and consumption of global rice accounted for almost 90% by Asian countries; mainly China and India alone contribute about 55% (Kong et al., 2015) [14] . Among the cereals, rice provides up to 20% of their regular calorie intake for millions of global population. In order to ensure nutritional food security, the projected rice production must be increased to 852 million tons by 2035 (Brar et al., 2018) [7] . With the intensifications of diverse food demands and living standards of global populations, rice grain appearance and quality have become a primary concern for rice breeders. Therefore, there is an urgent need to increase the grain yield along with desirable grain nutritional quality (GQ) traits in rice (Sreenivasulu et al., 2015 and Sun et al., 2018) [22, 24] . The genetic variability components like GV, PV along with heritability are used to determine the heritable potential of the concerned genes as well as the effect of environment over them. The GCV and PCV are categorized into Low (0-10), moderate (10-20), High (≥20) (Johnson et al. 1995) [13] which suggests the possibility of improving the traits through selection. So keeping in view the above traits, the present study has been conducted to study the effect of genetic variability and heritability for various morphological and yield attributed traits in RIL population of basmati Rice Materials and Method Plant material A F 7 recombinant inbred lines (RIL) population was developed by crossing Basmati 370 and Pusa Basmati1121 by single seed descent (SSD) method by School of Biotechnology, Sher-e- Kashmir University of Agricultural Sciences and Technology of Jammu, in the year 2017 and 2018.