~ 328 ~ Journal of Pharmacognosy and Phytochemistry 2021; 10(1): 328-330 E-ISSN: 2278-4136 P-ISSN: 2349-8234 www.phytojournal.com JPP 2021; 10(1): 328-330 Received: 19-10-2020 Accepted: 17-12-2020 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 Division of Plant breeding and Genetics, Sher-e- Kashmir university of agricultural sciences and technology, Jammu and Kashmir, India Sunil Shivaji Gangurde International Crops Research Institute for Semi-Arid Tropics, Hyderabad, Telangana, India Parshant Bakshi Division of Fruit Sciences, Sher-e- Kashmir University of agricultural sciences and technology, Jammu and Kashmir, India Meenakshi Raina School of Biotechnology, Sher-e- Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir, India Banti Kumar Department of Physical Sciences and Languages, COBS, CSK HPKV, Palampur, Himachal Pradesh, India Corresponding Author: Madhvi Sharma School of Biotechnology, Sher-e- Kashmir University of Agricultural Sciences and Technology, Chatha, Jammu and Kashmir, India Assessment of genetic advance and correlation coefficient for yield and yield attributed traits of RIL population in basmati rice ( Oryza sativa L.) Madhvi Sharma, Anil Kumar Singh, Romesh Kumar Salgotra, Bupesh Kumar Sharma, Sunil Shivaji Gangurde, Parshant Bakshi, Meenakshi Raina and Banti Kumar Abstract During kharif 2018, one hundred thirty (Oryza sativa L.) RILs derived from a cross between Basmati 370 and Pusa basmati1121 were evaluated for fifteen quantitative traits related to grain quality and yield to examine the nature and magnitude of genetic variability, correlation coefficient analysis and genetic advance. Estimates of correlation coefficient, genetic variability, heritability and genetic advance in per cent of mean were also obtained for the above fifteen traits. Analysis of variance revealed that significant amount of genetic variability was present in the entire characters studied. The highest positive correlation was observed between PL and PH (r=0.33), ET and PH (r=0.21) followed by GW and GPP (r=0.20). Some of the traits showed then significant negative correlation with each other like YPP and PL (r=- 0.25), KE and GW(r=-0.02) and KE and YPP (r=-0.11). High phenotypic variation was observed for yield per plant (40.25%), effective tillers per plant (42.28%) and amylose content (37.41%), Moderate phenotypic variations was recorded in plant height (12.23%), panicle length (11.99%) and so many other traits. Therefore, the present study was undertaken to find the genetic variability, correlation coefficient analysis, genetic advance through RIL population for the Selection criteria of fine rice lines. Keywords: Rice, variability, heritability, phenotypic variation, correlation, genetic advance 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) [12] . 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) [4] . Yield is a complex trait and various morphological and physiological characters contribute to grain yield. Many plant characters with the economic values are mostly and highly influenced by environmental conditions, the progress of breeding in such population is primarily conditioned by the magnitude and nature of variation and interrelationship of plant characters (Gandhi et al., 1964) [7] . The correlation coefficient between yield and yield attributing traits has always been helpful as a basis for selection in breeding purposes. Correlation coefficient analysis measures the mutual relationship between various plant characters and determines the component characters on which selection can be based for genetic improvement in yield. While selecting the suitable plant type, correlation studies would provide reliable information in nature, extent and the direction of the selection, especially when the breeder needs to combine high yield potentials with desirable agronomic traits and grain quality characters. A positive value of correlation shows that the changes of two variables are in the same direction, i.e., high value of one variable are associated with high values of other and vice-versa. When correlation is negative the movements are in opposite directions, i.e., high values of one variable are associated with low values of other. The knowledge of genetic variability present in the crop taken under observation for various characters under improvement is of significant importance for the success of any plant breeding programme. Heritability estimates along with genetic advance are very helpful in predicting the gain under selection than heritability estimates alone. Therefore, the present study was undertaken to find the genetic variability, correlation coefficient analysis, genetic advance through RIL population for the Selection criteria of fine rice lines.